Senior Analytics Engineer (Customer-Facing)

Crunchr•Boston, MA

1h•Hybrid

About The Position

Crunchr's Customer Success team is looking for a senior, hands-on Analytics Engineer to be the technical partner to their customers. This role involves integrating, consolidating, cleansing, and structuring HR data for analytical or operational uses, as well as building data pipelines to combine information from different source systems. The Senior Analytics Engineer will work with customers during and after implementation to ensure data accessibility and optimize their big data ecosystem. This individual will be the technical owner for a set of customer accounts, addressing complex HR data challenges and serving as a trusted technical resource. The Customer Success team consists of 10 members across the Netherlands and the US, with this role based in Boston, reporting to the Head of CS. Collaboration will occur with CSMs and the Engineering department.

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.
You are a great fit with our core values.
Based in or near Boston, able to work from our office at least 2 days per week.
Must be 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 your own customer accounts, owning issues end-to-end and ensuring a high quality of delivery.
Proactively identify data quality gaps of our customers, enabling further analytics opportunities.
Continuously improve technical standards across code quality, pipeline architecture and own ways of working.
Set up integrations with different HRIS, including creating scripts to feed the data from clients into our solution.
Be the senior technical voice with customers. Lead data-related discussions, advise on complex problems, and build trust with stakeholders at all levels.
Mentor other Analytics Engineers on technical depth, code quality and engineering thinking through example and active support.
Actively bring AI into how we work, finding places where it can improve speed, quality or consistency across the team and customer base.