At a Glance
- Tasks: Explore complex problems and generate insights to drive innovation and social impact.
- Company: Join Elevate Great, a mission-driven organisation focused on reducing inequality.
- Benefits: Competitive salary, 40 days annual leave, and flexible working arrangements.
- Other info: Opportunity for personal growth in a supportive and values-driven environment.
- Why this job: Make a real difference while collaborating with diverse teams on meaningful projects.
- Qualifications: Experience in insight generation and strong analytical skills in R and Python.
The predicted salary is between 32000 - 37000 £ per year.
We are looking for a thoughtful, curious, and collaborative individual to join our team on a 12-month fixed-term contract as an Insight Analyst. This role is ideal for someone who enjoys exploring complex problems, identifying opportunities, synthesising insights, and working across multidisciplinary teams to support innovation and impact.
Role Purpose
As an Insight Analyst, you will help identify emerging opportunities, unmet needs, and areas for innovation across our work. You will conduct exploratory research and analysis (using qualitative and quantitative approaches), ecosystem mapping, stakeholder engagement, and insight generation to help teams better understand challenges and opportunities. You will work independently while collaborating closely with colleagues, partners, and stakeholders across a matrix environment.
We are looking for someone who can interpret complex information and frame problems thoughtfully; apply analytical thinking and rigour to identify relevant focus areas for Elevate Great; generate meaningful insights that support decision-making and innovation; and communicate insights effectively to a technical and non-technical audience.
As an Insight Analyst, you will be expected to identify root causes, underlying drivers, opportunities from reported evidence, and distinguish insight from information. You will use judgement and understand diverse stakeholder needs to create suitable outputs that clearly communicate the strength of insights and secure buy-in from leadership.
Key Responsibilities
- Conduct exploratory research across social impact, innovation, technology, policy, healthcare, education, and related sectors.
- Identify emerging trends, opportunities, and unmet needs using qualitative and quantitative methods.
- Synthesise qualitative and quantitative information into actionable insights.
- Translate research findings into clear, engaging outputs (reports, briefs, and recommendations) as needed.
- Support teams in framing complex challenges and identifying innovation opportunities.
- Conduct ecosystem and stakeholder mapping.
- Contribute to early-stage concept exploration and opportunity development.
- Help connect ideas and insights across different projects and workstreams.
Stakeholder Engagement & Collaboration
- Engage with internal and external stakeholders to gather perspectives and insights.
- Build trusted working relationships across teams and partners.
- Facilitate conversations, workshops, and discovery activities where appropriate.
- Work effectively within a collaborative matrix environment.
Ways of Working
- Bring curiosity, empathy, integrity, and sound judgement to your work.
- Work independently while remaining collaborative and open-minded.
- Navigate ambiguity with a proactive and thoughtful approach.
- Contribute positively to team culture and ways of working.
What We’re Looking For
- Experience in insight generation, strategic analysis, social impact, innovation research or related fields.
- Strong mathematical foundations and quantitative research experience in econometrics, optimisation, predictive modelling using large datasets, or impact evaluation.
- Knowledge and experience of using appropriate qualitative research methods.
- Ability to analyse research findings and synthesise insights into suitable outputs based on stakeholder needs.
- Strong creative reasoning and critical thinking skills.
- Ability to identify patterns, opportunities, and emerging themes from complex information.
- Excellent written and verbal communication skills.
- Comfortable working across multiple stakeholders and priorities.
- Experience working in collaborative or matrix environments.
We invest in our people and believe in developing talent. While we're looking for candidates with strong foundations, curiosity, and motivation, we’re committed to helping the right person build their skills and grow with us.
Personal Qualities
- Curious and thoughtful.
- Kind, empathetic, and emotionally intelligent.
- High integrity and sound judgement.
- Collaborative and low ego.
- Comfortable with ambiguity and exploration.
- Motivated by meaningful social impact.
What good looks like
A strong Insights Analyst helps the team make better decisions through their analysis and recommendations. Good performance means that recommendations are grounded in thorough analysis, aligned with organisational requirements, and provide strategic direction for project and programme decision-making. Colleagues receive actionable insights to inform programme design, and leadership gains a clear understanding of knowledge gaps. Success is measured by insights improving problem definition, strategic decisions, and innovation choices.
Why Join Us
At Elevate Great, you’ll have the opportunity to contribute to meaningful work focused on reducing inequality and changing systemic conditions in the UK. You’ll work with thoughtful colleagues across disciplines and help shape ideas, opportunities, and initiatives in a collaborative and values-driven environment. We welcome candidates from diverse and non-linear career paths who bring curiosity, empathy, and a genuine commitment to meaningful work.
Compensation and benefits
Salary range: [£32,000 - £37,000 depending on experience] (1.0 FTE) 40 days annual leave (including public holidays) Flexibility of responsibilities.
This job description sets out the main purpose, accountabilities and expectations of the role. It is not intended to be exhaustive. Responsibilities may evolve over time in line with organisational priorities, programme needs and the development of Elevate Great’s operating model.
Location and working pattern
This role is based in Edinburgh, with hybrid working in line with Elevate Great’s organisational approach.
Deadline for applications: Friday 24th July 2026, 12 noon.
Insight Analyst employer: Elevate Great
At Elevate Great, we pride ourselves on being an exceptional employer that fosters a collaborative and values-driven work culture. As an Insight Analyst in Edinburgh, you will not only have the chance to contribute to meaningful social impact but also benefit from extensive professional development opportunities, generous annual leave, and a supportive environment that encourages curiosity and innovation. Join us to work alongside passionate colleagues dedicated to reducing inequality and shaping positive change in the UK.
StudySmarter Expert Advice🤫
We think this is how you could land Insight Analyst
✨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 Elevate Great 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
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✨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 Elevate Great.
We think you need these skills to ace Insight Analyst
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Elevate Great, 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 Elevate Great, 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 Elevate Great’s attention and show the tangible impact of your work.
How to prepare for a job interview at Elevate Great
✨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 Elevate Great.
✨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 Elevate Great.
✨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 Elevate Great.
