About the role
Design, build, and maintain data warehouses and reporting solutions while collaborating with stakeholders to gather requirements. Implement AI/ML algorithms to automate ETL workflows, perform trend forecasting, and enhance data classification within the BI layer.
What they look for
Requirements
Requires a Bachelor's or Master's degree in Computer Science or Engineering with at least 3 years of relevant experience. Candidates must have solid expertise in the Microsoft SQL Server BI stack and experience with data modeling and dashboard development.
Full description
- Design, build and support Data Warehouses and
Reporting solutions
- Work closely with business stakeholders to gather
requirements for reports and dashboards
- Develop automated anomaly detection, trend
forecasting, and scenario modelling solutions using ML algorithms embedded within the BI reporting layer
- Use AI/ML to automate and optimize ETL workflows,
data quality validation, and data classification at scale
- Evaluate and adopt Microsoft Fabric, Azure Synapse
Analytics, and AI-driven data platform capabilities to modernize the data estate
- Champion AI literacy within the BI team and act as
a subject matter expert for AI-enhanced analytics adoption across business units
Requirements
- B.Sc. / M.Sc. in Computer Science/Engineering
- 3+ years of related experience
- Experience in full life cycle of Business
Intelligence Solutions implementations
- Solid Experience with Microsoft SQL Server
Business Intelligence Stack (Analysis / Reporting / Integration Services)
- Experience with Azure is
preferred.
- Experience in gathering reporting requirements and
documenting the reports specifications
- Knowledge of ETL Tools for creating Source/ Target
definitions and building Mappings
- Experience in building data warehouses and OLAP
cubes
- Experience in defining facts, Key Performance
Indicators (KPIs), measures, dimensions and hierarchies
- Experience in designing customized interactive
dashboards using drill down, guided navigation, prompts, filters, and variables using a familiar tool such as Microsoft Power BI or Tableau or QlikView
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