Data Quality Advisor

The Data Quality Advisor ensures data accuracy, completeness, reliability, and relevance across systems. This role involves managing enhancement requests, defining DQ rule definitions, and maintaining relationships with internal customers.

Job will be based at Bangalore , Whitefield office ( WFO) for 5 days in a week.

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What you will do

- Manage the CDO s (Customer Data office) Enterprise Data Quality enhancement requests, translating business requirements into technical ones for EMIT and tracking them in the ADO board.

- Define DQ rule definitions in alignment with Business and Data Stewards, including scope and DQ rule logic.

- Implementing new DQ rules in Collibra DQ tool

- Maintain relationships with internal customers requiring Data Quality report services.

- Establish and maintain adequate Data Quality (DQ) monitoring via data quality dashboards for enterprise data assets within the data foundation.

- Support the DQ Product Manager with DQ strategy building.

- Implement data quality tools and processes, and participate in data integration and migration projects.

- Create and maintain dashboards and scoreboards.

- Collaborate with business stakeholders to understand data requirements, usage, and criticality to business outcomes.

- Identify, analyze, and document data quality issues, including inconsistencies, duplications, inaccuracies, and incomplete data.

- Facilitate the resolution of data quality issues by coordinating with Data Stewardship teams.

- Execute queries promptly following successful data extracts.

- Assist Lead Data Steward Data Governance Coordinator to plan, coordinate, and conduct data cleansing activities.

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About You

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Required Skills and Qualifications:

- Min 4 years work experience data quality related fields, analytics, quality modeling

- Proficiency in SQL.

- Excellent analytical and problem-solving skills.

- Experience with data quality tools.

- Experience with data visualization tools (e.g., Tableau, Power BI).

- Experience with self-serve ETL tools (e.g., Alteryx).

- Familiarity with SAP ECC S/4 modules (FI, CO, SD, MM, etc.) and business processes (OtC, PtP, SC, Financials, PtA, etc.).

- Understanding of applications integration, Basis, security, and relational databases.

- Strong communication and interpersonal skills.

- Knowledge of data privacy and compliance regulations.

- Business process acumen.

- Applied knowledge of Business Intelligence technologies (HANA 2.0, BOBI, Tableau, Power BI, Azure, MSBI, BODS, BO IS, ABAP, SDA, SDI, SLT, and SQL)

- B.S. in Computer Science, Information Technology, Software Engineering, Data Science, Mathematics or Statistics

- Relevant certifications (e.g., Certified Data Management Professional, Six Sigma).

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Behavioral Skills

Analytical, Communicates Effectively, Adapts, Applies Learning,Collaborates, Innovates

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