Finance Data Manager: AI-Driven FP&A & Insights

United States Digital Space LLC; Cardiff; Hybrid; GBP 71,000 - 83,000; Full time

Benefits offered by this job

Macbooks provided

Learning budget £1,000 yearly

Home office support for remote workers

Benefits package

Job summary

United States Digital Space LLC is seeking a Finance Data Manager to join the FP&A team. You’ll translate financial requirements into scalable data assets, build reporting capabilities, and leverage AI to create scalable data tools that drive strategic decisions.

You will partner with analytics engineers and the Finance Data team to turn raw numbers into clear commercial insights, supporting P&L management, forecasting, and financial modelling. Hybrid work with UK distribution is available.

Qualifications

• Strong grounding in SQL and Python for data work.
• Experience using generative AI to produce data assets.
• Familiarity with Looker or similar BI tools is a plus.
• Experience with Anaplan is a plus.

Responsibilities

• Data Translation & Infrastructure: Translate financial and commercial requirements into scalable data assets and improve core data pipelines.
• Insights & Reporting: Prepare management information and actionable insights to partner with the business.
• Automation & Process Improvement: Automate financial reporting processes and streamline workflows.
• Stakeholder Management: Build relationships with stakeholders across the business.

Skills

SQL

Python

Generative AI

Data visualization

Tools

Looker

Anaplan

Job description

United States Digital Space LLC is seeking a Finance Data Manager to join the FP&A team. You’ll translate financial requirements into scalable data assets, build reporting capabilities, and leverage AI to create scalable data tools that drive strategic decisions.

You will partner with analytics engineers and the Finance Data team to turn raw numbers into clear commercial insights, supporting P&L management, forecasting, and financial modelling. Hybrid work with UK distribution is available.