Data Impact Analyst

True Bridge Capital Partners is seeking a Data Impact Analyst to fill a full-time position on its Operations Team. Reporting to the Data Impact Manager, the Data Impact Analyst is a self-motivated, multi-talented and well-rounded individual who desires to be a key part of the data team in a dynamic and fast-growing company. The ideal candidate has experience or education around writing SQL, building dbt models, maintaining Git Hub Action workflows and contributing to web application development.

True Bridge is a leading venture capital investor located in Chapel Hill, NC with $10 billion under management. The firm invests in venture funds as well as directly in high-growth private technology companies such as SpaceX, Stripe, Databricks, Slack, Instacart, and Cribl. True Bridge has a partnership with Forbes and co-produces several marquee annual venture capital rankings including the Midas List of top technology venture investors and the Next Billion-Dollar Startups, a list of the fastest-growing next-generation tech companies.

True Bridge is a cohesive team of experienced professionals with an entrepreneurial spirit and collaborative culture.

• Maintain and extend the layered SQL architecture in Snowflake
• Write and optimize SQL for staging tables that handle amount cleaning, entity enrichment, and graph resolution
• Build and maintain analytics views

• Develop and maintain dbt models organized across staging, intermediate, and marts layers
• Manage dbt seeds and snapshots for tracking historical changes to reference data
• Write dbt tests and documentation to ensure data quality and discoverability
• Configure and maintain dbt profiles for Snowflake connectivity, including schema routing

• Frontend/ Backend:
  Contribute to web app development
• Implement client-side aggregation logic including IRR calculations, commitment/unfunded computations, and as-of-date filtering across cached data arrays
• Write and maintain frontend and backend tests to ensure reliability

• Maintain and improve Git Hub Actions workflows for automated testing, Docker image builds, and deployment to Snowpark Container Services

• Monitor data pipeline health, investigate discrepancies in fund performance metrics, and troubleshoot issues across the SQL/dbt/app stack
• Support incident response procedures, service rollbacks, and audit log review

• 1–5 years of professional experience in data analytics, analytics engineering, data engineering, or a related technical role
• Understanding of relational data modeling concepts, particularly around hierarchical/graph structures
• Strong attention to detail and ability to trace data lineage across layered architectures
• Proficiency in Python
• Strong SQL skills with experience writing complex queries involving multi-table joins, window functions, CTEs, and conditional aggregation
• Familiarity with Docker for building and deploying containerized applications
• Experience with Git and Git Hub-based workflows: branching, pull requests, code review, and CI/CD via Git Hub Actions

• Experience with dbt core, or similar transformation tools for managing SQL transformation pipelines, including models, seeds, snapshots, and tests
• Experience with Snowpark Container Services or AWS EKs/similar cloud hosting platforms
• Familiarity with Snowflake-specific features:
  Snowpark Container Services, secure views, result caching, OAuth authentication, and role-based access control
• Knowledge of financial metrics and calculations: NAV, IRR, TVPI, DPI, capital contributions, distributions, and unfunded commitments
• Familiarity with Vite as a frontend build tool

• Experience building or maintaining internal tools and dashboards for business stakeholders
• Ability to self-direct and juggle multiple competing tasks and demands
• Excellent verbal and written communications skills
• Adapts to frequent change with a proactive, professional and assertive attitude
• Experience in the financial services or investment management industry, particularly venture capital, private equity, or fund-of-funds