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Finance Data Analyst

  • Job
    Full-time
    Mid Level
  • Milton Keynes

AI generated summary

  • You need advanced Excel skills, data science knowledge, SQL/Python experience, and inventory accounting understanding. Part-qualified in CIMA/ACCA and finance analysis experience is desirable.
  • You will manage inventory financial planning, reporting, and valuation, ensure data accuracy, support audits, and drive process improvements while collaborating with internal teams.

Requirements

  • Advance Microsoft Excel skills
  • Strong data science knowledge base
  • SQL/Python experience beneficial
  • Part-qualified in CIMA or ACCA is desirable
  • Experience in a Finance Analyst or similar role, preferably with exposure to Inventory or Supply Chain Finance.
  • Solid understanding of inventory accounting, valuation, and recognition principles.

Responsibilities

  • Support all internal inventory-related financial planning, control, and reporting activities.
  • Support external Inventory reporting from a statutory and FiA perspective.
  • Assist with the monthly inventory valuation and recognition process in line with FiA and statutory accounting standards.
  • Prepare recurring inventory reports, dashboards, and analysis for internal stakeholders.
  • Perform transactional finance activities related to inventory, including data validation, reconciliations, and journal support.
  • Ensure non-financial stakeholders correctly interpret financial reports, analysis, and the FIA Financial Regulations.
  • Support the decision-making process during PO sign off, considering how Car Assembly demand effects child part demand. There will be a need to consider common parts, potential obsolescence and any cost economies of scale.
  • Ensure accuracy, consistency, and transparency of inventory financial data and reporting.
  • Work with the Cost Performance Business Partner to audit/confirm high standards of data integrity, monitoring inventory categorisation in line with financial regulations, car classifications, event allocation, purchase orders, and internal jobs.
  • Support the RBT Inventory Count process from a Finance perspective, including mid-year and Year End.
  • Support the RBT Statutory & FiA Inventory financial audit.
  • Actively knowledge share with the RBPT and RBAT Finance teams on anything in your work that could impact those teams. This should be done in the monthly working group forum or an ad-hoc basis as topics arise.
  • Drive forward transformation of the tools we use to analyse and report Inventory data.
  • Contribute to continuous improvement of inventory finance processes, controls, and reporting methodologies.

FAQs

What is the main purpose of the Finance Data Analyst – F1 Chassis Inventory position?

The main purpose of the position is to support all financial planning, business partnering, control, and reporting activities related to inventory, ensuring accuracy, consistency, and timely delivery of financial information.

What are the key responsibilities of this role?

Key responsibilities include supporting financial planning and reporting activities, assisting with inventory valuation, preparing reports and dashboards, performing transactional finance activities, ensuring accurate data interpretation, and contributing to process improvements.

What kind of prior experience is preferred for this position?

Experience in a Finance Analyst or similar role is preferred, particularly with exposure to Inventory or Supply Chain Finance.

What skills are essential for this role?

Essential skills include advanced Microsoft Excel proficiency, strong data science knowledge, familiarity with SQL or Python, and an understanding of inventory accounting principles.

Is a professional accounting qualification required?

A part-qualified status in CIMA or ACCA is desirable but not mandatory for this role.

What is the focus of the data interpretation and governance responsibilities?

The focus is on ensuring accuracy, consistency, and transparency of inventory financial data, monitoring compliance with financial regulations, and supporting inventory count processes and audits.

How does this role contribute to cross-functional collaboration?

The role contributes by actively sharing knowledge with finance teams to ensure that any impacts on their work are communicated in a timely manner.

Are there opportunities for continuous improvement in this position?

Yes, the role involves driving transformation of tools for inventory data analysis and contributing to improvements in finance processes and reporting methodologies.

We are Oracle Red Bull Racing. Home of the Formula 1 World Champions 🏆 and the World's Fastest Pit Crew!

Engineering & Construction
Industry
201-500
Employees
2005
Founded Year

Mission & Purpose

For many fans of Formula One, the sport exists between lights and chequered flag on a Sunday afternoon. It begins and ends with the exploits of the drivers on the track. But this is merely the tip of the spear. The reality of modern F1 is that of a complex and intertwined operation, every part of which needs to perform near its limit if success is to be achieved. From the pitcrew searching for the ultimate repeatable pitstop, to the inspiration of the designers, the application of engineers and the herculean efforts of an army of fabricators and machinists, Formula One is a team sport in a very literal sense. From the moment Red Bull Racing first turned a wheel in Formula One, at the start of the 2005 season, it was always clear that if the ultimate goal of championship victories were to be reached it would only be done if the team invested in F1’s most crucial assets – people and experience. Red Bull Racing has come a long way in a short time. Founded with the goal of doing things a bit differently, our nine championship titles are testament to our success in meeting that target. In 2010, 2011, 2012 and 2013 we claimed the Formula One Constructors’ and Drivers’ Championships and added a fifth Drivers' title in 2021. By the start of the 2022 season, the Team has achieved 75 race wins, 206 podiums, 76 fastest laps and 73 pole positions.