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Role : Data Analyst

Location: McLean, VA ONLY -- Hybrid 3 days

Responsibilities: Analyze raw card transaction data to identify distinct patterns, common noise, and merchant-specific identifiers for a rotating set of eligible merchants Develop and implement complex Regex patterns and logic within internal platforms to accurately map unstructured transaction strings to specific merchant entities Leverage SQL to monitor transaction volumes and performance metrics, identifying anomalies or significant drops that suggest a shift in merchant naming conventions or logic failure Perform false-positive impact analysis to ensure high precision in mapping logic, preventing incorrect mapping while maintaining high coverage for eligible transactions Document authoritative mapping logic and pattern definitions to ensure the "why" behind each rule is transparent and maintainable by the broader team Manage the quarterly update lifecycle by proactively evaluating the impact of merchant list changes on existing rule sets and infrastructure Establish repeatable QA patterns for validating new rules against historical data sets before they are implemented in the production environment Identify and escalate data integrity gaps or inconsistencies in raw transaction feeds that could lead to downstream errors Conduct root-cause analysis on missing or "dropped" transactions by querying raw data to refine and adjust existing rules in response to evolving merchant telemetry

Mode of Interview: 1 hr -- 1 round

Timeline (review, interview, start) : ASAP-- Slight delay expected (hiring manager currently on vacation)

What are the top 3-5 skills?

Primary Tools:

• SQL (most critical)
• Regex (core to role)
• Snowflake (data warehouse)
• Google Workspace (Sheets, Docs, Drive advanced)

Internal Tool: I2 (for rule writing / mapping)