3 Business Intelligence jobs in Kuwait
Business Intelligence Engineer
Farwaniya
HealthCare Dynamics Gen. Trading Company W.L.L
Posted 11 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.
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.
- 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
- 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
This advertiser has chosen not to accept applicants from your region.
0
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
#J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.
1
Senior Specialist, Data Mining - Gadget Express
Kuwait City, Al Kuwayt
Talent Pal
Posted today
Job Viewed
Job Description
Job Summary
Role Purpose: Plays a senior role in the Data Mining team. Support delivery of Data mining and predictive analysis using data mining tools to support various business initiatives such as Retention, Loyalty, cross sell, up sell
Key Accountabilities & Responsibilities:
- Oversee activities related to other teams within Business Intelligence Unit.
- Support other Business Intelligence team leaders.
- Build Intelligence using data mining features and tools to support various business initiatives such as Customer Retention, Loyalty, Cross sell, Up Sell
- Support business with segmentation/clustering and target building activities with the help of data mining techniques
- Support business with targeting the right segments for Cross selling / Up Selling various offers, products and services
- Build predictive models to support various business requirements
- Build relevant data mining models including churn, cross-sell/up-sell, clustering/segmentation, value (including life time value), survival, and time series models
- Enhance and optimize existing data mining models.
- Participate in implementation of relevant projects, and tasks including prediction cycles, clustering/segmentation exercises/cycles, value and lifetime value, cross-sell/up-sell, survival, time series, and association rules related projects and activities.
- Initiate, participate and oversee the creation of analytical infrastructure and associated analysis and reporting that includes weekly and monthly variables covering many aspects of customers including demographics, usage, social network, revenue etc. Infrastructure would help answer different business questions including churn and retention and support multiple analytics and analytical activities.
- Oversee and participate in the enhancement of customer DNA to be actionable marketing database that includes data mining and non data mining vectors. DNA would enable churn, retention, loyalty, segmentation, and cross-sell and up-sell efforts in a segmented and targeted manner.
- Segment prepaid and post-paid customer bases by using new analytical infrastructure and data mining to generate a segmentation that would provide better insight and enhanced understanding of our customers.
- Manage the process of Data Mining standards.
- Support provision of daily, weekly, monthly and ad-hoc reports from the Data Warehouse.
- Ensure that MIS/Data Mining reports and queries are delivered within the Service Level Agreements set.
- Ensure the availability of desktop reporting, query facilities, support and training to end users.
- Research relevant new tools, technologies, methodologies, best practices, and ideas from different sources.
- Meet quality and performance KPI with supporting documents.
- Ensure that upper management is informed on all critical issues pertaining to the area responsible for.
- Provide reports, make standard reports and tailor make them where necessary.
- Proactively take responsibility for self improvement by staying well-informed of developments, knowledge and innovations in relevant field of expertise.
- Other duties as directed by supervisor or other superiors.
Qualifications/Requirements:
- 3-4 years required years of experience based on progression ladder, relevant IT/Data Warehouse analysis experience
- Strong Knowledge of the Telecom industry
- Strong knowledge of data warehousing, relational databases, SQL, and reporting tools, data mining techniques, practices, and methodologies
- Very good knowledge of different business areas and concepts including marketing, sales, finance, strategy, B2C, B2B, and CRM
- Ability to translate users requirements into MIS solutions
- Ability to operate in a diverse multicultural, multinational work environment, exhibiting appropriate sensitivities
- Excellent command of both written and verbal English, Arabic would be an advantage
- Bachelor degree in Business or related discipline and appropriate registration with a recognised professional institute
- Strong Analytical skills
- Strong Project Management skills
- Strong Technical skills
- Management skills
- Strong interpersonal communication skills
This job has been sourced from an external job board.
Role Purpose: Plays a senior role in the Data Mining team. Support delivery of Data mining and predictive analysis using data mining tools to support various business initiatives such as Retention, Loyalty, cross sell, up sell
Key Accountabilities & Responsibilities:
- Oversee activities related to other teams within Business Intelligence Unit.
- Support other Business Intelligence team leaders.
- Build Intelligence using data mining features and tools to support various business initiatives such as Customer Retention, Loyalty, Cross sell, Up Sell
- Support business with segmentation/clustering and target building activities with the help of data mining techniques
- Support business with targeting the right segments for Cross selling / Up Selling various offers, products and services
- Build predictive models to support various business requirements
- Build relevant data mining models including churn, cross-sell/up-sell, clustering/segmentation, value (including life time value), survival, and time series models
- Enhance and optimize existing data mining models.
- Participate in implementation of relevant projects, and tasks including prediction cycles, clustering/segmentation exercises/cycles, value and lifetime value, cross-sell/up-sell, survival, time series, and association rules related projects and activities.
- Initiate, participate and oversee the creation of analytical infrastructure and associated analysis and reporting that includes weekly and monthly variables covering many aspects of customers including demographics, usage, social network, revenue etc. Infrastructure would help answer different business questions including churn and retention and support multiple analytics and analytical activities.
- Oversee and participate in the enhancement of customer DNA to be actionable marketing database that includes data mining and non data mining vectors. DNA would enable churn, retention, loyalty, segmentation, and cross-sell and up-sell efforts in a segmented and targeted manner.
- Segment prepaid and post-paid customer bases by using new analytical infrastructure and data mining to generate a segmentation that would provide better insight and enhanced understanding of our customers.
- Manage the process of Data Mining standards.
- Support provision of daily, weekly, monthly and ad-hoc reports from the Data Warehouse.
- Ensure that MIS/Data Mining reports and queries are delivered within the Service Level Agreements set.
- Ensure the availability of desktop reporting, query facilities, support and training to end users.
- Research relevant new tools, technologies, methodologies, best practices, and ideas from different sources.
- Meet quality and performance KPI with supporting documents.
- Ensure that upper management is informed on all critical issues pertaining to the area responsible for.
- Provide reports, make standard reports and tailor make them where necessary.
- Proactively take responsibility for self improvement by staying well-informed of developments, knowledge and innovations in relevant field of expertise.
- Other duties as directed by supervisor or other superiors.
Qualifications/Requirements:
- 3-4 years required years of experience based on progression ladder, relevant IT/Data Warehouse analysis experience
- Strong Knowledge of the Telecom industry
- Strong knowledge of data warehousing, relational databases, SQL, and reporting tools, data mining techniques, practices, and methodologies
- Very good knowledge of different business areas and concepts including marketing, sales, finance, strategy, B2C, B2B, and CRM
- Ability to translate users requirements into MIS solutions
- Ability to operate in a diverse multicultural, multinational work environment, exhibiting appropriate sensitivities
- Excellent command of both written and verbal English, Arabic would be an advantage
- Bachelor degree in Business or related discipline and appropriate registration with a recognised professional institute
- Strong Analytical skills
- Strong Project Management skills
- Strong Technical skills
- Management skills
- Strong interpersonal communication skills
This job has been sourced from an external job board.
This advertiser has chosen not to accept applicants from your region.
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