Data Analyst - Finance

Summary

Join Tilt, the UK’s largest live shopping platform, as a Finance Analyst and contribute to scaling our processes, visibility, and impact. You will be the analytical core of the finance function, building tools, models, and dashboards to transform Tilt’s data into actionable insights. Your responsibilities will range from revenue analysis and budget performance tracking to investor metric reporting and scenario planning. You will collaborate closely with the Finance Lead and other teams. This role offers a unique opportunity to apply your analytical skills in a fast-paced environment with significant commercial impact. The position requires 1–3 years of experience in a data, analytics, or finance-focused role and proficiency in SQL, spreadsheets, and data analysis. Expected start date is August 15th or sooner.

Requirements

• 1–3 years of experience in a data, analytics, or finance-focused role (startup or high-growth background a plus)
• Confident in SQL, spreadsheets, and turning raw data into usable insight
• Familiarity with financial concepts—revenue recognition, margin, opex/capex
• Exposure to tools like Xero, Airbank, Shopify, or equivalent platforms
• Strong attention to detail, with a bias toward automation and clarity
• Self-starter who’s excited by fast feedback loops and real commercial impact

Responsibilities

• Build foundational reporting on revenue, spend, margin, and contribution
• Design and maintain dashboards to track financial KPIs across the business
• Reconcile financial and operational data between systems (Shopify, Xero, banks, etc.)
• Analyse campaign performance, customer behaviour, and cohort trends
• Support board and investor reporting with timely and accurate data
• Assist with variance analysis and financial insight generation
• Develop models for forecasting, scenario planning, and headcount planning
• Lead financial deep dives across LTV, CAC, channel performance, and unit economics
• Collaborate with engineering to improve data flows and reduce manual reporting
• Build budget tracking and self-serve tooling for department leads
• Automate recurring reporting workflows using SQL, Python, or BI tools
• Champion data integrity and drive adoption of finance analytics across teams

Preferred Qualifications

• Bonus: experience with Looker, dbt, or scripting languages like Python
• Bonus: experience with forecasting models or financial scenario planning

Benefits

• Truly flexible hours —work when you’re at your best
• 29 days PTO (plus UK Bank Holidays)
• Tech & office budget to get your workspace just right
• All the AI tools you need —we’ll cover subscriptions like Cursor
• Remote work options —we’re flexible where it counts
• Free Deliveroo for late working evenings
• Canary Wharf office with free gym membership
• Matched pension contributions
• Work abroad for up to 14 consecutive days a year