At a Glance
- Tasks: Analyse data to drive smarter decisions and improve business performance.
- Company: Join a dynamic team at Vitality, focused on health and well-being.
- Benefits: Enjoy competitive salary, bonus schemes, and award-winning health insurance.
- Other info: Flexible working, career growth opportunities, and a supportive environment await you.
- Why this job: Make a real impact by providing insights that help people live healthier lives.
- Qualifications: GCSEs in Maths, English, and IT; strong analytical and reporting skills required.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Team - Direct Sales Analytics
Working Pattern - Hybrid - 2 days per week in the Vitality Stockport Office. Full time, 35 hours per week. We are happy to discuss flexible working!
Top 3 skills
- Strong Data Analysis and Reporting Skills
- Technical Proficiency in Data Tools
- Problem-Solving and Continuous Improvement Mindset
What this role is all about
As an MI Analyst, you’ll provide the reporting and insights that drive smarter decisions and improve performance across the business. Your work will help our distribution teams reach more customers and deliver on our purpose: making people healthier and protecting their lives.
Key Actions
- Own and evolve a suite of MI reports for the Contact Centre, ensuring accuracy and relevance
- Deliver and enhance business area and product-specific reports, keeping stakeholders informed and empowered
- Spot and solve data anomalies, driving improvements in reporting quality and reliability
- Analyse trends and uncover insights, providing clear recommendations that influence strategic decisions
- Lead performance and KPI reporting, giving visibility into Contact Centre success and opportunities
- Champion efficiency by standardising processes and optimising data assets for maximum impact
- Drive automation by migrating manual reports to advanced tools like Power BI
- Collaborate and influence, building strong stakeholder relationships and managing key MI projects end-to-end
What you need to thrive
- 5 GCSEs A-C preferred in Maths, English and IT
- Excellent IT skills and proficient in complex spreadsheets, analytical tools and reporting and data visualisation tools.
- Experience with MS SQL Server Management Studio (SSMS) and querying using T-SQL
- Understanding of relational database architecture and querying
- A high degree of self-motivation and the ability to work flexibly within tight deadlines
- Demonstrating effective time management skills at all times
- Ability to multi-task, prioritise activities, and meet deadlines/targets.
- High level of attention to detail ensuring all data is correct whilst conducting analysis
- Open to direction and have a collaborative work style and commitment to get the job done
So, what’s in it for you?
- Bonus Schemes - A bonus that regularly rewards you for your performance
- A pension of up to 12% - We will match your contributions up to 6% of your salary
- Our award-winning Vitality health insurance - With its own set of rewards and benefits
- Life Assurance - Four times annual salary
These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page.
Fantastic Benefits. Exciting rewards. Great career opportunities!
If you are successful in your application and join us at Vitality, this is our promise to you, we will:
- Help you to be the healthiest you’ve ever been.
- Create an environment that embraces you as you are and enables you to be your best self.
- Give you flexibility on how, where and when you work.
- Help you advance your career by playing to your strengths.
- Give you a voice to help our business grow and make Vitality a great place to be.
- Give you the space to try, fail and learn.
- Provide a healthy balance of challenge and support.
- Recognise and reward you with a competitive salary and amazing benefits.
- Be there for you when you need us.
- Provide opportunities for you to be a force for good in society.
We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.
MI Analyst in Stockport employer: Vitality
As a Senior Actuarial Analyst within the Vitality Programme team, you will thrive in a dynamic and collaborative environment that champions innovation and professional growth. With flexible working options and a strong focus on employee well-being, including an award-winning health insurance plan and generous pension contributions, our company is dedicated to fostering a supportive culture where your contributions directly impact our market-leading propositions. Join us in London or Bournemouth, where your expertise in advanced analytics and pricing strategy will be valued and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land MI Analyst in Stockport
✨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 Vitality!
✨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 MI Analyst at Vitality.
✨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 Vitality.
✨Apply Directly through Our Website
When you find a suitable opening like MI Analyst at Vitality, 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 MI Analyst in Stockport
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 Vitality, 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 Vitality. 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 Vitality
✨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 Vitality!
✨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.
