At a Glance
- Tasks: Analyse data to support decision-making and improve reporting efficiency.
- Company: Join CitNOW, a leading software company transforming the automotive industry.
- Benefits: Enjoy flexi-time, wellness initiatives, and opportunities for career growth.
- Other info: Collaborative culture that values diversity and continuous learning.
- Why this job: Make an impact with data analysis in a fast-paced, innovative environment.
- Qualifications: Degree in data, analytics, or finance; proficiency in SQL and Excel.
The predicted salary is between 35000 - 45000 € per year.
About us
Founded in 2008, CitNOW is an innovative, enterprise-level software product suite that allows automotive dealerships globally to sell more vehicles and parts more profitably. CitNOW’s app-based platform provides a secure, brand-compliant solution – for dealers to build trust, transparency and long-lasting relationships. CitNOW Group was formed in 2021 to unite a portfolio of 12 global software companies leveraging innovation to aid retailers and manufacturers in delivering an outstanding customer experience. We have over 300 employees worldwide who all contribute to our vision to provide market-leading automotive solutions to drive efficiencies, seamlessly transforming every customer moment. The CitNOW Group is no ordinary technology company, we live a series of One Team values and this guiding principle forms the foundation of CitNOW Group’s award winning, collaborative and inclusive culture.
About the role
The Data Analyst will play a key role in supporting the FP&A team by providing high‑quality data analysis, reporting and insights to help drive informed decision‑making across the business. The role involves hands‑on work with data, including using SQL to extract, transform and analyse datasets from multiple systems, building and maintaining Power BI reports and ensuring data is structured, accurate and suitable for analytical use. Operating in a fast‑paced environment, the role offers exposure to senior stakeholders, evolving commercial priorities and value‑creation initiatives. This role suits someone with strong technical curiosity who enjoys solving problems through data, tooling and experimentation.
Key responsibilities
- Write and maintain SQL queries to extract, transform and analyse data from multiple internal systems
- Build and maintain structured data models to support reliable reporting and downstream analysis
- Perform trend, variance, and root‑cause analysis to identify drivers of performance and emerging risks or opportunities
- Support creation and ongoing maintenance of performance dashboards
- Develop automated reports and visualisations that improve reporting efficiency and insight quality
- Provide ad‑hoc analysis across KPIs to support operational and commercial decision making
- Assist with budgeting and forecasting and periodic re‑forecasts
- Maintain and update financial models to support planning and performance tracking
- Support scenario and sensitivity analysis to assess the financial impact of key assumptions and business decisions
- Help validate and translate Finance team requirements to Business Systems team
- Identify opportunities to improve reporting efficiency and data quality
- Standardise data definitions and templates to ensure consistency
- Support the implementation of new analytics tools and processes
We're looking for
- A relevant degree (or equivalent) in data, analytics, mathematics, economics, finance or a related field
- A strong analytical mindset, with proficiency in Excel and experience SQL or Python to interpret and work confidently with datasets
- Proactive and curious, with a naturally inquisitive approach to data and a commercial mindset that helps translate analysis into meaningful business insight
- Highly organised and detail‑focused, with the ability to prioritise effectively and work accurately while handling multiple requests
- A collaborative team player, comfortable working closely with colleagues across FP&A, Finance and the wider business
Desirable experience
- Experience using BI tools such as Power BI, Tableau, Qlik or QuickSight, alongside exposure to FP&A or financial reporting
- Experience working in a high‑growth or fast‑moving environment
Benefits
In addition to a competitive salary, our benefits package is second to none. Employee wellbeing is at the heart of our people strategy, with a number of innovative wellness initiatives such as flexi‑time, where employees can vary their start and finish times within our core business hours and/or extend their lunch break by up to 2 hours per day. Employees also benefit from an additional two half days paid leave per year to focus on their personal wellbeing. We recognise the development of our people is vital to the ongoing success of the business and proudly promote a culture of continuous learning and improvement, along with opportunities to develop and progress a successful career with us. The CitNOW Group is an equal opportunities employer that celebrates diversity across our international teams. We are passionate about creating an inclusive workplace where everyone’s individuality is valued.
Finance Data Analyst in Wokingham employer: CitNOW Group
CitNOW is an exceptional employer that prioritises employee wellbeing and professional growth, offering innovative benefits such as flexible working hours and additional paid leave for personal wellness. With a collaborative and inclusive culture, employees are encouraged to develop their skills and advance their careers within a dynamic, fast-paced environment that values diversity and teamwork. Joining CitNOW means being part of a forward-thinking company that is committed to driving efficiencies in the automotive industry while fostering a supportive workplace for all.
StudySmarter Expert Advice🤫
We think this is how you could land Finance Data Analyst in Wokingham
✨Tip Number 1
Network like a pro! Reach out to people in the finance and data analysis field on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL queries, Power BI dashboards, or any data projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when solving problems with data. Remember, they want to see how you think, not just what you know!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our team at CitNOW. Don’t miss out on the chance to join a company that values innovation and collaboration!
We think you need these skills to ace Finance Data Analyst in Wokingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Finance Data Analyst role. Highlight your experience with SQL, data analysis, and any relevant BI tools like Power BI. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our team. Be sure to mention your analytical mindset and collaborative spirit.
Showcase Your Technical Skills:Don’t forget to showcase your technical skills in your application. Mention your proficiency in Excel, SQL, or Python, and any experience you have with financial modelling or reporting. We love seeing candidates who are technically savvy!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at CitNOW Group
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get comfortable with Power BI. Be ready to discuss how you've used these tools in past projects, as CitNOW values hands-on experience with data analysis.
✨Understand the Business Context
Familiarise yourself with the automotive industry and how data impacts decision-making within it. Showing that you understand CitNOW's mission and how your role as a Finance Data Analyst fits into their goals will impress the interviewers.
✨Prepare for Scenario Questions
Expect questions that ask you to analyse hypothetical data scenarios or solve problems on the spot. Practising how to approach these types of questions can help you demonstrate your analytical mindset and problem-solving skills effectively.
✨Show Your Collaborative Spirit
CitNOW emphasises teamwork, so be prepared to share examples of how you've worked collaboratively in the past. Highlighting your ability to communicate and work well with others will align with their One Team values.
