Data Impact Analyst
TrueBridge Capital Partners
Job Description
Descriptive Summary
\nTrueBridge 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.
\n \nAbout TrueBridge
\nTrueBridge 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.
\n \nKey Responsibilities
\nSQL & Data Pipeline Development
\n- \n
- Maintain and extend the layered SQL architecture in Snowflake \n
- Write and optimize SQL for staging tables that handle amount cleaning, entity enrichment, and graph resolution \n
- Build and maintain analytics views \n
dbt Modeling & Transformation
\n- \n
- Develop and maintain dbt models organized across staging, intermediate, and marts layers \n
- Manage dbt seeds and snapshots for tracking historical changes to reference data \n
- Write dbt tests and documentation to ensure data quality and discoverability \n
- Configure and maintain dbt profiles for Snowflake connectivity, including schema routing \n
Web Application Development & Maintenance
\n- \n
- Frontend/ Backend: Contribute to web app development \n
- Implement client-side aggregation logic including IRR calculations, commitment/unfunded computations, and as-of-date filtering across cached data arrays \n
- Write and maintain frontend and backend tests to ensure reliability \n
CI/CD & Infrastructure
\n- \n
- Maintain and improve GitHub Actions workflows for automated testing, Docker image builds, and deployment to Snowpark Container Services \n
Data Quality & Operations
\n- \n
- Monitor data pipeline health, investigate discrepancies in fund performance metrics, and troubleshoot issues across the SQL/dbt/app stack \n
- Support incident response procedures, service rollbacks, and audit log review \n
Required Qualifications
\n- \n
- 1–5 years of professional experience in data analytics, analytics engineering, data engineering, or a related technical role \n
- Understanding of relational data modeling concepts, particularly around hierarchical/graph structures \n
- Strong attention to detail and ability to trace data lineage across layered architectures \n
- Proficiency in Python \n
- Strong SQL skills with experience writing complex queries involving multi-table joins, window functions, CTEs, and conditional aggregation \n
- Familiarity with Docker for building and deploying containerized applications \n
- Experience with Git and GitHub-based workflows: branching, pull requests, code review, and CI/CD via GitHub Actions \n
Preferred Qualifications
\n- \n
- Experience with dbt core, or similar transformation tools for managing SQL transformation pipelines, including models, seeds, snapshots, and tests \n
- Experience with Snowpark Container Services or AWS EKs/similar cloud hosting platforms \n
- Familiarity with Snowflake-specific features: Snowpark Container Services, secure views, result caching, OAuth authentication, and role-based access control \n
- Working knowledge of JavaScript/React. Comfort with JSX, React hooks, and basic D3 visualization \n
- Knowledge of financial metrics and calculations: NAV, IRR, TVPI, DPI, capital contributions, distributions, and unfunded commitments \n
- Familiarity with Vite as a frontend build tool \n
Education, Experience and Attributes
\n- \n
- Bachelor’s degree \n
- Experience building or maintaining internal tools and dashboards for business stakeholders \n
- Ability to self-direct and juggle multiple competing tasks and demands \n
- Excellent verbal and written communications skills \n
- Adapts to frequent change with a proactive, professional and assertive attitude \n
- Experience in the financial services or investment management industry, particularly venture capital, private equity, or fund-of-funds \n
$32 - $52 per hour
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