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For Companies At a Glance
- Tasks: Analyse data to improve customer payment experiences and drive business growth.
- Company: Join a friendly, inclusive team at a leading insurance provider.
- Benefits: Competitive salary, generous holiday allowance, private healthcare, and performance bonuses.
- Why this job: Make a real impact on customer experiences while working with cutting-edge data tools.
- Qualifications: Experience in data analytics, strong communication skills, and familiarity with visualisation tools.
- Other info: Hybrid work model with excellent career development opportunities.
The predicted salary is between 43000 - 60000 ÂŁ per year.
Salary - from ÂŁ43,000 & Excellent Benefits
Location â Edinburgh or Glasgow - Hybrid
Office Attendance â Our roles are hybrid; you should be able to work in our offices 2 days per week.
Closing Date - 3rd December 2025
We deal in the personal â from pet insurance for your best friend, and home insurance for peace of mind, to motor insurance for your dream car or travel money for that trip youâve worked hard for. And that means we always work with heart. Whether weâre helping our customers or looking after our people, youâll find thereâs a warmth and friendliness to everything we do.
Join our growing Payments team in Glasgow / Edinburgh Office.
Role Overview
Bring together data from a variety of sources to deliver meaningful business stories on how our customers choose to pay and the performance of our payments ecosystem. Collaborate closely with other teams, analyze datasets to surface insights and opportunities for improvement to drive a best-in-class customer experience and strong commercial outcomes. Help build a modern payments ecosystem for Tesco Insurance & Money Services, shaping how insight supports business decisions and customer experience.
Responsibilities
- Data collection and management: work closely with Product, Operations, Finance, Digital Analytics, and external partners to ensure consistent and accurate data collection across the payment ecosystem.
- Data integration and manipulation: identify, import, clean, and structure file-based datasets from payment service providers, website analytics tools, and CRM systems, interpreting and combining them to create a complete picture of payment performance.
- Data analysis and interpretation: lead in-depth analysis of payment outcomes and user behaviour to derive actionable insights. Produce adâhoc analysis to support investigations, inform decisionâmaking, and identify highâimpact growth opportunities.
- Reporting and visualisation: develop and maintain payment dashboards and performance scorecards covering all payment channels, defining and monitoring key performance indicators. Use data visualisation tools to present complex data in an understandable and accessible manner.
- Operational growth and development: support continuous development of our data processes, analysis methodology, and use of tools and technology in a fastâpaced industry, whilst adhering to data security and customer privacy.
Qualifications
- Data Analytics or Insight experience, within payments, eâcommerce, or financial services.
- Experience interpreting, merging, and analysing data from multiple, unconnected systems.
- Strong communication skills, demonstrating an ability to communicate analysis and insights to a range of audiences across the business.
- Experience using data visualisation tools such as Power BI, Tableau, or Looker.
- Strong commercial acumen, demonstrating a sound understanding of business objectives and ability to align plans to these.
- Familiarity with website analytics tools and customer journey measurement (Google Analytics or Adobe Analytics).
- Ability to prioritise and work in a fastâpaced organisation, prioritising individual and team backlogs on activity that adds the most value.
Additional Skills (even better)
- Experience with payment service providers and associated data and reporting.
- Previous experience in the Insurance or wider financial services sector, or experience within subscriptionâbased eâcommerce.
- Experience using SQL, Python, and/or R to manipulate and visualise data.
- Familiarity with data pipelines/ETL tools, automated reporting, APIs.
Benefits
- Prepare for your retirement with our colleague pension scheme.
- Private healthcare and a virtual GP Service for you and your family 365 days a year.
- Performanceârelated annual bonus.
- Generous holiday allowance with a minimum of 7.2 weeks, with the opportunity to buy more.
- Colleague Clubcard with a 10% discount that increases to 15% every payday; weâll give you a second card to share with someone else.
- Familyâoriented initiatives, including enhanced maternity leave pay, shared parental leave policy, and a generous 8âweek paid paternity leave.
- Ongoing learning opportunities and awardâwinning training.
- Buyâasâyouâearn and saveâasâyouâearn share schemes.
Inclusive Workplace
Everyone's welcome. We want all colleagues to feel comfortable being themselves and weâre committed to building a more inclusive workplace and celebrating diversity.
Work-Life Balance & Flexibility
Weâre committed to exploring partâtime and flexible working opportunities at every level of the organisation. Please discuss your flexibility needs during interview.
Interested? Click apply to learn more and join us.
Senior Data & Insight Analyst in Edinburgh employer: Tesco Insurance and Money Services
Contact Detail:
Tesco Insurance and Money Services Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Data & Insight Analyst in Edinburgh
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
â¨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how they align with your own. This will help you answer questions more authentically and show that you're genuinely interested in being part of the team.
â¨Tip Number 3
Practice your data storytelling skills! Be ready to explain complex insights in a simple way. Use examples from your past experiences to demonstrate how your analysis has led to actionable outcomes. This will impress interviewers and show your value.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets noticed. Plus, it shows youâre serious about joining our team and are familiar with our processes.
We think you need these skills to ace Senior Data & Insight Analyst in Edinburgh
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data & Insight Analyst. Highlight your experience in data analytics, especially within payments or e-commerce, and showcase any relevant tools you've used like SQL or Power BI.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and how you can contribute to our Payments team. Don't forget to mention your understanding of customer journeys and how you can enhance their experience.
Showcase Your Communication Skills: We value strong communication skills, so make sure to demonstrate how you've effectively shared insights with different audiences in your previous roles. This will show us that you can bridge the gap between data and decision-making.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. Itâs the best way for us to receive your application and keep track of it, plus youâll find all the details you need about the role there!
How to prepare for a job interview at Tesco Insurance and Money Services
â¨Know Your Data
As a Senior Data & Insight Analyst, you'll be expected to have a solid grasp of data analytics. Brush up on your experience with SQL, Python, and data visualisation tools like Power BI or Tableau. Be ready to discuss specific projects where you've successfully interpreted and merged data from multiple sources.
â¨Understand the Payments Ecosystem
Familiarise yourself with the payments landscape, especially in relation to e-commerce and financial services. Research current trends and challenges in the industry, and think about how they might impact the role. This will show your potential employer that you're not just a data whiz but also understand the business context.
â¨Communicate Clearly
Strong communication skills are key for this role. Prepare to explain complex data insights in simple terms. Think of examples where you've had to present findings to non-technical audiences, and practice articulating those stories clearly and confidently.
â¨Show Your Collaborative Spirit
This position involves working closely with various teams. Be prepared to discuss how you've collaborated with others in past roles, particularly in data collection and analysis. Highlight any experiences where youâve contributed to team success and how you can bring that collaborative mindset to their Payments team.