Education & Experience

- Graduate with Min of 9 years of experience as Data Quality Analyst

Knowledge, Skills & Abilities

- Proven track record improving data quality for a product, platform, or enterprise system.
- Experience identifying obsolete, dormant, or redundant data and defining safe archival / removal approaches.
- Exceptional attention to detail, with the discipline to spot subtle data inconsistencies, trace dependencies carefully, and validate findings before recommending changes.
- Robust grasp of data quality dimensions and the ability to translate them into terms the product team and business stakeholders understand.
- Solid understanding of how data is structured and related — normalization principles and dependency mapping across primary and related data sets.
- Sound judgement on which remedy fits which problem, balancing effort against business value.




- Ability to profile and analyze data independently and turn findings into clear, prioritized recommendations.
- A consultative, product-minded approach — comfortable advising stakeholders, framing trade-offs, and driving decisions.
- Ability to work independently and ramp up quickly with minimal supervision

Good to Have

- Working knowledge of IBM Maximo (asset / EAM data) or PTC Windchill (PLM data).
- Familiarity with the marine, maritime, or classification-society domain.
- Experience with master data management (MDM), data governance, or data quality frameworks.

Location: Pune

Work Model: Hybrid (2 days WFH and 3 days WFO)

If interested, kindly share your resume on

📌 Senior Data Quality Analyst (India)
🏢 veonit
📍 India