At a Glance
- Tasks: Deliver high-quality digital analytics and insights across customer journeys.
- Company: Standard Life, a leader in digital analytics with a focus on collaboration.
- Benefits: Up to £36,000 salary, 38 days leave, private medical cover, and flexible working options.
- Other info: Inclusive workplace encouraging applicants from all backgrounds.
- Why this job: Make an impact by transforming data into actionable insights and driving continuous improvement.
- 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 balance 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
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.
Equal Opportunity: We are committed to ensuring that everyone feels accepted and welcome; applicants from all backgrounds are encouraged to apply. 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 employer: Standard Life plc
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.
StudySmarter Expert Advice🤫
We think this is how you could land MI Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, or join online forums. 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
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the MI Data Analyst role. Highlight your experience with Google Analytics, dashboard creation, and any relevant tools like Looker Studio or Tableau. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our team. Be sure to mention any specific projects or achievements that showcase your analytical skills.
Show Off Your Analytical Skills:In your application, don’t just list your skills—demonstrate them! Include examples of how you've used data to drive insights or improvements in previous roles. We love seeing real-world applications of your expertise!
Apply Through Our Website:We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and keep track of everything. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Standard Life plc
✨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!
✨Show Off 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 you'll be working with large datasets, make sure you're comfortable with SQL queries and advanced Excel functions. You might be asked to solve a problem on the spot, so practice some common scenarios beforehand to boost your confidence.
✨Communicate Clearly and Confidently
Remember, not everyone is a data expert! Practice explaining complex data insights in simple terms. This will help you connect with your interviewers and show that you can effectively communicate with non-technical audiences, which is key for this role.
