At a Glance
- Tasks: Analyse financial data and develop automated models 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: Great opportunity for career growth in the Higher Education Sector.
- Why this job: Make a real impact by improving financial performance in an inclusive environment.
- Qualifications: Degree-level education and strong analytical skills required.
The predicted salary is between 40000 - 50000 € 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 in Manchester employer: The University of Manchester
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 strategies. With generous benefits including a robust pension scheme, 29 days of annual leave, and opportunities for professional growth, this is an ideal environment for those looking to make a meaningful impact in the Higher Education sector.
Contact Detail:
The University of Manchester Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or in similar roles on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your financial data modelling skills. We want to showcase our analytical prowess, so practice explaining complex concepts in simple terms – remember, not everyone has a finance background!
✨Tip Number 3
Showcase your adaptability! In our dynamic environment, being able to pivot and tackle ad hoc analysis is key. Share examples from past experiences where you successfully managed tight deadlines and changing priorities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Senior Data Analyst in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Analyst role. Highlight your analytical skills and any experience with financial data models, as these are key to impressing us.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analysis and how you can contribute to our team. Be sure to mention any relevant projects or achievements.
Showcase Your Communication Skills:Since this role involves engaging with colleagues at all levels, make sure your application demonstrates your excellent communication skills. Use clear and concise language to convey your ideas effectively.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at The University of Manchester
✨Know Your Numbers
As a Senior Data Analyst, you'll be expected to handle financial data like a pro. Brush up on key financial metrics and be ready to discuss how you've used data to drive business performance in your previous roles. This will show your potential employer that you can hit the ground running.
✨Showcase Your Communication Skills
You'll need to engage with colleagues at all levels, so practice explaining complex data concepts in simple terms. Prepare examples of how you've successfully communicated insights to non-financial stakeholders. This will demonstrate your ability to bridge the gap between data and decision-making.
✨Prepare for Scenario Questions
Expect questions that ask how you would approach specific data analysis challenges or financial modelling tasks. Think through some scenarios beforehand and outline your thought process. This will help you articulate your analytical skills and problem-solving abilities during the interview.
✨Research the Company and Sector
Familiarise yourself with the company's financial performance and any recent news in the Higher Education sector. Being knowledgeable about the industry will not only impress your interviewers but also allow you to tailor your responses to align with their goals and challenges.
