Description

Role Summary:

We're hiring a Senior Data Analyst who does more than report on the data that already exists. Our clients and internal teams regularly hit a wall where the data needed to answer a real business question is incomplete, siloed, or simply not being captured yet. This role exists to close that gap: spotting where data is missing or unreliable, working with source system owners and data engineering to get it captured or corrected, and then turning it into analysis that actually drives a decision. You will operate as much as a data detective and problem-solver as a traditional analyst — comfortable saying "here's what the data can't tell us yet, and here's how we get there."

Key Responsibilities:

• Partner with business stakeholders to define the questions that matter, then assess whether current data can actually answer them
• Identify gaps between the data that's available and the data that's needed — in coverage, granularity, quality, or timeliness — and document the specific impact of each gap
• Drive the plan to close those gaps: working with data engineering, IT, and business-side data owners to source, capture, or correct the missing data
• Design and build analyses, dashboards, and reports that turn raw and newly-sourced data into clear, decision-ready insight
• Validate data quality and lineage before analysis ships, and flag where conclusions should be caveated
• Translate findings for non-technical stakeholders and leadership, with a clear narrative of what the data shows and what it still can't
• Establish repeatable processes and documentation so data gaps are caught earlier next time, not just patched after the fact
• Mentor junior analysts on both technical analysis and the discipline of questioning data completeness

Required Qualifications:

• 10+ years of experience in data analysis, business intelligence, or analytics, including direct client-facing or cross-functional stakeholder work
• Proven track record of identifying data gaps and driving cross-team efforts to resolve them, not just working with whatever data is handed over
• Strong SQL skills and hands-on experience with at least one scripting/analysis language (Python or R)
• Experience building dashboards and reports in a modern BI tool (Tableau, Power BI, or similar)
• Solid grounding in data modeling, data quality assessment, and data lineage concepts
• Demonstrated ability to communicate technical findings to non-technical business and executive audiences
• Bachelor's degree in a quantitative field (statistics, computer science, engineering, mathematics, or related); equivalent practical experience considered

Preferred Qualifications:

• Experience in IT services or consulting, where data sits across multiple client systems and ownership boundaries
• Domain exposure to BFSI & Regulated Data
• Familiarity with cloud data platforms (Snowflake, Azure, AWS, or GCP) and modern ELT/ETL tooling
• Exposure to AI/ML-assisted analytics or working alongside data science teams
• Experience standing up data governance or data quality frameworks from scratch
• Advanced degree (MS/MBA) in a related field

Skills

Experience building dashboards and reports in a modern BI tool (Tableau, Power BI, or similar)
 

Key Skills

Education

Any Graduate