HarbourVest is looking to bridge the gap between raw data ingestion and analytics-ready assets that power AI, data science and business intelligence (BI) tools as part of their data transformation journey
Requirements
- Strong SQL/Python and data modeling skills, with experience building modular, analytics-focused data workflows that support downstream consumption, reuse and alignment with business logic
- Hands-on experience with BI tools (e.g., Power BI) and understands how to translate business needs into data models and visualizations
- Comfortable working in cloud-based environments (e.g., Azure Synapse, Snowflake)
- Deep understanding of data modeling techniques (e.g., star/snowflake schemas)
- Strong SQL/Python proficiency and experience with cloud data platforms, with exposure to emerging analytics engineering tools such as dbt, Dagster or similar modern data transformation frameworks
- Familiarity with data visualization tools and dashboard development
- Experience with version control systems (e.g., Git) and CI/CD workflows
Responsibilities
- Design and maintain analytics-ready datasets that support AI/ML experimentation, predictive modeling, and BI visualizations
- Build adaptable data pipelines using SQL/Python and cloud tools, explore AI tools for quicker analytics and fresh operational approaches
- Collaborate with Data Scientists, BI Analysts, and Data Engineers to translate business logic into reusable transformations that bridge tactical prototyping with strategic data architecture
- Implement data validation, testing, and observability to ensure trust and reliability in data delivery
- Contribute to the development of data products within the squad operating model
- Participate in technical reviews and help define standard processes for analytics engineering
- Model business logic and deliver actionable insights
Other
- Bachelor of Science (B.S) or equivalent experience in a STEM field preferred
- Possessing a Master’s degree is beneficial but not mandatory; relevant experience is also taken into account
- Proven ability in analytics engineering, BI development, or data pipeline design
- Prior experience in financial services or investment data is a plus
- Effective communication abilities with a business focus and the ability to collaborate across diverse teams
