At a Glance
- Tasks: Develop automated financial models and analyse data to enhance reporting processes.
- Company: Join a dynamic team focused on financial planning and analysis.
- Benefits: Generous pension, 29 days leave, and ride-to-work schemes.
- Other info: Inclusive environment encouraging diverse backgrounds and experiences.
- Why this job: Make a real impact by improving financial performance insights.
- Qualifications: Degree-level education and strong analytical skills required.
The predicted salary is between 45000 - 55000 £ per year.
We are seeking a motivated and collaborative individual to join our team as a Senior Data Analyst. This role offers an exciting opportunity to contribute under the guidance of the Head of Financial Planning and Analysis to deliver high‑quality financial planning and analysis, often including ad hoc analysis to tight deadlines. The Senior Data Analyst will lead on developing automated financial data models and use data analysis skills to improve reporting processes within a dynamic and inclusive environment. We encourage applications from individuals with a wide range of backgrounds and experiences.
Responsibilities
- Use financial data to develop a clear understanding of the drivers of business performance.
- Support senior leadership in developing key performance indicators (KPIs) specific to financial performance and create financial models to automate analysis of current performance against the stated KPIs.
- Perform market research and conduct business studies to support benchmarking of financial performance both within and outside the sector.
Essential Criteria
- Educated to degree standard or equivalent.
- Excellent communication (both verbal and written) and interpersonal skills to engage colleagues at all levels, including those without financial expertise.
- Proven analytical and financial data modelling skills.
Desirable Criteria
- Significant experience working in a data analysis role, preferably within the Higher Education Sector.
Benefits
- Generous employer contribution pension.
- 29 days annual leave plus bank holidays, along with Christmas closure.
- Ride‑to‑work and EV car scheme available.
Senior Data Analyst - Automated Financial Models & KPI Insights in Manchester employer: Manchester University
Join a forward-thinking organisation that values collaboration and inclusivity, where as a Senior Data Analyst, you will play a pivotal role in shaping financial insights and performance metrics. With generous benefits including a robust pension scheme, 29 days of annual leave, and unique initiatives like the ride-to-work and EV car scheme, we foster a supportive work culture that prioritises employee growth and well-being. This is an exceptional opportunity to thrive in a dynamic environment while contributing to meaningful financial analysis within the Higher Education sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst - Automated Financial Models & KPI Insights in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry on LinkedIn. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by practising common questions related to data analysis and financial modelling. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your skills effectively.
✨Tip Number 3
Showcase your analytical skills with real examples! Bring along case studies or projects you've worked on that demonstrate your ability to develop financial models and KPIs. This will help you stand out as a candidate who can hit the ground running.
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email reiterating your interest in the role and highlighting a key point from your conversation can leave a lasting impression on the hiring team.
We think you need these skills to ace Senior Data Analyst - Automated Financial Models & KPI Insights in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in financial data analysis and modelling. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior Data Analyst position and how your background makes you a perfect fit for our team.
Showcase Your Analytical Skills:In your application, give examples of how you've used data analysis to drive business performance. We love seeing real-world applications of your skills, especially if they relate to KPIs or financial models!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our dynamic team!
How to prepare for a job interview at Manchester University
✨Know Your Numbers
Before the interview, brush up on key financial metrics and KPIs relevant to the role. Be prepared to discuss how you’ve used data analysis to drive business performance in your previous roles. This shows you’re not just familiar with numbers but can also interpret them effectively.
✨Showcase Your Analytical Skills
Bring examples of your past work where you developed financial models or automated reporting processes. If possible, prepare a brief case study to demonstrate your analytical thinking and problem-solving skills. This will help the interviewers see your practical experience in action.
✨Communicate Clearly
Since the role requires excellent communication skills, practice explaining complex financial concepts in simple terms. Think about how you would explain your findings to someone without a financial background. This will highlight your ability to engage with colleagues at all levels.
✨Research the Company
Familiarise yourself with the company’s financial performance and any recent news or developments in the sector. Understanding their position will allow you to tailor your responses and show genuine interest in how you can contribute to their goals.
