At a Glance
- Tasks: Deliver high-quality digital analytics and insights across customer journeys.
- Company: Join a leading company in Pensions & Savings with a focus on innovation.
- Benefits: Up to £36,000 salary, 38 days leave, private medical cover, and more.
- Other info: Flexible working options available; we value your unique experiences and perspectives.
- Why this job: Make an impact by transforming data into actionable insights for real business decisions.
- Qualifications: Experience with Google Analytics, dashboard creation, and strong analytical skills required.
The predicted salary is between 36000 - 36000 £ per year.
Job Type: Permanent
Location and flexible working: Edinburgh, or Birmingham. All our roles are open to part‑time, job‑share and other types of flexibility. We will discuss what is important to you and balancing this with business requirements during the recruitment process.
Salary and benefits: Up to £36,000 dependent upon experience plus an indicative bonus range of 8% to 16%, private medical cover, 38 days annual leave, excellent pension, 12x salary life assurance, income protection, 3x volunteering days and much more.
Closing Date: 9th June
We have an incredible opportunity for a Digital MI Data Analyst to join our Performance & Insight team, Customer Office in Pensions & Savings.
The role: You will play a key role in delivering high‑quality digital analytics and insight across Standard Life’s customer journeys. You will take ownership of regular Google Analytics reporting, ensuring stakeholders have clear, accurate, and actionable performance insights. By monitoring digital journeys, you will identify trends, issues, and opportunities to drive continuous improvement. You will design and develop dashboards and visualisations that bring data to life, while also supporting ad hoc analysis to answer business questions and inform decision‑making. Working closely with internal teams, you will translate reporting requirements into meaningful metrics and ensure data integrity across all outputs.
What We’re Looking For:
- Must have experience of using Google Analytics (GA4 preferred) and Google Tag Manager to produce reports and analyse performance
- Proven experience within an MI Data Analyst role with experience creating dashboards or reports using visualisation tools such as Looker Studio, Tableau, or Power BI
- Strong analytical skills with the ability to interpret data and provide clear insight
- Excel knowledge (advanced formulas, Power Query, PivotTables, modelling) along with experience in querying large datasets using SQL
- Good communication skills, with the ability to explain data clearly to non‑technical audiences
We want to hire the whole version of you. We are committed to ensuring that everyone feels accepted and welcome. If your experience looks different from what we’ve advertised and you believe that you can bring value to the role, we’d love to hear from you. If you require any adjustments to the recruitment process, please let us know so we can help you to be at your best.
MI Data Analyst in Birmingham employer: Standard Life (previously Phoenix Group)
At Standard Life, we pride ourselves on being an exceptional employer, offering a supportive and flexible work environment in either Edinburgh or Birmingham. With a strong focus on employee well-being, we provide generous benefits including up to 38 days of annual leave, private medical cover, and opportunities for professional growth through engaging projects in digital analytics. Our inclusive culture encourages collaboration and innovation, making it a rewarding place for MI Data Analysts to thrive and make a meaningful impact.
Contact Details:
Standard Life (previously Phoenix Group) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land MI Data Analyst in Birmingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills with real examples. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications after a week or so. A quick email can show your enthusiasm and keep you on their radar.
✨Tip Number 4
Check out our website for the latest job openings. We’re always looking for talented individuals, and applying directly through us can give you a better chance of standing out!
We think you need these skills to ace MI Data Analyst in Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your experience with Google Analytics, dashboard creation, and any relevant tools like SQL or Power BI. We want to see how you fit into our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background makes you a great fit. Don’t forget to mention your analytical skills and how you can contribute to our Performance & Insight team.
Showcase Your Analytical Skills:In your application, provide examples of how you've used data to drive decisions or improvements in previous roles. We love seeing real-world applications of your skills, so don’t hold back on sharing your successes!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates. Plus, it’s super easy to do!
How to prepare for a job interview at Standard Life (previously Phoenix Group)
✨Know Your Tools Inside Out
Make sure you’re well-versed in Google Analytics, especially GA4, and Google Tag Manager. Be ready to discuss how you've used these tools in your previous roles to create reports and analyse performance. Having specific examples at hand will show that you know your stuff!
✨Showcase Your Dashboard Skills
Prepare to talk about your experience with visualisation tools like Looker Studio, Tableau, or Power BI. Bring along examples of dashboards you've created and be ready to explain the thought process behind them. This will demonstrate your ability to turn data into actionable insights.
✨Brush Up on Your SQL and Excel Skills
Since this role requires querying large datasets and advanced Excel skills, make sure you can confidently discuss your experience with SQL and Excel functions. Practise explaining complex data concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Be Ready for Scenario Questions
Expect questions that ask how you would handle specific situations, such as identifying trends or resolving data integrity issues. Think through some scenarios beforehand and prepare your responses. This will help you demonstrate your analytical thinking and problem-solving abilities.
