At a Glance
- Tasks: Lead a new Data & MI team, delivering insights and shaping strategy.
- Company: Exciting financial services organisation with a focus on data innovation.
- Benefits: Hybrid working, competitive salary, annual bonus, and 38 days holiday.
- Other info: Friendly culture with plenty of opportunities for career growth.
- Why this job: Make a real impact while developing future data talent and capabilities.
- Qualifications: Strong SQL, SAS, R or Python skills; passion for data quality.
The predicted salary is between 50000 - 60000 £ per year.
This is a rare opportunity to join a newly formed Data & MI team at an exciting point in its journey. Reporting into the Head of function, you’ll play a key role in shaping how the team works, building capability in‑house, and developing future data talent; all while staying hands‑on with meaningful analysis and insight. If you’re someone who enjoys rolling your sleeves up, but also wants to influence strategy, ways of working and people development, this role offers the best of both worlds.
What will your day look like? This role is deliberately balanced - day to day, you’ll:
- Deliver high‑quality, timely management information and insight for the Motor business
- Remain hands‑on with complex analysis, data manipulation and MI production
- Translate data into clear, commercially meaningful insight for senior stakeholders
- Support governance, performance and executive forums with robust MI and commentary
Alongside this, you’ll:
- Work closely with the Head of function to help shape strategy, priorities and ways of working
- Line manage and develop three graduates, building their technical capability and confidence
- Play a key role in building long‑term in‑house data capability and nurturing future talent
- Embed strong controls, governance and quality standards across MI outputs
- Identify opportunities to improve, automate and evolve reporting processes
What do we expect from you? We’re open‑minded on background, but some things are essential. You’ll bring:
- Strong, in‑depth working knowledge of SQL, SAS, R or Python (one or more)
- A solid financial services background with understanding of core lending concepts (motor finance experience is welcome but not required)
- A passion for data quality, insight and doing things the right way
- The confidence to explain complex data clearly to non‑technical audiences
Ideally, you’ll also have:
- Experience line managing or coaching others (preferred, but not essential)
- Exposure to building or evolving MI, reporting or analytics capability
- A mindset that balances delivery today with building for tomorrow
What can you expect from us?
- Hybrid working policy – 3 days onsite, 2 days working from home
- A friendly and flexible culture, the same as how we work with our customers
- A growing organisation that means there’s lots of opportunities to progress
- A drive for continuous improvement, which you will be empowered to get behind from day one
- And of course, you will be rewarded competitively, with a great range of core benefits including: annual bonus, up to 10% employer contribution pension, private medical with BUPA and 38 days holiday (including bank holidays)
We’re committed to building a working environment that values respect, diversity, and compassion. We welcome people regardless of age, disability, gender identity, marital status, race, faith or belief, sexual orientation, socioeconomic background, and whether you’re pregnant or on family leave.
Please note: we have a thorough screening and referencing process, which includes criminal record checks.
Data & MI Manager in Cardiff employer: MotoNovo Finance
Join a dynamic and innovative Data & MI team where your contributions will directly shape the future of data capability within the organisation. With a strong emphasis on employee development, you will have the opportunity to mentor graduates while enjoying a flexible hybrid working environment that promotes a culture of respect and continuous improvement. Our competitive benefits package, including generous holiday allowance and private medical cover, ensures that you are well-supported both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Data & MI Manager in Cardiff
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like MotoNovo Finance!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data & MI Manager at MotoNovo Finance.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like MotoNovo Finance.
✨Apply Directly through Our Website
When you find a suitable opening like Data & MI Manager at MotoNovo Finance, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data & MI Manager in Cardiff
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at MotoNovo Finance, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at MotoNovo Finance. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at MotoNovo Finance
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at MotoNovo Finance!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
