Data Impact Analyst

Descriptive Summary TrueBridge 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 GitHub Action workflows and contributing to web application development. About TrueBridgeTrueBridge 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. TrueBridge 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. TrueBridge is a cohesive team of experienced professionals with an entrepreneurial spirit and collaborative culture. Key ResponsibilitiesSQL & Data Pipeline Development 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 viewsdbt Modeling & Transformation 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 Web Application Development & Maintenance 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 reliabilityCI/CD & Infrastructure Maintain and improve GitHub Actions workflows for automated testing, Docker image builds, and deployment to Snowpark Container Services Data Quality & Operations 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 Required Qualifications1–5 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 PythonStrong 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 GitHub-based workflows: branching, pull requests, code review, and CI/CD via GitHub Actions