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: Ideal for those passionate about data analysis 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: 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 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.
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 through LinkedIn or other platforms. A friendly chat can give you insider info and might even lead to a referral, which can boost your chances of landing that Senior Data Analyst role.
✨Tip Number 2
Prepare for the interview by brushing up on your financial data modelling skills. Be ready to discuss how you've used data analysis to drive business performance in the past. We want to see your analytical prowess in action!
✨Tip Number 3
Showcase your communication skills during the interview. Remember, you'll be engaging with colleagues at all levels, so practice explaining complex data concepts in simple terms. This will demonstrate your ability to connect with non-financial experts.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our dynamic and inclusive team.
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 explain why you're passionate about data analysis and how you can contribute to our team. Don’t forget to mention any relevant projects or achievements.
Showcase Your Communication Skills:Since this role involves engaging with colleagues at all levels, make sure to demonstrate your excellent communication skills in your application. 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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Manchester University
✨Know Your Numbers
As a Senior Data Analyst, you'll be expected to have a strong grasp of financial data. Brush up on key financial metrics and be ready to discuss how you've used data analysis to drive business performance in your previous roles.
✨Showcase Your Communication Skills
This role requires excellent communication skills, especially when engaging with colleagues who may not have a financial background. Prepare examples of how you've effectively communicated complex data insights to non-technical stakeholders.
✨Demonstrate Your Analytical Prowess
Be ready to discuss specific analytical projects you've worked on, particularly those involving financial modelling or KPI development. Highlight your experience in automating processes and improving reporting efficiency.
✨Research the Company and Sector
Familiarise yourself with the company’s financial performance and the higher education sector as a whole. Being able to reference current trends or challenges in your interview will show that you're genuinely interested and well-prepared.
