21 Analytics Manager jobs in Kuwait
Talent Analytics Manager - Canonical
Kuwait City, Al Kuwayt
Talent Pal
Posted today
Job Viewed
Job Description
We are looking for an experienced people manager to lead the delivery of our Talent Science roadmap on predicting job performance and hiring outcomes. This is an exceptional opportunity to join a team that is changing the way an organisation hires by deep examination of performance drivers to ensure our hiring processes feed a culture of exceptional talent.
As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our hiring processes are effective and that the business is able to make the best decisions to select and hire exceptional talent.
Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world-class talent, regardless of location, culture, or background.
Our team is looking to hire a Manager to lead a group of Talent Scientists whose quest it is to best predict performance outcomes. This role will report directly to the Global Head of Talent Science.
Your role will include:
- Leading a team to deliver an analytical roadmap of projects (Prediction of performance outcomes, advancing psychometric approaches, driving automation on our platforms) using innovative and scalable solutions to hiring as we go through a period of significant growth.
- Act as a partner to our senior stakeholders bringing exceptional analytics to our hiring process with a point of view to how an organization builds a culture of exceptional talent.
- Use advanced data-driven analytical approaches to solve problems and innovate.
Location: EMEA - Home based
What your day will look likeIn this role you will:
- Lead a team of data-driven analytical talent experts who are responsible for ensuring that our hiring teams are able to select game-changing talent.
- Lead and drive deep analytical and data-backed approaches to projects that enable us to develop our hiring processes and outcomes, including statistical significance testing, Bayesian inference and/or predictive analytics and ML and tools such as SQL/Python/R.
- Bring an expert point of view talent assessment discovering the attributes that drive ultimate job success, reviewing our assessment effectiveness to drive continuous improvement.
- Build key relationships with global Hiring Leadership stakeholders to drive our hiring agenda.
- Be seen as a thought leader on talent initiatives with an inherent belief that past performance predicts future success.
What we are looking for in you
- An undergraduate or postgraduate degree in psychology/industrial psychology, or a compelling narrative about your alternative chosen path, together with an exceptional academic track record throughout your education years.
- Proven management experience inspiring and leading talent teams to deliver against strategic hiring initiatives.
- Excellent project management skills to lead roadmaps, including driving efficiency and delivering results.
- Exceptional analytical skills to examine data and identify patterns, trends, and behaviors: statistical significance testing, Bayesian inference and/or predictive analytics and ML and tools such as SQL/Python/R.
- A thought leader in the talent space with the ability to influence best practice, bringing a solid point of how to build a high-performance organization.
- Proven ability to work with senior stakeholders to drive a professional outlook on hiring talent as well as challenge the status quo.
- A sense of urgency with results-driven approaches to deliver business-critical projects
- Willingness to travel internationally up to 4 times a year for internal team and company events.
Other skills you may bring
- Experience in building data dashboards.
- Exposure to the following tools: LinkedIn Recruiter and Talent Insights, Greenhouse, DISC profiling/Thomas International.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals.
Fully remote working environment - we’ve been working remotely for 20 years.
Personal learning and development budget of 2,000USD per annum
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
Priority Pass for travel and travel upgrades to Premium Economy for long-haul company events
About CanonicalCanonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open sourc
As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our hiring processes are effective and that the business is able to make the best decisions to select and hire exceptional talent.
Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world-class talent, regardless of location, culture, or background.
Our team is looking to hire a Manager to lead a group of Talent Scientists whose quest it is to best predict performance outcomes. This role will report directly to the Global Head of Talent Science.
Your role will include:
- Leading a team to deliver an analytical roadmap of projects (Prediction of performance outcomes, advancing psychometric approaches, driving automation on our platforms) using innovative and scalable solutions to hiring as we go through a period of significant growth.
- Act as a partner to our senior stakeholders bringing exceptional analytics to our hiring process with a point of view to how an organization builds a culture of exceptional talent.
- Use advanced data-driven analytical approaches to solve problems and innovate.
Location: EMEA - Home based
What your day will look likeIn this role you will:
- Lead a team of data-driven analytical talent experts who are responsible for ensuring that our hiring teams are able to select game-changing talent.
- Lead and drive deep analytical and data-backed approaches to projects that enable us to develop our hiring processes and outcomes, including statistical significance testing, Bayesian inference and/or predictive analytics and ML and tools such as SQL/Python/R.
- Bring an expert point of view talent assessment discovering the attributes that drive ultimate job success, reviewing our assessment effectiveness to drive continuous improvement.
- Build key relationships with global Hiring Leadership stakeholders to drive our hiring agenda.
- Be seen as a thought leader on talent initiatives with an inherent belief that past performance predicts future success.
What we are looking for in you
- An undergraduate or postgraduate degree in psychology/industrial psychology, or a compelling narrative about your alternative chosen path, together with an exceptional academic track record throughout your education years.
- Proven management experience inspiring and leading talent teams to deliver against strategic hiring initiatives.
- Excellent project management skills to lead roadmaps, including driving efficiency and delivering results.
- Exceptional analytical skills to examine data and identify patterns, trends, and behaviors: statistical significance testing, Bayesian inference and/or predictive analytics and ML and tools such as SQL/Python/R.
- A thought leader in the talent space with the ability to influence best practice, bringing a solid point of how to build a high-performance organization.
- Proven ability to work with senior stakeholders to drive a professional outlook on hiring talent as well as challenge the status quo.
- A sense of urgency with results-driven approaches to deliver business-critical projects
- Willingness to travel internationally up to 4 times a year for internal team and company events.
Other skills you may bring
- Experience in building data dashboards.
- Exposure to the following tools: LinkedIn Recruiter and Talent Insights, Greenhouse, DISC profiling/Thomas International.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals.
Fully remote working environment - we’ve been working remotely for 20 years.
Personal learning and development budget of 2,000USD per annum
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
Priority Pass for travel and travel upgrades to Premium Economy for long-haul company events
About CanonicalCanonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open sourc
This advertiser has chosen not to accept applicants from your region.
0
Engineering Manager - MLOps & Analytics
Canonical
Posted 8 days ago
Job Viewed
Job Description
Join to apply for the Engineering Manager - MLOps & Analytics role at Canonical
3 days ago Be among the first 25 applicants
Join to apply for the Engineering Manager - MLOps & Analytics role at Canonical
The role of an Engineering Manager at Canonical
As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, while at the same time staying aware of that the best way to improve the product is to ensure that the whole team is focused, productive and unblocked.
You are expected to help them grow as engineers, do meaningful work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. You will also be expected to be a positive influence on culture, facilitate technical delivery, and regularly reflect with your team on strategy and execution.
You will collaborate closely with other Engineering Managers, product managers, and architects, producing an engineering roadmap with ambitious and achievable goals.
We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast.
Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices, documentation, quality and performance optimisation is as important, as is the requirement for fair and clear management, and the obligation to ensure a high-performing team.
Location: This is a Globally remote role.
What your day will look like
- Manage a distributed team of engineers and its MLOps/Analytics portfolio
- Organize and lead the team's processes in order to help it achieve its objectives
- Conduct one-on-one meetings with team members
- Identify and measure team health indicators
- Interact with a vibrant community
- Review code produced by other engineers
- Attend conferences to represent Canonical and its MLOps solutions
- Mentor and grow your direct reports, helping them achieve their professional goals
- Work from home with global travel for 2 to 4 weeks per year for internal and external events
- A proven track record of professional experience of software delivery
- Professional python development experience, preferably with a track record in open source
- A proven understanding of the machine learning space, its challenges and opportunities to improve
- Experience designing and implementing MLOps solutions
- An exceptional academic track record from both high school and preferably university
- Willingness to travel up to 4 times a year for internal events
The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
- Hands-on experience with machine learning libraries, or tools.
- Proven track record of building highly automated machine learning solutions for the cloud.
- Experience with building machine learning models
- Experience with container technologies (Docker, LXD, Kubernetes, etc.)
- Experience with public clouds (AWS, Azure, Google Cloud)
- Experience in the Linux and open-source software world
- Working knowledge of cloud computing
- Passionate about software quality and testing
- Experience working on a distributed team on an open source project -- even if that is community open source contributions.
- Demonstrated track record of Open Source contributions
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
- Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004!
- Personal learning and development budget of USD 2,000 per year
- Annual compensation review
- Recognition rewards
- Annual holiday leave
- Maternity and paternity leave
- Employee Assistance Programme
- Opportunity to travel to new locations to meet colleagues from your team and others
- Priority Pass for travel and travel upgrades for long haul company events
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Software Development
Referrals increase your chances of interviewing at Canonical by 2x
Sign in to set job alerts for “Engineering Manager” roles. Engineering Manager - Solutions Engineering Software Engineering Manager - Sustaining Engineering Technical Manager - Automotive and Industrial Engineering Manager - Build and Release Infrastructure Software Engineering Manager - Container and Virtualisation Infrastructure Systems Integrations Engineering Manager Software Engineering Manager, Ubuntu Gaming Software Engineering Manager - Ubuntu Linux Kernel Salesforce Engineering Manager, Commercial Systems Linux Engineering Manager - Optimisation for Latest Hardware Engineering Manager for IAM (Identity and Access Management) Software Platform Engineering Manager - Ubuntu for Next-Gen Silicon Embedded Linux Field Engineering Manager Linux Enablement - Software Engineering Manager Ubuntu Enablement - Software Engineering Manager Revenue Accounting Manager - Software Industry, IFRS 15, NetSuite Product Manager - Industrial Sector Lead Product Manager - Hardware CertificationWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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1
Engineering Manager - MLOps & Analytics
Kuwait City, Al Kuwayt
Canonical
Posted 7 days ago
Job Viewed
Job Description
Join to apply for the
Engineering Manager - MLOps & Analytics
role at
Canonical 3 days ago Be among the first 25 applicants Join to apply for the
Engineering Manager - MLOps & Analytics
role at
Canonical The role of an Engineering Manager at Canonical
As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, while at the same time staying aware of that the best way to improve the product is to ensure that the whole team is focused, productive and unblocked.
You are expected to help them grow as engineers, do meaningful work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. You will also be expected to be a positive influence on culture, facilitate technical delivery, and regularly reflect with your team on strategy and execution.
You will collaborate closely with other Engineering Managers, product managers, and architects, producing an engineering roadmap with ambitious and achievable goals.
We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast.
Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices, documentation, quality and performance optimisation is as important, as is the requirement for fair and clear management, and the obligation to ensure a high-performing team.
Location:
This is a Globally remote role.
What your day will look like
Manage a distributed team of engineers and its MLOps/Analytics portfolio Organize and lead the team's processes in order to help it achieve its objectives Conduct one-on-one meetings with team members Identify and measure team health indicators Interact with a vibrant community Review code produced by other engineers Attend conferences to represent Canonical and its MLOps solutions Mentor and grow your direct reports, helping them achieve their professional goals Work from home with global travel for 2 to 4 weeks per year for internal and external events
What we are looking for in you
A proven track record of professional experience of software delivery Professional python development experience, preferably with a track record in open source A proven understanding of the machine learning space, its challenges and opportunities to improve Experience designing and implementing MLOps solutions An exceptional academic track record from both high school and preferably university Willingness to travel up to 4 times a year for internal events
Additional skills that you might also bring
The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
Hands-on experience with machine learning libraries, or tools. Proven track record of building highly automated machine learning solutions for the cloud. Experience with building machine learning models Experience with container technologies (Docker, LXD, Kubernetes, etc.) Experience with public clouds (AWS, Azure, Google Cloud) Experience in the Linux and open-source software world Working knowledge of cloud computing Passionate about software quality and testing Experience working on a distributed team on an open source project -- even if that is community open source contributions. Demonstrated track record of Open Source contributions
What we offer you
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004! Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues from your team and others Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Canonical by 2x Sign in to set job alerts for “Engineering Manager” roles.
Engineering Manager - Solutions Engineering
Software Engineering Manager - Sustaining Engineering
Technical Manager - Automotive and Industrial
Engineering Manager - Build and Release Infrastructure
Software Engineering Manager - Container and Virtualisation Infrastructure
Systems Integrations Engineering Manager
Software Engineering Manager, Ubuntu Gaming
Software Engineering Manager - Ubuntu Linux Kernel
Salesforce Engineering Manager, Commercial Systems
Linux Engineering Manager - Optimisation for Latest Hardware
Engineering Manager for IAM (Identity and Access Management)
Software Platform Engineering Manager - Ubuntu for Next-Gen Silicon
Embedded Linux Field Engineering Manager
Linux Enablement - Software Engineering Manager
Ubuntu Enablement - Software Engineering Manager
Revenue Accounting Manager - Software Industry, IFRS 15, NetSuite
Product Manager - Industrial Sector Lead
Product Manager - Hardware Certification
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Engineering Manager - MLOps & Analytics
role at
Canonical 3 days ago Be among the first 25 applicants Join to apply for the
Engineering Manager - MLOps & Analytics
role at
Canonical The role of an Engineering Manager at Canonical
As an Engineering Manager at Canonical, you must be technically strong, but your main responsibility is to run an effective team and develop the colleagues you manage. You will develop and review code as a leader, while at the same time staying aware of that the best way to improve the product is to ensure that the whole team is focused, productive and unblocked.
You are expected to help them grow as engineers, do meaningful work, do it outstandingly well, find professional and personal satisfaction, and work well with colleagues and the community. You will also be expected to be a positive influence on culture, facilitate technical delivery, and regularly reflect with your team on strategy and execution.
You will collaborate closely with other Engineering Managers, product managers, and architects, producing an engineering roadmap with ambitious and achievable goals.
We expect Engineering Managers to be fluent in the programming language, architecture, and components that their team uses, in this case popular open-source machine learning tools like Kubeflow, MLFlow, and Feast.
Code reviews and architectural leadership are part of the job. The commitment to healthy engineering practices, documentation, quality and performance optimisation is as important, as is the requirement for fair and clear management, and the obligation to ensure a high-performing team.
Location:
This is a Globally remote role.
What your day will look like
Manage a distributed team of engineers and its MLOps/Analytics portfolio Organize and lead the team's processes in order to help it achieve its objectives Conduct one-on-one meetings with team members Identify and measure team health indicators Interact with a vibrant community Review code produced by other engineers Attend conferences to represent Canonical and its MLOps solutions Mentor and grow your direct reports, helping them achieve their professional goals Work from home with global travel for 2 to 4 weeks per year for internal and external events
What we are looking for in you
A proven track record of professional experience of software delivery Professional python development experience, preferably with a track record in open source A proven understanding of the machine learning space, its challenges and opportunities to improve Experience designing and implementing MLOps solutions An exceptional academic track record from both high school and preferably university Willingness to travel up to 4 times a year for internal events
Additional skills that you might also bring
The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
Hands-on experience with machine learning libraries, or tools. Proven track record of building highly automated machine learning solutions for the cloud. Experience with building machine learning models Experience with container technologies (Docker, LXD, Kubernetes, etc.) Experience with public clouds (AWS, Azure, Google Cloud) Experience in the Linux and open-source software world Working knowledge of cloud computing Passionate about software quality and testing Experience working on a distributed team on an open source project -- even if that is community open source contributions. Demonstrated track record of Open Source contributions
What we offer you
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004! Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues from your team and others Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Canonical by 2x Sign in to set job alerts for “Engineering Manager” roles.
Engineering Manager - Solutions Engineering
Software Engineering Manager - Sustaining Engineering
Technical Manager - Automotive and Industrial
Engineering Manager - Build and Release Infrastructure
Software Engineering Manager - Container and Virtualisation Infrastructure
Systems Integrations Engineering Manager
Software Engineering Manager, Ubuntu Gaming
Software Engineering Manager - Ubuntu Linux Kernel
Salesforce Engineering Manager, Commercial Systems
Linux Engineering Manager - Optimisation for Latest Hardware
Engineering Manager for IAM (Identity and Access Management)
Software Platform Engineering Manager - Ubuntu for Next-Gen Silicon
Embedded Linux Field Engineering Manager
Linux Enablement - Software Engineering Manager
Ubuntu Enablement - Software Engineering Manager
Revenue Accounting Manager - Software Industry, IFRS 15, NetSuite
Product Manager - Industrial Sector Lead
Product Manager - Hardware Certification
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.
2
Data Science Manager
Kuwait City, Al Kuwayt
Swire Shipping
Posted 6 days ago
Job Viewed
Job Description
SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.
Responsibilities:
- Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
- Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
- Oversee the design and implementation of innovative data science projects that drive value for the organization
- Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
- Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
- Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
- Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
- Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
- Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
- Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
- Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
- Excellent project management skills and ability to prioritize tasks in a fast-paced environment
- Strong analytical and problem-solving skills with attention to detail
- Exceptional communication skills, both verbal and written, in English and Arabic
- Proven capability to drive collaboration across teams and influence senior stakeholders
- Certified Data Scientist (CDS)
- Microsoft Certified: Azure Data Scientist Associate
- Google Cloud Professional Data Engineer
This advertiser has chosen not to accept applicants from your region.
3
Data Science Manager
Kuwait City, Al Kuwayt
Swire Shipping
Posted 5 days ago
Job Viewed
Job Description
SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.
Responsibilities:
Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes Oversee the design and implementation of innovative data science projects that drive value for the organization Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
Requirements
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively Excellent project management skills and ability to prioritize tasks in a fast-paced environment Strong analytical and problem-solving skills with attention to detail Exceptional communication skills, both verbal and written, in English and Arabic Proven capability to drive collaboration across teams and influence senior stakeholders
Preferable Certificates:
Certified Data Scientist (CDS) Microsoft Certified: Azure Data Scientist Associate Google Cloud Professional Data Engineer
#J-18808-Ljbffr
Responsibilities:
Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes Oversee the design and implementation of innovative data science projects that drive value for the organization Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
Requirements
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively Excellent project management skills and ability to prioritize tasks in a fast-paced environment Strong analytical and problem-solving skills with attention to detail Exceptional communication skills, both verbal and written, in English and Arabic Proven capability to drive collaboration across teams and influence senior stakeholders
Preferable Certificates:
Certified Data Scientist (CDS) Microsoft Certified: Azure Data Scientist Associate Google Cloud Professional Data Engineer
#J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.
4
Senior Data Science Manager
Kuwait City, Al Kuwayt
Swire Shipping
Posted 5 days ago
Job Viewed
Job Description
SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.
Responsibilities:
Develop and implement the overall data science vision, strategy, and framework to align with organizational goals Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies
Requirements
Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark) Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies Proven track record of successfully leading and delivering large-scale data science projects that drive business value Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses Strong project management skills and ability to lead teams in a fast-paced environment Excellent analytical and strategic thinking skills, with a focus on results Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic
Preferable Certificates:
Certified Data Scientist (CDS) Microsoft Certified: Azure Data Scientist Associate Google Cloud Professional Data Engineer
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Responsibilities:
Develop and implement the overall data science vision, strategy, and framework to align with organizational goals Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies
Requirements
Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark) Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies Proven track record of successfully leading and delivering large-scale data science projects that drive business value Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses Strong project management skills and ability to lead teams in a fast-paced environment Excellent analytical and strategic thinking skills, with a focus on results Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic
Preferable Certificates:
Certified Data Scientist (CDS) Microsoft Certified: Azure Data Scientist Associate Google Cloud Professional Data Engineer
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5
Data Center PMO Manager
Kuwait City, Al Kuwayt
Swire Shipping
Posted 5 days ago
Job Viewed
Job Description
We’re Hiring: Data Center PMO Manager We are looking for an experienced
Data Center PMO Manager
to oversee the planning, execution, governance, and delivery of all projects . This leadership role ensures projects are completed on time, within scope, and on budget, while driving excellence in PMO processes and cross-functional collaboration. Key Responsibilities: Project Governance & Standards:
Develop and enforce project management frameworks, templates, and compliance protocols. Project Planning & Scheduling:
Define scopes, allocate resources, and integrate discipline schedules into a master program. Performance Monitoring & Risk Management:
Track progress, mitigate risks, and resolve bottlenecks proactively. Reporting & Communication:
Deliver concise progress updates to leadership and foster stakeholder alignment. Team Leadership:
Lead and mentor PMO staff to drive high performance. Contractor & Stakeholder Management:
Manage subcontractors to ensure quality, timely, and budget-compliant delivery. Qualifications: Bachelor’s degree in Project Management, Engineering, or Business Administration (Master’s preferred). PMP certification
or equivalent highly desirable. 10+ years
in project management, with
5+ years in a leadership role . Proven success in managing
large-scale data center or infrastructure projects . Expertise in scheduling, risk management, and stakeholder engagement.
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Data Center PMO Manager
to oversee the planning, execution, governance, and delivery of all projects . This leadership role ensures projects are completed on time, within scope, and on budget, while driving excellence in PMO processes and cross-functional collaboration. Key Responsibilities: Project Governance & Standards:
Develop and enforce project management frameworks, templates, and compliance protocols. Project Planning & Scheduling:
Define scopes, allocate resources, and integrate discipline schedules into a master program. Performance Monitoring & Risk Management:
Track progress, mitigate risks, and resolve bottlenecks proactively. Reporting & Communication:
Deliver concise progress updates to leadership and foster stakeholder alignment. Team Leadership:
Lead and mentor PMO staff to drive high performance. Contractor & Stakeholder Management:
Manage subcontractors to ensure quality, timely, and budget-compliant delivery. Qualifications: Bachelor’s degree in Project Management, Engineering, or Business Administration (Master’s preferred). PMP certification
or equivalent highly desirable. 10+ years
in project management, with
5+ years in a leadership role . Proven success in managing
large-scale data center or infrastructure projects . Expertise in scheduling, risk management, and stakeholder engagement.
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This advertiser has chosen not to accept applicants from your region.
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About the latest Analytics manager Jobs in Kuwait !
6
Senior Manager, Data Scientist
Kuwait City, Al Kuwayt
Ooredoo
Posted today
Job Viewed
Job Description
**The Company:
Ooredoo is an organisation on the move. Thanks to our dedicated employees, we continue to move closer towards our vision to be among the top 20 telecommunications companies in the world by 2020.
We are a dynamic global telecommunications player operating in 17 countries across the Middle East, North Africa (MENA) and Asia. We cover a population of more than half a billion people and serve more than 68 million customers.
In Kuwait, we employ approximately 1,000 talented people, all of whom are driving Ooredoo to be the number one choice for world-class communications services in Kuwait. In the face of intensifying competition, increasingly sophisticated technology and rising customer expectations, nothing is more important to our success than our team - and it's a team that you can be part of.
Ooredoo's future is bright, and you can be part of our ongoing success.
**The Role:
The role of the Data Scientist is to answer critical business questions around commercial functions, covering critical domains such as funnel optimization, customer retention, experience, business investment prioritization and opportunity identification, process automation. The Data Scientist will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. The position will Strengthen the advanced analytics capabilities by working closely with commercial Business Unit on impactful use cases and thus contributing to business strategy and roadmap.
Ensuring the delivery of top-notch projects that yield substantial business value through various Data Science models such as Recommendation Engines, propensity models, and diverse segmentation techniques will also be your responsibility.
Furthermore, you'll play a pivotal role in driving initiatives related to data monetization strategies and identifying fresh business prospects by leveraging AI and data analytics to uncover potential revenue streams.
**Key Accountabilities and Activities:
**1-** **Advanced Analytics & Data Modelling **(To All Commercial Functions)**
- Understand business requirement for Consumer Business Unit and implement data Science models to do value addition on top of existing analytics
- Full stack AI/ML based model development & Lifecycle management.
- DS Requirement analysis and Project management
- Statistical analysis and data visualization.
- Develop and deploy various AI & DS models for revenue generation, cost reduction, and operational enhancement.
- Collaborate with diverse teams to devise innovative data products for B2C and B2B markets.
- Conduct comprehensive business analysis to provide insights for strategic decision-making.
- Perform data pre-processing, feature engineering, and exploratory data analysis.
- Build ETL pipelines to transform unstructured data into suitable formats.
- Develop automated analytics solutions and APIs for data access and integration.
- Integrate with big data ecosystems and optimize SQL queries.
- Utilize tools like Airflow/ MLFlow for automated data pipelines and statistical methods for transformation.
- Working as part of shared function across organization on use cases to support product growth, cost optimization, customer engagement etc.
- Feature engineering and insights through statistical measures/algorithms/graphs/info graphics.
- Support to enhance business processes for data monetization, commercialization whilst offering valuable insights to improve customer experience across touch points.
- Presenting results of the models in a business friendly format
- Visualization of key business insights and data using advanced techniques and tools
- Continuous support to use case owner departments by optimizing the models via optimization and self-learning
- Aggressive tracking of results and utilization of leads.
- Manage the Data Science Operational Framework
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Propose solutions and strategies to business challenges using key insights from AA models.
**2-** **Use Case Formulation & Insights exploitation **(Marketing / Sales Team Specific - **B2B / B2C **)**
- Work closely with marketing team and provide segment specific recommendations and insights to improve targeting efficiencies and yield.
- Work in close coordination with CVM team and develop cross functional shared business use cases.
- Develop strategic use case models such as customer 360, LTV, Survival models, segmentations.
- Develop use cases for sales and distribution using spatial data / NW data and competition customer data.
- Harvest social data for targeted communication, customer sentiments, identifying behavioral and interest based communities digital targeting.
**3-** **Data ecosystem Development & Maintenance **(Technology)**
- Closely work with Technology BI team on matters related to Data, platforms and software.
- Identify and integrate new data sources to Big data platform.
Ooredoo is an organisation on the move. Thanks to our dedicated employees, we continue to move closer towards our vision to be among the top 20 telecommunications companies in the world by 2020.
We are a dynamic global telecommunications player operating in 17 countries across the Middle East, North Africa (MENA) and Asia. We cover a population of more than half a billion people and serve more than 68 million customers.
In Kuwait, we employ approximately 1,000 talented people, all of whom are driving Ooredoo to be the number one choice for world-class communications services in Kuwait. In the face of intensifying competition, increasingly sophisticated technology and rising customer expectations, nothing is more important to our success than our team - and it's a team that you can be part of.
Ooredoo's future is bright, and you can be part of our ongoing success.
**The Role:
The role of the Data Scientist is to answer critical business questions around commercial functions, covering critical domains such as funnel optimization, customer retention, experience, business investment prioritization and opportunity identification, process automation. The Data Scientist will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. The position will Strengthen the advanced analytics capabilities by working closely with commercial Business Unit on impactful use cases and thus contributing to business strategy and roadmap.
Ensuring the delivery of top-notch projects that yield substantial business value through various Data Science models such as Recommendation Engines, propensity models, and diverse segmentation techniques will also be your responsibility.
Furthermore, you'll play a pivotal role in driving initiatives related to data monetization strategies and identifying fresh business prospects by leveraging AI and data analytics to uncover potential revenue streams.
**Key Accountabilities and Activities:
**1-** **Advanced Analytics & Data Modelling **(To All Commercial Functions)**
- Understand business requirement for Consumer Business Unit and implement data Science models to do value addition on top of existing analytics
- Full stack AI/ML based model development & Lifecycle management.
- DS Requirement analysis and Project management
- Statistical analysis and data visualization.
- Develop and deploy various AI & DS models for revenue generation, cost reduction, and operational enhancement.
- Collaborate with diverse teams to devise innovative data products for B2C and B2B markets.
- Conduct comprehensive business analysis to provide insights for strategic decision-making.
- Perform data pre-processing, feature engineering, and exploratory data analysis.
- Build ETL pipelines to transform unstructured data into suitable formats.
- Develop automated analytics solutions and APIs for data access and integration.
- Integrate with big data ecosystems and optimize SQL queries.
- Utilize tools like Airflow/ MLFlow for automated data pipelines and statistical methods for transformation.
- Working as part of shared function across organization on use cases to support product growth, cost optimization, customer engagement etc.
- Feature engineering and insights through statistical measures/algorithms/graphs/info graphics.
- Support to enhance business processes for data monetization, commercialization whilst offering valuable insights to improve customer experience across touch points.
- Presenting results of the models in a business friendly format
- Visualization of key business insights and data using advanced techniques and tools
- Continuous support to use case owner departments by optimizing the models via optimization and self-learning
- Aggressive tracking of results and utilization of leads.
- Manage the Data Science Operational Framework
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Propose solutions and strategies to business challenges using key insights from AA models.
**2-** **Use Case Formulation & Insights exploitation **(Marketing / Sales Team Specific - **B2B / B2C **)**
- Work closely with marketing team and provide segment specific recommendations and insights to improve targeting efficiencies and yield.
- Work in close coordination with CVM team and develop cross functional shared business use cases.
- Develop strategic use case models such as customer 360, LTV, Survival models, segmentations.
- Develop use cases for sales and distribution using spatial data / NW data and competition customer data.
- Harvest social data for targeted communication, customer sentiments, identifying behavioral and interest based communities digital targeting.
**3-** **Data ecosystem Development & Maintenance **(Technology)**
- Closely work with Technology BI team on matters related to Data, platforms and software.
- Identify and integrate new data sources to Big data platform.
This advertiser has chosen not to accept applicants from your region.
7
Senior Manager – Data Center Facility Management & Operations
Kuwait City, Al Kuwayt
Swire Shipping
Posted 5 days ago
Job Viewed
Job Description
We are looking for Senior Manager – Data Center Facility Management & Operations to drive the full lifecycle of our new data center—from design and construction to commissioning, and through to mission-critical live operations. Serve as the owner's representative during the build phase, embedding operational excellence into design. Post-handover, ensure the seamless daily management of all facility systems to maintain uptime, safety, and global compliance. Core Responsibilities Lead the SPV and data center business plan, achieving alignment with corporate strategy while driving cost-efficiency and regulatory compliance. Promote operational excellence through continuous improvement initiatives and performance benchmarking. Ensure flawless daily operation of power, cooling, fire suppression, environmental controls, and security systems. Maintain 100% uptime, meet SLAs, and uphold HSE (Health, Safety & Environmental) best practices. Advocate for operational considerations during design and construction, reviewing technical specifications for maintainability and safety. Lead commissioning, acceptance testing, and handover processes against performance benchmarks. Act as a trusted liaison with clients, consultants, contractors, and internal leadership. Manage escalations proactively, validate operational reports, and drive service excellence. Oversee vendor and contractor performance, ensuring contractual compliance during upgrades, retrofits, and procurement. Optimize manpower and technical resources for cost-effective, high-quality service delivery. Implement process enhancements to boost reliability, efficiency, and sustainability. Lead risk assessments, business continuity planning, and audits, while aligning operations with international standards. Qualifications & Experience Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Facilities Management, or related field (Master’s preferred). Data center certifications such as CDCMP, CDCP, CDCS, Uptime Institute Tier Specialist, or equivalent are highly valued. 12+ years in data center operations or critical facilities management, including at least 5 years in a senior leadership capacity. Proven expertise in managing mission-critical infrastructure to meet stringent SLA targets. Strong vendor management, contract negotiation, stakeholder engagement, and financial planning skills. Deep understanding of industry standards such as ISO 27001, ASHRAE, Uptime Institute, and familiarity with preventive maintenance and TCO‑driven practices.
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8
Business Intelligence Engineer
Al Farwaniyah, Al Farwaniyah
HealthCare Dynamics Gen. Trading Company W.L.L
Posted 25 days ago
Job Viewed
Job Description
Job Duties Include But Are Not Limited To
The Business Intelligence (BI) Engineer is responsible for the end-to-end design, development, and maintenance of BI solutions, including data warehousing, integration layers, and dashboard development using enterprise BI tools. The role requires close collaboration with various departments to translate raw data into structured, meaningful insights for optimized decision-making processes. The position demands a strong technical understanding of data architecture and business intelligence frameworks.
Design, implement, and maintain the data warehouse architecture to ensure data integrity scalability and efficiency. Create and maintain data models to support reporting and analytics initiatives. Optimize ETL processes for data extraction, transformation, and loading, ensuring data integrity and accuracy. Ensure data from multiple sources is aggregated, cleansed, and stored accurately in data warehouses. Develop and maintain a variety of reports and dashboards using business intelligence tools (OBIE, Power BI). Implement and enforce data governance policies and procedures to ensure data quality and security. Use current change control standards and SDLC to successfully implement solutions. Collaborate with cross-functional teams to integrate Oracle applications with other enterprise tools and applications. Take ownership and resolve service requests within SLA timelines. Lead the planning and implementation of application and technology updates and upgrades. Ensure data integrity and security across Oracle platforms. Document technical processes and develop user guides for new applications. Develop and manage BI tools, dashboards, and reporting systems using tools such OBIE/OAC, Power BI, or other relevant platforms. Conduct data analysis to identify trends, patterns, and insights that can drive business decisions. Collaborate with business users to gather requirements and translate them into technical specifications. Optimize SQL queries, BI tools, and data pipelines to enhance performance and ensure efficient data retrieval. Document BI systems and processes to ensure transparency and facilitate maintenance and knowledge transfer.
Required Qualification
Bachelor's or Master's degree in computer science, Information Systems, Data Science or a related field. Minimum of 8 years of experience with Oracle BI applications, Power BI Experience in creating data warehouse (e.g., star schema) Experience with data modeling tools Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus Experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Google Big Query, Snowflake) is a plus. Experience with scripting languages (e.g., Python, R) is a plus. Strong communication and collaboration abilities. Strong analytical, troubleshooting, performance tuning, and debugging skills. Understanding of data governance, data quality, and security practices Experience in Waterfall and Agile Methodology
Required Professional Skills
Oracle Database: SQL, PL/SQL, Java Application Development: Reports, BI publisher, Application APIs, Oracle Forms Application Technology: Oracle Alerts, Oracle Business Events, Workflow, Web ADI, OAF, APEX is a plus. Integration Technologies: Informatica, Data Warehouse Administration Console (DAC), Oracle Data integrator (ODI) Oracle Integration Cloud (OIC), Integration SOA Gateway, Rest APIs, familiar with XML, XSLT, and JSON data formats. Cloud: Oracle Cloud Infrastructure and cloud migration strategies. Reporting and analytics with Oracle BI, Power BI
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The Business Intelligence (BI) Engineer is responsible for the end-to-end design, development, and maintenance of BI solutions, including data warehousing, integration layers, and dashboard development using enterprise BI tools. The role requires close collaboration with various departments to translate raw data into structured, meaningful insights for optimized decision-making processes. The position demands a strong technical understanding of data architecture and business intelligence frameworks.
Design, implement, and maintain the data warehouse architecture to ensure data integrity scalability and efficiency. Create and maintain data models to support reporting and analytics initiatives. Optimize ETL processes for data extraction, transformation, and loading, ensuring data integrity and accuracy. Ensure data from multiple sources is aggregated, cleansed, and stored accurately in data warehouses. Develop and maintain a variety of reports and dashboards using business intelligence tools (OBIE, Power BI). Implement and enforce data governance policies and procedures to ensure data quality and security. Use current change control standards and SDLC to successfully implement solutions. Collaborate with cross-functional teams to integrate Oracle applications with other enterprise tools and applications. Take ownership and resolve service requests within SLA timelines. Lead the planning and implementation of application and technology updates and upgrades. Ensure data integrity and security across Oracle platforms. Document technical processes and develop user guides for new applications. Develop and manage BI tools, dashboards, and reporting systems using tools such OBIE/OAC, Power BI, or other relevant platforms. Conduct data analysis to identify trends, patterns, and insights that can drive business decisions. Collaborate with business users to gather requirements and translate them into technical specifications. Optimize SQL queries, BI tools, and data pipelines to enhance performance and ensure efficient data retrieval. Document BI systems and processes to ensure transparency and facilitate maintenance and knowledge transfer.
Required Qualification
Bachelor's or Master's degree in computer science, Information Systems, Data Science or a related field. Minimum of 8 years of experience with Oracle BI applications, Power BI Experience in creating data warehouse (e.g., star schema) Experience with data modeling tools Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus Experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Google Big Query, Snowflake) is a plus. Experience with scripting languages (e.g., Python, R) is a plus. Strong communication and collaboration abilities. Strong analytical, troubleshooting, performance tuning, and debugging skills. Understanding of data governance, data quality, and security practices Experience in Waterfall and Agile Methodology
Required Professional Skills
Oracle Database: SQL, PL/SQL, Java Application Development: Reports, BI publisher, Application APIs, Oracle Forms Application Technology: Oracle Alerts, Oracle Business Events, Workflow, Web ADI, OAF, APEX is a plus. Integration Technologies: Informatica, Data Warehouse Administration Console (DAC), Oracle Data integrator (ODI) Oracle Integration Cloud (OIC), Integration SOA Gateway, Rest APIs, familiar with XML, XSLT, and JSON data formats. Cloud: Oracle Cloud Infrastructure and cloud migration strategies. Reporting and analytics with Oracle BI, Power BI
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9