Business Data Analyst

SofvyrCharlotte, NC
3d

About The Position

Client is seeking a highly motivated Data Analyst with strong SQL skills and a proven work ethic to support Market Counterparty Risk Management initiatives. This role is ideal for someone who can rationalize complex scenarios, work deeply with source and action data, and bridge the gap between technical execution and business decision-making. The ideal candidate is analytical, detail-oriented, and comfortable operating in environments where data accuracy, auditability, and efficiency is critical. Candidate will work closely with risk, technology, and leadership teams to deliver insights that directly support business and regulatory objectives.

Requirements

  • Strong proficiency in SQL
  • Experience working with large, complex datasets
  • Demonstrated ability to rationalize scenarios and make data-driven decisions
  • Understanding of audit logs, data lineage, and control frameworks
  • Strong communication and presentation skills, with the ability to engage senior leadership
  • High level of accountability, ownership, and work ethic
  • Ability to think like a developer, while understanding and supporting business use cases

Nice To Haves

  • Experience in Capital Markets or Market Risk / Counterparty Risk
  • Familiarity with Tableau and/or Power BI
  • Background in financial services or regulated environments

Responsibilities

  • Analyze and interpret source and action data to support counterparty risk assessments
  • Develop, optimize, and maintain SQL queries for data extraction, transformation, and analysis
  • Review and enhance audit log–related code, improving efficiency, performance, and traceability
  • Identify data gaps, inconsistencies, and process inefficiencies; propose actionable solutions
  • Translate complex analytical findings into clear, concise insights for senior leadership
  • Support scenario analysis and rationalization for risk-related use cases
  • Collaborate with developers and business stakeholders to ensure analytical solutions align with real-world business needs
  • Document logic, assumptions, and methodologies to support audit and governance requirements
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