Associate, Analytics Engineering

About HarbourVest Partners

For over four decades, HarbourVest has cultivated a dynamic team driven by entrepreneurial spirit and a passion for impactful client solutions. As the firm continues to expand globally, it embraces a culture that values openness, collaboration, diversity, and innovative thinking. Employees thrive in an energetic, low-turnover work environment that fosters personal growth and skill enhancement. The company is dedicated to an inclusive workplace promoting mutual respect and values differences as a strength.

Role Overview

Join HarbourVest as an Associate specializing in Analytics Engineering, focused on scaling Data Science and AI capabilities across the APAC region. This role emphasizes transforming prototypes and analytical concepts into production-ready, enterprise-compliant solutions. You will collaborate closely with the APAC Data Science Team and stakeholders, balancing foundational engineering skills with pragmatic analytics delivery approaches.

Responsibilities

• Convert Data Science and AI prototypes into robust, maintainable applications and services, deploying Python analytics solutions with containerization or cloud technologies.
• Support and empower business users and citizen developers by offering technical guidance, templates, and clear pathways from prototype to final product.
• Coordinate with global Data Science and engineering teams to implement clean architecture, version control, testing, and deployment standards.
• Develop and update comprehensive user documentation, runbooks, and knowledge bases to facilitate ongoing support and continuity.
• Collaborate with Data Science colleagues to minimize operational overhead and amplify advanced analytics and AI benefits.
• Provide analytics engineering and deployment support aligned with APAC time zones, including operational handoffs.
• Modernize legacy analytics solutions, migrating them to scalable, Python-based, Snowflake integrated, and governed platforms.
• Maintain and enhance existing analytics assets such as Power BI dashboards and recurrent analytical processes.
• Perform additional tasks as needed to support analytics and AI initiatives.

Qualifications & Skills

• 2 to 5 years of practical experience in analytics engineering, software or data engineering, or AI-related technical roles.
• Proficiency in Python development focused on data applications.
• Experience with analytics platforms like Power BI, Snowflake, or similar data ecosystems.
• Knowledge of cloud deployment strategies, DevOps methodologies, version control systems (e.g., Git), and continuous integration/deployment pipelines is highly desirable.
• Strong analytical and problem-solving skills paired with a methodical, organized work approach emphasizing documentation and quality.
• Excellent communication skills capable of bridging technical and non-technical discussions.
• Commitment to fostering an inclusive and collaborative work environment.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related fields, or equivalent practical experience.

Work Model

This position follows a hybrid schedule requiring four days onsite weekly, with an additional five remote days per quarter available upon manager approval.

Equal Opportunity Statement

HarbourVest is an equal opportunity employer dedicated to cultivating a respectful and diverse workplace.