Finance Data Scientist

Highlights

• First Finance analytics partner shaping pricing and planning on the path to IPO.
• Own revenue and ARR reconciliation plus cohort economics guiding board decisions.
• Build forecasting models used directly in planning and board reporting.

What they offer

• Annual discretionary learning & development stipend
• Annual discretionary social travel stipend to meet colleagues
• Annual company offsite in a new location
• Monthly co-working stipend if not near a main hub

Ideal candidate

A rigorous, commercially-minded data partner who thrives embedded with Finance at a fast-scaling company. You love reconciling messy revenue data to audit-ready truth and turning it into clear analysis that guides pricing and planning.

Requirements

• Experience as data scientist or analyst embedded with Finance/FP&A, ideally at growth-stage or pre-IPO company
• Strong SQL and Python with comfort reconciling data across Stripe, Salesforce and dbt-modelled warehouse
• Finance fluency in ARR, billing, revenue recognition and cohort economics
• Rigour around data quality, reconciling by default and explaining variances
• Strong stakeholder management with Finance leadership and ability to push back on ambiguous asks