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Senior Data Analyst

Job in McLean, Fairfax County, Virginia, USA
Listing for: EPITEC
Full Time position
Listed on 2026-05-09
Job specializations:
  • IT/Tech
    Data Analyst, Data Mining
Salary/Wage Range or Industry Benchmark: 55 - 65 USD Hourly USD 55.00 65.00 HOUR
Job Description & How to Apply Below

Job Title

Senior Data Analyst

Location

McLean, VA
Local candidates only – no relocation

Schedule

Onsite

Type

W2 Contract Only
Long-term contract (~19 months, possible direct opportunities)

Pay Rate

$55–65/Hr W2

Summary

We are seeking a Senior Data Analyst to support advanced transaction data analysis and merchant attribution efforts. This role focuses on analyzing large volumes of raw card transaction data, developing complex pattern-matching logic, and ensuring high-precision merchant mapping through data-driven rule creation and validation. The ideal candidate is highly analytical, detail-oriented, and experienced in SQL-based analysis and unstructured data parsing.

Key Responsibilities
  • Analyze raw card transaction data to identify transaction patterns, noise, and merchant-specific identifiers across eligible merchants
  • Develop and maintain complex Regex patterns and rule-based logic to accurately map unstructured transaction strings to merchant entities
  • Use SQL to monitor transaction volumes and performance metrics, identifying anomalies that indicate changes in merchant naming conventions or logic failures
  • Perform false-positive impact analysis to ensure mapping logic maintains high precision while preserving transaction coverage
  • Document authoritative mapping rules and pattern logic to ensure transparency, maintainability, and team-wide understanding
  • Manage quarterly update cycles by analyzing the impact of merchant list changes on existing logic and infrastructure
  • Establish and execute repeatable QA validation processes using historical datasets prior to production deployment
  • Identify and elevate data integrity issues or inconsistencies in raw transaction feeds that could drive downstream errors
  • Conduct root-cause analysis on missing or dropped transactions by querying raw data and refining existing logic as merchant behavior evolves
Required Qualifications
  • Strong experience analyzing large, unstructured datasets
  • Advanced SQL skills for data querying, validation, and anomaly detection
  • Hands‑on experience writing and maintaining complex Regex logic
  • Proven ability to perform detailed data quality analysis and root‑cause investigation
  • Strong documentation skills to clearly explain logic, decisions, and outcomes
  • Ability to manage multiple work streams and iterative rule updates in a production environment
Preferred Qualifications
  • Experience working with financial or card transaction data
  • Background in merchant data attribution or transaction normalization
  • Familiarity with QA validation methodologies for large-scale data environments
  • Experience supporting long-term, rule-based data platforms in an enterprise setting
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Position Requirements
10+ Years work experience
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