Senior Data Analyst

KMM Technologies•Reston, VA

About The Position

We are seeking a Senior Data Analyst to join our team. This role involves analyzing financial regulatory data, working with surveillance systems, and ensuring the accuracy and integrity of our data processing pipelines. The ideal candidate will have a strong technical background, excellent analytical skills, and the ability to communicate complex findings to both technical and business stakeholders.

Requirements

  • Bachelor's degree
  • 5+ years of experience in financial regulatory technology, surveillance systems, or capital markets data analysis
  • Proficiency in SQL for large-scale data analysis on distributed platforms
  • Proficiency in at least one scripting/programming language for data analysis, automation, and tool development
  • Experience reading and interpreting complex data processing pipelines and business logic in source code
  • Strong analytical skills with the ability to independently investigate data discrepancies and validate system outputs
  • Excellent documentation skills — ability to translate complex technical implementations into clear business-facing knowledge documents
  • Advanced proficiency in spreadsheet tools for business and operational analysis

Nice To Haves

  • Major in Business Administration, Finance, Computer Science, or related field; advanced degree preferred
  • Knowledge of SEC/FINRA regulatory rules and reporting requirements
  • Experience with distributed query engines and big data platforms
  • Experience with project management and documentation tools and their APIs
  • Familiarity with surveillance pattern architectures (exception generation, scoring, aggregation, reconciliation)
  • Experience with source code management and release branch workflows
  • Experience leveraging generative AI tools (LLMs, AI coding assistants) to accelerate data analysis, code comprehension, documentation, and automation workflows
  • Ability to design effective AI prompts and structured project contexts that produce reliable, domain-accurate outputs in a regulated environment

Responsibilities

  • Analyze large-scale datasets using SQL on distributed platforms.
  • Develop and automate data analysis processes using scripting/programming languages.
  • Interpret complex data processing pipelines and business logic within source code.
  • Investigate data discrepancies and validate system outputs.
  • Create clear, business-facing documentation from complex technical implementations.
  • Perform business and operational analysis using advanced spreadsheet tools.
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