At a Glance
- Tasks: Transform complex data into actionable insights and support data-driven decision-making.
- Company: Leading care home management software provider with a collaborative culture.
- Benefits: Exciting opportunity to work with innovative technology and enhance your analytical skills.
- Other info: Hybrid working arrangements available; start date on 22/06/2026 for a 2-week assignment.
- Why this job: Make a real impact by driving smarter decisions across multiple departments.
- Qualifications: Experience in data analysis, proficiency in Power BI, and strong analytical skills.
The predicted salary is between 30000 - 40000 £ per year.
Our client is a leading provider of care home management software with over three decades of experience supporting operational efficiency, quality, and profitability in the care sector. The organisation fosters a collaborative and innovative culture, committed to leveraging data and technology to improve outcomes. This role offers an exciting opportunity for a data-savvy professional to contribute to a growing software business by transforming complex data into actionable insights that drive smarter decision-making across multiple departments.
Role Overview
As a Data and Insights Analyst, you will support our client’s strategic goals by providing high-quality analysis, reporting, and data insight. Working across various teams, including product, development, operations, customer success, finance, and commercial, you'll help enhance visibility, improve decision-making, and support the ongoing development of reporting capabilities, including dashboards, visualisations, and data structures. Your contributions will be vital in advancing AI adoption and operational insight, ensuring the organisation continues to evolve and succeed.
Key Skills & Experience
- Experience in a data analyst, business intelligence, or reporting-focused role
- Strong analytical and statistical analysis capabilities
- Proficiency in building dashboards and visualisations using BI/reporting platforms such as Power BI
- Excellent organisational and problem-solving skills
- Strong attention to detail and data accuracy
- Ability to translate complex data into clear, understandable insights
- Interest or experience in AI tools, prompt engineering, or AI-assisted analysis
- Excellent written and verbal communication skills
- High level of IT literacy, comfortable working across technical and non-technical teams
Key Responsibilities
- Analyse customer usage and operational data to identify trends, opportunities, and risks
- Support data-driven decision-making through clear reporting and insights
- Design and build dashboards and visualisations using BI tools such as Power BI
- Assist with the development and optimisation of advanced reporting functionality
- Create internal reports and statistical analyses to support strategic and operational decisions
- Support marketing materials, presentations, and thought leadership with data insights and statistics
- Advise teams on data management practices to improve consistency and quality of data usage
- Respond to customer data analysis requests and assist with internal data investigations
- Collaborate with development and product teams to enhance visibility of product performance and customer behaviour
- Support AI exploration and adoption, including insight generation, prompt engineering, and workflow optimisation
- Identify opportunities to improve efficiency, automation, and reporting capabilities through better data utilisation
- Present findings and recommendations clearly to both technical and non-technical stakeholders
Requirements
- Right to work in the UK or valid work permissions
- Proven experience in a data analysis, reporting, or BI role
- Proficiency in Power BI; experience with Yellowfin is desirable
- Knowledge of SQL or database querying is beneficial
- Based in Yorkshire or willing to work on-site, with hybrid working arrangements
- Available to start on 22/06/2026 for a 2-week assignment
Nice to Have (Optional)
- Experience working within SaaS or software businesses
- Understanding of data governance or data management practices
- Experience analysing product usage or operational performance data
- Prior experience within the care sector
If you are passionate about data and eager to help a forward-thinking organisation become more insight-led, we encourage you to apply now.
Data Analyst in Leeds employer: Gravitas Group
Our client is an exceptional employer, offering a dynamic work environment in Yorkshire that champions collaboration and innovation. With a strong commitment to employee growth, the company provides opportunities for professional development and encourages the use of cutting-edge technology to drive impactful insights. The supportive culture fosters creativity and teamwork, making it an ideal place for data-savvy professionals looking to make a meaningful contribution in the care sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Leeds
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Gravitas Group before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Gravitas Group.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Gravitas Group.
We think you need these skills to ace Data Analyst in Leeds
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Gravitas Group, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Gravitas Group, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Gravitas Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at Gravitas Group
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Gravitas Group.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Gravitas Group.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Gravitas Group.
