Responsibilities
- Conducts in-depth data analysis using techniques such as sampling, statistical modeling, data profiling, and performance metric evaluation
- Evaluates data quality, traces data lineage, and analyzes how business units use critical enterprise and master data; advises leadership and analysts on resolving data issues and selecting optimal data sources
- Promotes collaboration across departments to treat data as a strategic resource, supporting self-service analytics, advanced modeling, performance tracking, and digital initiatives
- Guarantees that technical metadata and business terminology comply with data protection, privacy, and quality requirements
- Manages setup and administrative functions for the enterprise data catalog, business glossary, and corporate performance management systems
- Works with agile teams including data architects, engineers, analysts, BI developers, and scrum masters to deliver data solutions
- Refines or creates business logic for classification, forecasting, simulation, optimization, and summarization to meet analytical demands
- Evaluates data source reliability, establishes data cleansing methods to meet quality benchmarks, and proposes data quality standards
