FPA Analytics Lead (AI Enablement)

This role acts as a commercial owner and challenger to the business, partnering closely with the FP&A function to actively protect profitability, reduce losses, and strengthen commercial governance across the organisation. The expectation is a highly proactive, outcomes‑driven role. The FP&A Analytics Lead will independently drive analysis, challenge assumptions, influence senior decision‑making, and push for change, not simply report performance. A core part of the role is to deploy AI to materially improve financial outcomes, transforming how financial planning, forecasting, scenario analysis, and decision support are performed.

Role Requirements:

• Own and drive commercial governance across the business, with a clear mandate to identify profit leakage, reduce losses, and improve margin performance, in partnership with the FP&A team.
• Act as an independent commercial conscience, challenging assumptions, escalating risks early, and holding the organization to account on financial outcomes.
• Own end‑to‑end delivery of AI use cases that modernise FP&A workflows, from concept through to live, scalable production.

What We Are Looking For:

We are seeking a senior analytics finance professional with a strong commercial mindset, AI expertise and a passion for transforming how finance drives decision‑making. The emphasis is on applied AI in FP&A, focused on forecasting accuracy, scenario analysis, loss and margin visibility, and stronger commercial control.

Key Accountabilities:

• Commercial Ownership & Governance: Own end‑to‑end commercial insight across the business, with a clear focus on margin protection, loss reduction, and sustainable profit growth.
• Lead proactive analysis of forecast variances, downside risks, and emerging loss drivers, surfacing issues early and driving corrective action.
• Embed strong commercial controls into forecasting, scenario planning, and decision‑making processes.
• Actively influence and challenge stakeholders using evidence‑based insight, not retrospective reporting.

Delivery & AI Enablement:

• Design, build, and deploy AI solutions into production using Microsoft Fabric.
• Apply AI to augment, automate, and scale FP&A workflows, insight generation, and decision support.

Core Technology Stack:

• Microsoft Fabric.
• Strong SQL skills for investigation and analysis.
• Working knowledge of Python.
• Power BI and/or Tableau development and support.
• Experience with dbt (data build tool).
• Ability to investigate and resolve data issues end‑to‑end.

What Success Looks Like:

Within 12 months, this role will have:

• Materially improved forecasting accuracy.
• Strengthened visibility and control over profit margins and losses.
• Proactive identification and mitigation of risks to prevent profit and cost shocks.
• Embedded AI‑driven FP&A capabilities that actively inform commercial decisions across the EU business.
• Shifted FP&A towards a continuous, insight‑led, and control‑oriented function.

Qualifications:

What we are looking for in an ideal candidate:

• Intellectually curious and detail‑oriented: You’re passionate about asking questions, quickly ramping up, and remaining agile as you receive feedback from business owners.
• Analytical: You’re happy working with numbers and in large sets of data to draw out insight to support and influence operational decision making.
• Meticulous: details, details, details…you thrive when living in the weeds and are constantly scouring for trends and aberrations.
• Ambitious: You’ll go above and beyond to get results (and you’re able to motivate others to do the same!).
• You’ll get your hands dirty: You're not afraid to jump into confusing messy situations. You love being the go-to person for getting things done.

Qualifications:

• Bachelor's Degree is required. We prefer Mathematics, Economics, Statistics, Finance, or other quantitative background, but can consider strong candidates from other disciplines as well.
• Outstanding interpersonal and communication skills.
• Demonstrated ability to work with numbers and data analysis to come up with business insights and recommendations.

Additional Information:

This role is based in market but will require significant internal travel to partner locations along with monthly international travel to SquareTrade HQ in London. On average, two to three days per week will be spent with the partner, across a mix of locations, including HQ and stores, both within and outside the assigned region, depending on business requirements. SquareTrade is an Equal Opportunity Employer.