Hello,

Greetings of the day ,

We are hiring for Senior Data Analyst .

Location : Pune

Notice Period : Immediate Joiners only

Exp : 7-10 Yrs

What You Will Do:

- Identify dormant and obsolete data. Find functional areas that have been inactive for extended periods five years or more and map the dependent data tied to them, so we know exactly what can be safely archived or removed.
- Understand our product data. Study the data that powers our product — across primary and related data sets — and build a clear picture of its structure, relationships, and dependencies.
- Tell us where we stand. Assess data quality against the dimensions that matter to us — accuracy, completeness, consistency, uniqueness, validity, and integrity — and give us an honest, evidence-based view of the current state.
- Find the root cause, not just the symptom. Explain why quality issues recur, so we can fix the source, not just the surface.
- Define what "good" looks like. Help the product team establish data quality standards and success measures we can hold ourselves to.
- Recommend the right improvements. For each issue, prescribe the appropriate remedy — archival or removal of obsolete data, normalization / restructuring, de-duplication, standardization, correction, or enrichment — with clear rationale, business impact, and priority.
- Protect what depends on the data. Map how our data relates across tables and systems so that any archival, removal, or improvement preserves integrity and doesn't disrupt downstream product behavior or reporting.
- Show the improvement.



Define quality metrics and demonstrate measurable before-and-after improvement.
- Help us sustain quality. Recommend the rules, validations, and standards that keep quality from degrading again after the engagement ends.
- Leave us self-sufficient. Document findings, decisions, and improvement logic so the product team can carry the work forward.

What You Will Need: 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 secure archival / removal approaches.
- Exceptional attention to detail, with the discipline to spot subtle data inconsistencies, trace dependencies carefully, and validate findings before recommending changes.
- Strong 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.

If interested , Kindly share your updated CV at [email protected]

Best Regards

Vishal Khatri

Human Resource

📌 Senior Data Analyst (Pune)
🏢 JSM Consulting
📍 Pune