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Senior Analyst, Analytics Engineer

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Harbourvest Partners (U.K.) Limited
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 77000 USD Yearly USD 77000.00 YEAR
Job Description & How to Apply Below
Senior Analyst, Analytics Engineer page is loaded## Senior Analyst, Analytics Engineer locations:
Boston time type:
Full time posted on:
Posted 4 Days Agojob requisition :
R2097
** Job Description Summary
** For over forty years, Harbour Vest 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  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.

Harbour Vest 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.##
** What You Will Do
*** 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.##
** Time Allocation**
* ** Application & Solution Development:** ~50% (Building data assets in code-based and BI environments)
* ** Data Modeling & Pipeline

Collaboration:

** ~30% (Crafting datasets and working with the data engineering team.)
* ** Maintenance & Quality Assurance:** ~20% (Validating data, testing, and maintaining production content)##
** What You Bring
*** 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.##
** Education
* ** Bachelor’s degree in a STEM field or equivalent experience preferred.
* A Master’s degree is beneficial but not required; relevant experience will be considered.##
** Experience
* ** Proven ability in analytics engineering, BI development, or data pipeline design.
* Prior experience in financial services or working with investment data is a plus.#LIHybrid
** Salary Range**$77,000.00 - $This USD base salary range represents only one component of…
Position Requirements
10+ Years work experience
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