At a Glance
- Tasks: Manage and analyse data to support key operational decisions and improve data quality.
- Company: Join a forward-thinking company committed to sustainability and employee well-being.
- Benefits: Enjoy competitive bonuses, generous holidays, and a commitment to net-zero workplaces.
- Other info: Opportunity for career growth and upskilling in a dynamic team environment.
- Why this job: Make a real impact by transforming data into actionable insights for clients.
- Qualifications: Advanced Excel skills and experience in data analysis or management required.
The predicted salary is between 30000 - 40000 £ per year.
We’re looking for a Senior Data Analyst to join our Institutional Retirement Client Services team. This role is all about using data carefully and confidently to support Payroll & Reinsurance activity, Pension Risk Transfer transactions and wider operational decision-making. You’ll be working with data from end to end, helping to cleanse, validate, transform, compare and document information so that it can be used accurately by the right teams and systems.
What you’ll be doing:
- Managing operational data across cleansing, validation, transformation, integration and mining activities
- Supporting Pension Risk Transfer transaction data from end to end
- Gathering requirements from payroll consultants and internal stakeholders
- Improving data quality so teams can make accurate and timely decisions
- Testing and documenting processes to support consistent client delivery
- Maintaining clear audit trails across the full data lifecycle
- Supporting and upskilling less experienced team members in new processes
- Sharing best practice with wider data teams and identifying better ways of working
Who we’re looking for:
- Advanced Excel skills and confidence working with detailed data
- Experience in data analysis, operational data management or data process improvement
- Strong attention to detail and a right-first-time mindset
- Confidence communicating with stakeholders and gathering requirements
- Ability to manage tight timescales, prioritise work and escalate when needed
- Curiosity, resilience and confidence challenging where appropriate
- Familiarity with Alteryx, Python, SQL or SAS would be beneficial
- Understanding of defined benefit pensions, Pension Risk Transfer or pension-related data would be beneficial
Benefits:
- The opportunity to participate in our annual, performance‑related bonus plan and valuable share schemes
- Generous pension contribution
- Life assurance
- Healthcare Plan (permanent employees only)
- At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. There’s also the option to buy and sell holiday
- Competitive family leave
- Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only)
- Discounts on our own products and at a range of high street stores and online
- Commitment to net‑zero carbon workplaces by 2030 by investing in sustainable, modern offices across the UK, designed to elevate the in‑person experience
Senior Data Analyst in Glasgow employer: Banner Life Family of Companies
As a Senior Data Analyst at our company, you'll be part of a dynamic team that values data-driven decision-making and fosters a culture of collaboration and continuous improvement. We offer competitive benefits including performance-related bonuses, generous holiday allowances, and a commitment to sustainability, all within a supportive environment that encourages professional growth and upskilling. Join us in our modern offices designed to enhance your work experience while contributing to meaningful projects in the pension sector.
Contact Details:
Banner Life Family of Companies Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in Glasgow
✨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 Banner Life Family of Companies!
✨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 Senior Data Analyst at Banner Life Family of Companies.
✨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 Banner Life Family of Companies.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst at Banner Life Family of Companies, 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 Senior Data Analyst in Glasgow
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 Banner Life Family of Companies, 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 Banner Life Family of Companies. 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 Banner Life Family of Companies
✨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 Banner Life Family of Companies!
✨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.
