The Role
Working within an Agile environment, you will bridge the gap between technical teams and business stakeholders. You will be responsible for:
- Data Quality: Automating DQ checks and creating reports to identify root causes of data issues.
- Governance: Maintaining data dictionaries, business glossaries, and end-to-end data lineage.
- Collaboration: Partnering with Data Engineers and Product Managers to improve data products and ensure regulatory compliance.
- Analysis: Profiling complex datasets to quantify the business impact of data failures.
Requirements
- Technical Skills: Proficient in SQL and Python for data analysis and profiling.
- Visualization: Experience with Tableau or PowerBI.
- Governance Expertise: 1-3 years of experience in Data Governance, MDM, or lifecycle management.
- Concepts: Strong understanding of Data Warehouse vs. Data Lake architectures and ETL workflows.
- Communication: Ability to translate technical data issues into actionable business insights for senior stakeholders.