At a Glance
- Tasks: Transform data into insights, design dashboards, and support decision-making across the organisation.
- Company: Join Alzheimer’s Society and make a difference through data-driven decisions.
- Benefits: Flexible role with opportunities for growth and impact in a meaningful cause.
- Other info: Diverse and inclusive workplace encouraging applications from all backgrounds.
- Why this job: Be part of a mission-driven team that values your analytical skills and insights.
- Qualifications: Experience with Power BI, SQL, and strong analytical skills required.
The predicted salary is between 30000 - 40000 £ per year.
We’re looking for a Data Analyst to join our Data team within the Technology directorate. This is an exciting opportunity to help drive data-informed decision-making across Alzheimer’s Society, enabling colleagues to better understand performance, allocate resources effectively, and demonstrate the impact of our work. As a Data Analyst, you’ll play a key role in transforming data into meaningful insight. You’ll design and maintain dashboards and reports, deliver analysis that answers important business questions, and work closely with stakeholders across the organisation to understand their needs and help them make better-informed decisions. This is a varied and flexible role that can support different areas of the organisation, from fundraising and services to workforce, research, and beyond. Whatever the domain, you’ll use your analytical expertise to turn complex data into clear, actionable information that supports our mission and strategic goals.
You’re a curious and analytical thinker who enjoys solving problems and uncovering insights through data. You have a strong eye for detail and take pride in delivering accurate, reliable, and user-friendly reporting and analysis. You’re comfortable working with stakeholders from a variety of backgrounds, translating business requirements into meaningful reporting solutions and communicating findings in a way that is accessible and engaging. You enjoy working collaboratively, are proactive in identifying opportunities for improvement, and are passionate about helping others use data with confidence. Whether building dashboards, analysing trends, or responding to ad-hoc requests, you’re motivated by the opportunity to make a real impact through your work.
Qualifications
- Experience designing, developing, and maintaining dashboards and reports using Power BI or similar reporting tools
- Strong analytical skills with experience using SQL to extract, transform, and analyse data
- Experience working with large and varied datasets, ensuring data accuracy, quality, and integrity
- The ability to translate complex data into clear, actionable insights for technical and non‑technical audiences
- Experience gathering and interpreting stakeholder requirements to develop effective reporting and analytical solutions
- Strong skills in Excel and other data management tools
- Excellent communication and stakeholder engagement skills
- A proactive approach to problem‑solving, continuous improvement, and data-driven decision‑making
- An understanding of data protection principles and the importance of handling data responsibly
Responsibilities
- Designing, building, and maintaining Power BI dashboards and reports that provide clear visibility of organisational performance
- Translating business requirements into user-friendly reporting and analytical solutions
- Delivering ad‑hoc analysis and presenting findings that support informed decision-making
- Using SQL and other tools to extract, transform, and analyse data from multiple sources
- Identifying trends, patterns, risks, and opportunities within organisational data
- Supporting the development of self‑service reporting capabilities across the Society
- Working closely with stakeholders to understand reporting needs, manage expectations, and deliver valuable insights
- Maintaining clear documentation of data sources, definitions, and methodologies
- Supporting data quality initiatives and helping resolve data issues identified through analysis
- Contributing to a culture of continuous improvement and data-informed decision-making across the organisation
Important Dates
Deadline for applications is on 30th June 2026, 23:59. Interviews will take place W/C 13th July 2026.
Diversity and Inclusion
We actively support diversity and inclusion. We encourage applications from all backgrounds, including individuals with disabilities, impairments, health conditions, and from minority ethnic groups.
Data Analyst - 24 months FTC employer: AlzheimersSociety
Alzheimer's Society is an exceptional employer that fosters a collaborative and inclusive work culture, empowering employees to make a meaningful impact through data-driven decision-making. With a strong commitment to employee growth, we offer opportunities for professional development and the chance to work on diverse projects that support our mission. Located in a vibrant community, our team enjoys a flexible work environment that values innovation and encourages proactive problem-solving.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - 24 months FTC
✨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 AlzheimersSociety 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 AlzheimersSociety.
✨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 AlzheimersSociety.
We think you need these skills to ace Data Analyst - 24 months FTC
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at AlzheimersSociety, 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 AlzheimersSociety, 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 AlzheimersSociety’s attention and show the tangible impact of your work.
How to prepare for a job interview at AlzheimersSociety
✨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 AlzheimersSociety.
✨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 AlzheimersSociety.
✨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 AlzheimersSociety.
