Description
Role Overview Develop, maintain, and operate business-focused data marts and automated data pipelines that support management reporting, customer analytics, marketing campaigns, and self-service analytics. Work closely with business stakeholders, Data Engineers, Data Analysts, and Data Scientists to translate business requirements into accurate, consistent, and reusable data solutions. Job
Responsibilities
Work closely with business stakeholders to understand objectives, define KPIs, clarify business rules, and translate requirements into data models, transformation logic, and acceptance criteria. Design, develop, and maintain data marts and analytical datasets covering customer profiles, transactions, loyalty programs, tenant performance, and marketing campaigns. Build and maintain automated ETL/ELT pipelines using SQL, Python, and appropriate data-processing tools, including job scheduling, dependency management, monitoring, and rerun procedures.
Establish data quality checks for completeness, accuracy, uniqueness, consistency, and freshness. Investigate discrepancies by tracing data from business reports through transformation logic to source systems. Collaborate with the Data Engineering team to resolve upstream data issues, assess source changes, and maintain consistent definitions and reliable data integration across systems.
Optimize SQL queries and data-processing workflows to improve performance, scalability, and operational reliability. Troubleshoot failed jobs and
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