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For Companies At a Glance
- Tasks: Analyse pension data, develop reports, and resolve data issues using SQL and SSRS.
- Company: Respected pensions consultancy driving strategic transformation.
- Benefits: Flexible engagement options, meaningful work, and career growth opportunities.
- Other info: Collaborative team environment with potential for expansion.
- Why this job: Join a high-impact initiative and make a real difference in the pensions sector.
- Qualifications: Strong SQL skills and a background in pensions or regulated environments.
The predicted salary is between 35000 - 45000 £ per year.
A respected pensions consultancy is launching a strategic transformation programme to build a new data and testing layer supporting its expanding client base. This is a unique opportunity to join a high-impact initiative from the ground up, with flexibility in how support is delivered—whether as individual hires or a small team. This role could also suit someone coming from a pensions admin background who is looking to transition into technology.
Key Details
- Role: Data, Testing & Business Analyst – Pensions Sector
- Location: Flexible / UK-based
- Engagement Type: Contract, Permanent, or Team-as-a-Service
- Start Date: ASAP
- Team Size: Initial team of 3, with scope to grow
Responsibilities
- Analyse and reconcile large pension data sets using SQL scripting.
- Develop and maintain reports using SSRS.
- Investigate and resolve data issues, providing insights and recommendations to actuarial teams.
- Support testing and verification of pension calculations and scheme data.
- Map and validate data and benefit codes for new client installations.
- Work with Excel-based data samples to triage and resolve issues.
- Collaborate with stakeholders across pensions administration, actuarial, and systems teams.
Ideal Candidate Profile
- Strong technical skills in SQL (data scripting, querying, reconciliation).
- Experience with SSRS (report writing) is highly desirable.
- Background in pensions (administration, DC or DB schemes) is essential.
- Alternatively, experience in a highly regulated environment with complex data challenges.
- Exposure to data testing, business analysis, or systems implementation projects.
Why Join?
- Be part of a strategic transformation in a respected pensions business.
- Flexible engagement model to suit your career goals.
- Opportunity to shape the approach and grow with the programme.
- Work on meaningful data challenges with real-world impact.
Ready to make a difference in the pensions sector? Apply now to be part of a forward-thinking team driving innovation in data, testing, and analytics.
Details
- Seniority level: Associate
- Employment type: Full-time
- Job function: Information Technology
- Industries: Information Services, Financial Services, and Technology, Information and Media
Business Analyst in England employer: TXP Talent
Contact Detail:
TXP Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst in England
✨Tip Number 1
Network like a pro! Reach out to people in the pensions sector, especially those who work with data and testing. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL scripting and report writing abilities. This is your chance to demonstrate what you can do, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common data challenges in the pensions sector. We want you to be ready to discuss how you can tackle these issues head-on and contribute to the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Business Analyst in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Business Analyst in the pensions sector. Highlight your SQL skills and any relevant experience with data analysis or pensions administration. We want to see how your background fits into our exciting transformation programme!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our team. Mention specific projects or experiences that relate to the responsibilities listed in the job description.
Showcase Your Technical Skills: Since this role requires strong technical skills, don’t shy away from showcasing your SQL scripting and SSRS experience. If you've worked on data testing or business analysis projects, make sure to include those details. We love seeing candidates who are technically savvy!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy—just follow the prompts and submit your materials!
How to prepare for a job interview at TXP Talent
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be ready to discuss how you've used SQL for data reconciliation and analysis in past roles. Practising some common SQL queries can help you feel more confident when discussing technical aspects.
✨Showcase Your Pensions Knowledge
Since this role is in the pensions sector, it’s crucial to demonstrate your understanding of pension schemes, whether DC or DB. Prepare examples from your experience that highlight your familiarity with pensions administration and how it relates to data challenges.
✨Prepare for Data Testing Scenarios
Expect questions about data testing and verification processes. Think of specific instances where you’ve identified and resolved data issues. Being able to articulate your problem-solving approach will show your analytical skills and attention to detail.
✨Engage with Stakeholders
Collaboration is key in this role, so be prepared to discuss how you've worked with different teams in the past. Share examples of how you’ve communicated complex data insights to non-technical stakeholders, as this will demonstrate your ability to bridge the gap between technical and non-technical teams.