Sr Data Analyst
Spectraforce Technologies Inc
Position Title: Sr Data Analyst
Work Location: Mclean, VA - Hybrid (3 Days Onsite in every week)
Assignment Duration: 19 months Job Description:
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 Required Qualifications:
Education: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
Experience: 2+ years of experience in data analysis, data engineering, or a related field - not including any internships
Technical Skills: Proficiency in SQL and Regex
Tools: Proficiency in Google Workspace (advanced Sheets, Drive, Docs)
Ownership: Demonstrated ability to take independent initiative and drive tasks to completion with minimal supervision
Communication: Proven ability to establish and maintain clear communication channels with diverse stakeholders
Stakeholder Management: Demonstrated ability to build relationships to effectively validate metrics and manage ongoing data needs
Strategic Thinking: Ability to bridge data findings with program strategy to drive desired outcomes
Work Location: Mclean, VA - Hybrid (3 Days Onsite in every week)
Assignment Duration: 19 months Job Description:
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 Required Qualifications:
Education: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
Experience: 2+ years of experience in data analysis, data engineering, or a related field - not including any internships
Technical Skills: Proficiency in SQL and Regex
Tools: Proficiency in Google Workspace (advanced Sheets, Drive, Docs)
Ownership: Demonstrated ability to take independent initiative and drive tasks to completion with minimal supervision
Communication: Proven ability to establish and maintain clear communication channels with diverse stakeholders
Stakeholder Management: Demonstrated ability to build relationships to effectively validate metrics and manage ongoing data needs
Strategic Thinking: Ability to bridge data findings with program strategy to drive desired outcomes
Vacancy posted a month ago
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