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About the Role

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. The expectation is a highly proactive, outcomes-driven role where 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.

Responsibilities

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 organisation 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
Deploy AI to materially improve financial outcomes, transforming how financial planning, forecasting, scenario analysis, and decision support are performed
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
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

Requirements

Strong SQL skills for investigation and analysis
Working knowledge of Python
Ability to investigate and resolve data issues end-to-end
Intellectually curious and detail-oriented
Analytical: happy working with numbers and in large sets of data to draw out insight to support and influence operational decision making
Meticulous: thrive when living in the weeds and are constantly scouring for trends and aberrations
Ambitious: go above and beyond to get results and motivate others
Get your hands dirty: not afraid to jump into confusing messy situations and be the go-to person for getting things done
Outstanding interpersonal and communication skills
Demonstrated ability to work with numbers and data analysis to come up with business insights and recommendations

Skills

AI expertise
Microsoft Fabric
Copilot Studio
Power Automate
Azure Foundry
SQL
Python
Power BI
Tableau
dbt (data build tool)

Location

Market based
Internal travel to partner locations
Monthly international travel to London HQ

Work Type

Full-time
Hybrid

Experience Level

Senior analytics finance professional

Education Level

Bachelor's Degree REQUIRED (Mathematics, Economics, Statistics, Finance, or other quantitative background preferred)

About the Company

SquareTrade is the fastest growing partner in the global device protection market and works with many of the world’s largest operators, retailers and manufacturers.
Obsessed with putting the customer first, from transparent T&Cs to better products, online claim filing and flexible resolution options.
Transforming a “bad” service category into something that empowers people to take care of the things that keep life running smoothly.
Protecting over 140 million devices globally and working across Europe with partners including Apple, T-Mobile and Telenor.
First to market with key innovations including fully-digital claims, choice of resolution option, next day exchange and same-day services via local and on-site repair.
European ambition continues to grow, stepping into new sectors including B2B, CE insurance and trade in products.

Equal Opportunity

SquareTrade is an Equal Opportunity Employer