At a Glance
- Tasks: Transform complex data into actionable insights and create powerful dashboards.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Enjoy private medical cover, generous holiday, and discounts at top retailers.
- Other info: Great career growth opportunities and a supportive work environment.
- Why this job: Make a real impact by driving data-driven decisions in a dynamic team.
- Qualifications: Advanced Power BI skills and strong SQL experience required.
The predicted salary is between 31500 - 38500 £ per year.
Location: Leeds. Full-Time. Department: Data & Analytics. Reports to: Head of Data.
Are you passionate about turning data into insights that drive real business impact? Do you thrive in a collaborative environment where innovation and curiosity are celebrated? We’re looking for a Senior Data Analyst to join our growing Data & Analytics team and help shape the future of data-driven decision-making across the organisation.
What You’ll Be Doing
As a Senior Data Analyst, you’ll be at the heart of our data strategy — transforming complex datasets into clear, actionable insights. You’ll work closely with cross-functional teams, build powerful dashboards in Power BI, and help optimise our data infrastructure. Your key responsibilities will include:
- Data Analysis & Insight Delivery
- Collecting, cleaning, and analysing large datasets from multiple sources
- Creating advanced Power BI dashboards and reports to support strategic decisions
- Conducting statistical and trend analysis to drive operational improvements
- Data Warehouse Management
- Designing and maintaining ETL processes and scalable data models
- Collaborating with IT and engineering teams to ensure seamless data integration
- Partnering with stakeholders to understand analytical needs and deliver solutions
- Contributing to data governance and strategy development
- Advanced Analytics
- Exploring innovative techniques and staying ahead of BI trends
What You’ll Bring
- Advanced Power BI skills (including DAX, Power Query)
- Strong SQL and data warehousing experience
- Solid understanding of ETL pipelines and data modelling
- Minimum 2–3 years in data analytics or BI roles
- Bonus points for Python or R knowledge
Education & Certifications:
- Bachelor’s or Master’s in Data Science, Statistics, Computer Science, or related field
- Professional certifications (e.g., Microsoft Certified: Data Analyst Associate) are a plus
What We Offer
We believe in rewarding great work. Here’s what you can expect:
- Private medical cover (Bupa) – company funded
- 4x salary life assurance
- 25 days holiday + bank holidays (with Holiday Flex options)
- Discounts across top retailers, leisure, and hospitality
- Simply Health cashback plan + 24/7 virtual GP access
- Enhanced parental leave + £200 new child payment
- Cycle to work scheme
- Wellbeing support, EAP, and discounted gym membership
- Free membership to The Company Shop, Will Service, and more
Some benefits are subject to probation and eligibility criteria. Ready to turn data into decisions? Apply now and be part of a team where your insights make a difference.
Senior Data Analyst employer: Maria Mallaband Care Group Ltd
Maria Mallaband Care Group is an exceptional employer, offering a supportive and dynamic work environment for HR professionals in the heart of Central London. With a strong focus on employee wellbeing, comprehensive benefits including Simply Health coverage, flexible working patterns, and extensive training opportunities, we empower our team to thrive while making a meaningful impact in the care sector. Join us to be part of a forward-thinking organisation that values your contributions and fosters professional growth.
Contact Details:
Maria Mallaband Care Group Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
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We think you need these skills to ace Senior Data Analyst
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!
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✨Brush Up on Your Statistics
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✨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.
