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Senior Data Analytics Professional
2 months ago
We are seeking a highly skilled Data Warehouse Manager to join our team at E-Merge, a leading consultancy specializing in data analytics and AI solutions. As a key member of our team, you will be responsible for enabling future needs for advanced analytics and AI, developing, testing, deploying, maintaining, and supporting new databases, reporting, data warehouse, and business intelligence applications.
Key Responsibilities- Business Intelligence Solutions: Develop, implement, and document Business Intelligence Solutions that meet the needs of our clients.
- Data Warehouse Architecture: Contribute to the overall data warehouse architecture and database designs, ensuring scalability and efficiency.
- Data Warehouse Administration: Maintain and oversee the administration and maintenance of the data warehouse, ensuring data quality and integrity.
- Business Intelligence and Reporting: Develop and maintain Business Intelligence and reporting technologies and processes, including dashboards and reports.
- Requirements Gathering: Translate stakeholder requirements into technical specifications for Business Intelligence (BI) reports and applications.
- Report Design and Development: Design and develop reports and dashboards based on Business Requirements Document (BRD) and customer specifications.
- Data Provision: Develop feasible technical specifications and process flows for data provision, ensuring data accuracy and timeliness.
- Data Quality Assurance: Verify and quality assure of data provided, ensuring data integrity and consistency.
- Solution Documentation: Translate business requirements into workable solutions and document solutions into technical specifications.
- Qualifications: Relevant IT and data analytics qualifications, such as B.Tech or B.Sc. (Informatics), are essential.
- Dimensional Modelling: Dimensional modelling and/or relevant Microsoft certification are advantageous.
- Management Experience: 3-5 years of management experience taking care of teams between 5-8 people.
- Technical Skills: Solid understanding of metadata constructs, clear understanding of EDW, and experience with Ralph Kimball data warehouse modelling.
- Programming Skills: Advanced knowledge of T-SQL, SSIS, SSAS, and Visual Studio.
E-Merge is a leading consultancy specializing in data analytics and AI solutions. We help enterprise clients extract business value by implementing AI solutions. Our team of dynamic experts is known for leading a world-class data analytics/warehouse capability.