Senior Business Data Analyst

Techstra Solutions-posted 8 days ago
Full-time • Mid Level
Pittsburgh, PA
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We are seeking a Business Analyst with a strong focus on data to join our team supporting initiatives in the financial services and wealth management sector. This role is ideal for professionals with experience at large, leading institutions. The ideal candidate will bring a strong blend of business acumen, data management experience, and financial business operational knowledge, and be able to bridge the gap between business stakeholders and technical teams.

  • Collaborate with business and technology stakeholders to gather, document, and validate business and data requirements.
  • Lead and facilitate requirement workshops, stakeholder interviews, and working sessions to understand and translate business needs into clear, actionable deliverables.
  • Build and maintain data glossaries, business taxonomies, and data-related artifacts in alignment with enterprise data standards.
  • Assist in development and documentation of data dictionaries and metadata for business and technical teams.
  • Present findings, workflows, and recommendations using tools like PowerPoint and Excel in a clear and business-friendly manner.
  • Support data modeling activities (conceptual, logical, and physical) and collaborate with data architects where needed.
  • Work with compliance teams to ensure data processes align with regulatory standards such as AML/KYC, Basel III, Dodd-Frank, etc.
  • Partner with Data Governance teams to ensure adherence to data quality and lineage best practices.
  • Interpret financial/banking terms, business processes, and operational workflows to support accurate and effective data solutions.
  • 5+ years of experience as a Business Analyst, ideally in financial services, wealth management, or banking.
  • Strong experience in business and data analysis, with proven ability to drive requirement-gathering sessions independently.
  • Excellent verbal and written communication skills; able to clearly explain technical data concepts to business users and vice versa.
  • Solid understanding of financial services operations and industry regulations.
  • Experience in building and managing data glossaries, business taxonomies, and supporting data classification efforts.
  • Proficiency in Microsoft Excel (pivot tables, lookups, dashboards) and PowerPoint for building executive-level presentations.
  • 1+ year of experience with data modeling (conceptual/logical/physical).
  • Hands-on experience with Collibra or similar data governance tools.
  • Familiarity with eRwin or other data modeling tools.
  • Basic to intermediate experience with SQL.
  • Understanding of Kimball dimensional modeling.
  • Exposure to or participation in data governance initiatives.
  • Knowledge of metadata management and data lineage principles.
  • Strong interpersonal and stakeholder management skills.
  • Analytical mindset with attention to detail.
  • Able to work independently in a fast-paced, regulated environment.
  • Organized, proactive, and collaborative.
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