Senior Data Analyst (Banking/Financial)

About the role

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.

Tasks

• 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

Requirements

• Need banking/Finance background.
• Strong SQL skills and hands-on experience with at least one scripting/analysis language (Python or R)
• Bachelor's degree in a quantitative field (statistics, computer science, engineering, mathematics, or related); equivalent practical experience considered

Schedule

• 12+ Months + Contract to Hire Role (CTH)

Location

• Dallas, TX
• Tampa, FL
• Onsite Role