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For Companies At a Glance
- Tasks: Analyse financial data using SQL and Python to drive insights and support decision-making.
- Company: Join a major UK retail brand with a focus on innovation and analytics.
- Benefits: Earn up to £47,000, enjoy hybrid working, and develop your career in finance analytics.
- Why this job: Work with cutting-edge tech like Databricks and explore machine learning applications.
- Qualifications: Strong SQL and Python skills, plus experience with Power BI.
- Other info: Great opportunity for career growth in a dynamic finance team.
The predicted salary is between 33600 - 50400 £ per year.
Overview
We are working with a major UK retail brand to hire a FinOps Data Analyst for their Finance Analytics team. You will provide analytical support and reporting solutions across multiple finance functions, working closely with SQL engineers and Finance stakeholders. This hands-on role uses SQL and Python daily to explore data, identify trends, and deliver actionable insights that drive financial decision-making. The team is modernising their data platform with Databricks and Medallion Architecture, giving you exposure to cutting-edge technologies.
Key Responsibilities
- Build analytical solutions and reporting across 4 finance areas: Accounts Payable, Cash Accounting, Commercial Services, and Operations.
- Perform SQL-based data exploration, validation, and transformation.
- Use Python (Pandas/Numpy) for analysis, automation, and data profiling.
- Build Power BI dashboards to visualise financial metrics.
- Support ad-hoc analysis by exploring trends and anomalies.
- Engage with stakeholders to gather requirements and deliver analytical outputs.
- Contribute to self-service analytics and data literacy initiatives.
Current Projects
- Databricks Modernisation: Exposure to Databricks as the team builds Gold Standard Medallion Architecture.
- Self-Service Analytics: Reducing ad-hoc queries by building reusable assets.
- BAU Finance Support: Ongoing analytics across AP, Cash Accounting, Commercial Services, and Operations.
- Analytical Automation: Using Python/SQL to streamline recurring finance analysis.
- Future ML/AI: The team will explore machine learning applications in finance analytics.
Requirements
Essential
- Strong SQL (querying, joins, CTEs, window functions, data profiling).
- Python for data analysis (Pandas, Numpy).
- Power BI experience (dashboard creation, no heavy DAX required).
- Strong analytical mindset and communication skills.
- Onsite presence: Able to work in Leicester 4 days/week (5 days for the first 3 months).
Desirable
- Databricks or modern cloud data platforms.
- Experience within a Finance team or working with financial data.
- Data warehousing knowledge.
What You Will Get
- Salary up to £47,000.
- Exposure to modern data tech (Databricks, Medallion Architecture).
- ML/AI exposure as the team evolves.
- Hybrid working (4 days onsite after initial training).
- Career development in a major UK retailer.
Interview Process
- Stage 1: Informal discussion with Analytics Manager (45 mins, virtual).
- Stage 2: In-person assessment (3 hours total). 2 hours: Analytical task using SQL/Python on a provided dataset. 1 hour: Discussion reviewing your approach and reasoning.
Working Arrangements
First 3 months: 5 days/week onsite for training. After 3 months: 4 days/week onsite, 1 day remote.
This is a fantastic opportunity for a Data Analyst looking to specialise in Finance analytics while developing skills in modern data platforms and ML/AI.
Data Analyst - Studentjob.co.uk in Leicester employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Studentjob.co.uk in Leicester
✨Tip Number 1
Get your SQL and Python skills sharp! Since you'll be using them daily, brush up on querying, joins, and data profiling. Practise building dashboards in Power BI too, as visualising financial metrics is key.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry meetups. This can give you insider info about the company culture and maybe even a referral!
✨Tip Number 3
Prepare for that informal chat with the Analytics Manager. Think about how you can showcase your analytical mindset and communication skills. Have examples ready that demonstrate your experience with finance data.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the team and keen to contribute to their exciting projects.
We think you need these skills to ace Data Analyst - Studentjob.co.uk in Leicester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL and Python skills, as well as any experience with Power BI. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the FinOps Data Analyst position and how your analytical mindset can contribute to our Finance Analytics team. Keep it engaging and personal!
Showcase Your Analytical Skills: In your application, include examples of how you've used SQL and Python to solve problems or deliver insights. We love seeing real-world applications of your skills, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our awesome team at StudySmarter!
How to prepare for a job interview at Jobster
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss querying, joins, and window functions, as these will be crucial for the role. Practising with real datasets can help you feel more confident when tackling any analytical tasks during the assessment.
✨Show Off Your Python Skills
Since Python is a key part of this role, especially with libraries like Pandas and Numpy, make sure you can demonstrate your proficiency. Consider working on a small project or two that showcases your ability to automate analysis and profile data, so you can share specific examples during your interview.
✨Visualisation is Key
Familiarise yourself with Power BI and be ready to discuss how you've used it to create dashboards in the past. Think about how you can present financial metrics clearly and effectively, as this will be an important aspect of the job. If possible, prepare a sample dashboard to showcase your skills.
✨Engage with Stakeholders
This role involves working closely with finance stakeholders, so be prepared to talk about your experience in gathering requirements and delivering analytical outputs. Highlight any previous experiences where you successfully collaborated with others to achieve a common goal, as strong communication skills are essential.
