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For Companies 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 competitive salary, private medical cover, flexible working, and 25 days holiday.
- Other info: Great career growth opportunities and supportive wellbeing initiatives.
- Why this job: Make a real impact by driving data-driven decisions in a dynamic environment.
- Qualifications: Advanced Power BI skills and strong SQL experience required.
The predicted salary is between 36000 - 60000 £ per year.
Location: Leeds | Full-Time | Department: Data & Analytics
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 are 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
- 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
- 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:
- Bachelors or Masters 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:
- Competitive salary
- Private medical cover (Bupa) - company funded
- 4x salary life assurance
- Royal London pension scheme
- 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
- Flexible working patterns
- 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
Contact Detail:
Maria Mallaband Care Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We can’t stress enough how personal connections can give you the inside scoop on job openings and company culture.
✨Tip Number 2
Prepare for interviews by practising common data analysis scenarios. We recommend using real datasets to showcase your skills in Power BI and SQL. Show them you can turn complex data into actionable insights!
✨Tip Number 3
Don’t just apply; engage! When you submit your application through our website, follow up with a friendly email expressing your enthusiasm. It shows initiative and keeps you on their radar.
✨Tip Number 4
Stay updated on BI trends and tools. We suggest reading blogs or joining forums related to data analytics. This not only boosts your knowledge but also gives you great talking points during interviews!
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis and Power BI. We want to see how you've transformed complex datasets into actionable insights, so don’t hold back on those examples!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your passion for data and collaboration. Share specific projects where you’ve made an impact and how you can contribute to our Data & Analytics team.
Show Off Your Skills: Don’t forget to mention your advanced skills in SQL and ETL processes. If you’ve got experience with Python or R, give us a shout! We love seeing candidates who are keen to stay ahead of BI trends.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape data-driven decision-making!
How to prepare for a job interview at Maria Mallaband Care Group Ltd
✨Know Your Data Tools
Make sure you're well-versed in Power BI, SQL, and any other relevant tools mentioned in the job description. Brush up on your DAX and Power Query skills, as you'll likely be asked to demonstrate your proficiency during the interview.
✨Showcase Your Analytical Mindset
Prepare to discuss specific examples of how you've transformed complex datasets into actionable insights. Think about times when your analysis led to significant business improvements and be ready to share those stories.
✨Understand the Company’s Data Strategy
Research the company’s current data initiatives and challenges. This will help you tailor your responses and show that you're genuinely interested in contributing to their data-driven decision-making process.
✨Collaborate and Communicate
Since the role involves working with cross-functional teams, practice articulating your thoughts clearly and concisely. Be prepared to discuss how you’ve successfully collaborated with stakeholders in the past to meet analytical needs.