Senior Analytics Engineer (Customer-Facing)

Crunchr•Boston, MA

2d•Hybrid

About The Position

Crunchr is seeking a Senior Analytics Engineer to join their Customer Success team. This role is crucial for integrating, consolidating, cleansing, and structuring HR data for analytical and operational uses, as well as building data pipelines. The Senior Analytics Engineer will serve as the technical partner to customers, helping them unlock the value of people analytics and optimize their big data ecosystem. This position involves working directly with clients on complex HR data challenges, acting as the technical owner for a set of customer accounts, and building trust with stakeholders. The role is based in Boston and reports to the Head of CS. Collaboration with Customer Success Managers and the Engineering department is expected.

Requirements

Master's degree in Computer Science, Data Engineering, or a related field.
5+ years of relevant experience, with a track record of senior-level technical ownership.
Hands-on Python skills and strong data engineering fundamentals.
Comfortable advising and presenting to senior stakeholders and able to translate complexity clearly.
Affinity with the HR or People Analytics domain.
Actively embrace AI as part of how you work, whether that’s using AI tools for improvements, automating repetitive tasks, or finding smarter ways to solve customer challenges.
Great fit with Crunchr's core values.
Based in or near Boston, able to work from the office at least 2 days per week.
Currently authorized to work in the United States without employer sponsorship.

Nice To Haves

Hands-on HRIS integration experience with systems like Workday or SAP SuccessFactors.
Background in SaaS or scale-up environments.
Customer-facing experience.

Responsibilities

Be the primary technical point of contact for customer accounts, owning issues end-to-end and ensuring a high quality of delivery.
Proactively identify data quality gaps of customers, enabling further analytics opportunities.
Continuously improve technical standards across code quality, pipeline architecture, and ways of working.
Set up integrations with different HRIS, including creating scripts to feed data from clients into the Crunchr solution.
Act as the senior technical voice with customers, leading data-related discussions, advising on complex problems, and building trust with stakeholders.
Actively bring AI into how the team works, finding places where it can improve speed, quality, or consistency across the team and customer base.