Data Scientist Junior jobs in United Kingdom

Hybrid - 3 days a week from our London or Amsterdam office and 2 days working from home

Just Eat Takeaway.com is a leading global online food delivery platform with the vision to empower everyday convenience. Our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.

We are embarking on a major finance transformation project to streamline our Month-End Close (MEC) process and align with new, faster reporting timelines. The Data Analyst – R2R will be the analytical engine of this project, responsible for diving deep into our financial and operational data to uncover insights, identify bottlenecks, and measure the impact of our improvement initiatives. Armed with strong technical data skills and a curious mindset, you will transform complex datasets into clear, actionable recommendations that will directly shape the future of our financial close process.

You will work at the heart of the MEC Streamline project, collaborating closely with accountants, project managers, and finance systems teams. You will be responsible for querying, analysing, and visualising data from our core financial systems to provide the critical insights needed to redesign and optimise our Record-to-Report (R2R) processes.

• Data Analysis & Insight Generation: Collect and analyze data related to the Month-End Close (MEC), including accounting checklists, journal entries, and task durations, to identify key pressure points and inform process improvements.
• Root Cause Analysis: Perform a detailed root cause analysis on process inefficiencies and data discrepancies to support the redesign of workflows.
• KPI Development & Monitoring: Develop and monitor key performance indicators (KPIs) to track the performance and efficiency of the MEC process both before and after a transformation.
• Process Mapping & Optimization: Use data to map end-to-end Record-to-Report (R2R) processes, such as Intercompany and Accruals, to visualize dependencies and pinpoint opportunities for optimization.
• System Analysis & Automation: Analyze system data from platforms like Workday and OneStream to identify and recommend opportunities for automation and system enhancements.
• Data-Driven Reporting: Build and maintain dashboards and reports in tools like Looker to effectively communicate project progress and analytical findings to a variety of stakeholders.
• Collaboration & Communication: Collaborate with Finance Transformation and R2R teams to validate findings and translate complex data into clear, concise, and compelling stories for both technical and non-technical audiences.

• Education: Hold a bachelor’s degree in Data Analytics, Finance, Information Systems, or a similar field.
• Experience: Have proven experience in a data-focused role, ideally within a finance or accounting department. Experience with process improvement or transformation projects is a plus.
• SQL Expertise: Demonstrate expertise in SQL, with significant experience using BigQuery or a similar data warehouse to query and manipulate large datasets.
• Data Visualization: Be proficient in data visualization tools, with a preference for Looker, to build insightful dashboards.
• Advanced Spreadsheet Skills: Possess advanced skills in Excel or Google Sheets for complex data manipulation and ad-hoc analysis.
• ERP Knowledge: Have experience with Enterprise Resource Planning (ERP) systems, particularly Workday, and a solid understanding of financial data structures.
• Key Attributes: Exhibit a strong analytical mindset, meticulous attention to detail, and excellent communication skills to effectively bridge the gap between finance and technical teams.

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.

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