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Ness Digital Engineering Logo

Business Analyst/Data Analyst

Ness Digital Engineering

Salary not specified
Oct 17, 2025
Remote, US
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The company is seeking a Business Analyst / Data Analyst to bridge the gap between business stakeholders, domain SMEs, and the data engineering team in the Finance and Capital Markets domain.

Requirements

  • Strong experience in Finance & Capital Markets (trading, investment banking, asset management, risk & compliance).
  • Strong background in data engineering concepts (data modeling, data pipelines, metadata management).
  • Experience in data modernization projects on cloud (AWS, Azure, GCP) and modern data platforms (Snowflake, Databricks, Synapse, Redshift, etc.).
  • Hands-on with SQL, Python (for data analysis), BI tools (Power BI, Tableau, Qlik).
  • Experience in large, complex transformation programs.
  • Certifications in Finance/Capital Markets (e.g., CFA, FRM) or Cloud/Data Platforms (AWS, Azure, Snowflake, Databricks).
  • Prior consulting experience with financial services clients.

Responsibilities

  • Act as a primary liaison between business stakeholders, customer domain SMEs, and technical teams.
  • Facilitate workshops, requirement gathering sessions, and domain deep-dives with finance and capital markets teams.
  • Translate complex business needs into functional requirements, data models, and process flows.
  • Analyze and profile large volumes of structured and unstructured financial data.
  • Collaborate with Data Engineering teams on ETL/ELT pipelines, medallion architectures, data lakes, and warehouses.
  • Work closely with engineering teams on cloud-based modernization initiatives (AWS, Azure, Snowflake, Databricks, etc.).
  • Participate in solution validation, UAT, and ensure alignment with business outcomes.

Other

  • 8–12 years of total experience in Business Analysis / Data Analysis roles.
  • Minimum 5+ years in Finance and Capital Markets domain (trading, investment banking, asset management, risk & compliance).
  • Minimum 4+ years of experience in Data Engineering / Data Modernization initiatives with modern cloud-based data platforms.
  • Bachelor’s or Master’s degree in Finance, Business, Data Analytics, or related field.
  • Strong communication, problem-solving, and executive presentation skills.