Senior Analytics Engineer (Customer-Facing)

Crunchr•Boston, MA

9d•Hybrid

About The Position

Crunchr's Customer Success team is seeking a senior, hands-on Analytics Engineer to serve as a technical partner to their customers. This role involves integrating, consolidating, cleansing, and structuring HR data for analytical and operational purposes, as well as building data pipelines to combine information from various source systems. The Senior Analytics Engineer will work directly with clients, both during and after implementation, to ensure data accessibility and optimize their big data ecosystem. This individual will be the technical owner for a portfolio of customer accounts, addressing complex HR data challenges and serving as a trusted technical resource. The Customer Success team comprises 10 members, including Customer Success Managers, Analytics Engineers, and Customer Success Specialists, operating from locations in the Netherlands (Amsterdam) and the US (Boston). The position is based in Boston and reports to the Head of CS, also based in Boston. Collaboration will occur with CSMs on customer accounts and the Engineering department for technical inquiries.

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.
Actively bring AI into how we work, finding places where it can improve speed, quality or consistency across the team and customer base.