Senior Analyst, Analytics Engineer

Harbourvest Partners•Boston, MA

4d•$77,000 - $123,000•Hybrid

About The Position

For over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking. In our collegial environment that's marked by low turnover and high energy, you'll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences. We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm. HarbourVest is an equal opportunity employer. This position will be a hybrid work arrangement. You will receive 18 remote workdays per quarter to use at your discretion, subject to manager approval. For example, you may choose to work in the office 4 days per week and take one remote day weekly (typically 13 weeks per quarter), leaving 5 additional remote days to be used as needed. This position belongs to the Analytics Engineering & Data Science team. The team applies and develops our strategic data platform to provide applications and solutions that align directly with business objectives. You will compose and build all facets of data solutions, including datasets, web applications, and dashboards, while encouraging positive relationships with business collaborators. Success in this role requires outstanding communication skills and a passion for developing solutions using an evolving toolkit. Ideal Candidate Demonstrated proficiency in building data solutions. A motivated self-learner who quickly masters new tools and technologies. Ability to translate business requirements into actionable product roadmaps. Comfortable working in cloud-based environments (e.g., Azure Synapse, Snowflake). Understands analytics development principles and applies software engineering guidelines (modularity, testing, version control) to data workflows.

Requirements

Strong proficiency in SQL and Python, with experience in modern data platforms (e.g., Snowflake, Azure).
Familiarity with cloud solutions (Azure, AWS, GCP) and their implementation in production environments.
Deep understanding of data modeling techniques (e.g., star and snowflake schemas).
Experience with data visualization tools and solution development.
Knowledge of version control systems (e.g., Git) and CI/CD workflows.
Solid grasp of REST APIs and JSON.
Bachelor's degree in a STEM field or equivalent experience preferred.
Proven ability in analytics engineering, BI development, or data pipeline design.

Nice To Haves

A Master's degree is beneficial but not required; relevant experience will be considered.
Prior experience in financial services or working with investment data is a plus.

Responsibilities

Develop data products in both code-based environments (e.g., Streamlit, Python, etc.) and traditional BI tools (e.g., Power BI, Alteryx).
Model datasets for downstream applications and analytics.
Partner with business collaborators to define requirements and build production-ready solutions.
Collaborate with data engineering teams on pipeline requirements.
Maintain and enhance existing production content.
Perform data validation, testing, and ensure observability of solutions.

Benefits

This role is eligible for a discretionary annual bonus, which is determined based on individual and overall firm performance.
In addition to salary and bonus, total compensation may include eligibility for long-term reward programs and a comprehensive total rewards package that may include retirement, health, insurance, paid time off, and wellness programs.

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