At a Glance
- Tasks: Conduct research and analysis to generate data-driven insights for impactful health and social science projects.
- Company: Join Analytics for Change, a leading research services agency focused on positive global impact.
- Benefits: Enjoy hybrid working, competitive pay, and clear progression into leadership roles.
- Why this job: Make a real difference by translating complex data into actionable insights that drive change.
- Qualifications: MSc in Data Analytics or related field; experience in statistical analysis and data management required.
- Other info: Collaborative culture with opportunities for professional development and growth.
The predicted salary is between 30000 - 42000 £ per year.
Analytics for Change is an established research services agency which supports organizations in their research initiatives. We mainly specialize in health and social sciences, and our partners are universities, charitable organizations and industry partners. We believe that rigorous and robust scientific approaches should be the standard for driving positive impact in the world.
This is a part-time hybrid role for an Evidence and Insight Analyst located in the London Area, United Kingdom, with some work-from-home flexibility. The role involves conducting research and analysis to generate data-driven insights and providing actionable recommendations. The analyst will collaborate closely with teams to interpret data, produce reports, and present findings to stakeholders to drive impactful outcomes across various initiatives.
Key responsibilities:- Support the design and data analysis in a number of projects on health and social sciences, including the development of reports for use across the organisation.
- Conduct statistical analysis to identify patterns, trends, relationships, and gaps within data, contributing to evidence-based insights that support our strategic objectives.
- Translate complex data into clear, actionable insights and stories that can be communicated effectively to both technical and non-technical stakeholders.
- Support with data collection and work with external stakeholders, including health and social care organisations, multidisciplinary healthcare professionals, academic researchers, and charities.
- Conduct rapid desk reviews which include reports, scientific literature and other sources, and provide summary reports in agile frameworks.
- Contribute to grant writing and administrative operations and documentation, including the potential integration and utilisation of CRM systems, ensuring that data management is streamlined and effective.
- MSc level in Data Analytics, Statistics, Public Health, Epidemiology or Psychology and research experience in research in health and social science (PhD preferred).
- Advance proficiency in data management, manipulation, and analysis, using tools such as Excel, SQL, Power BI, SPSS, R or similar.
- Experience conducting statistical analyses such as regression and hypothesis testing to support evidence-based insights.
- Experience conducting machine learning techniques such as LASSO regression models, supervised and unsupervised machine learning techniques.
- Experience with large population datasets which may include sensitive data.
- Skilled in identifying patterns, trends, relationships and gaps within survey and population data, and other complex datasets, with a focus on deriving actionable insights and support data-driven decision-making.
- Experience conducting literature reviews and gathering rapid understanding of theoretical frameworks.
- Able to translate complex data into easy-to-understand visualisations, dashboards, and stories that can be used in external reports and internal presentations.
- Awareness of data protection and privacy regulations (e.g. GDPR).
- Ability to work collaboratively with others and comfortable working in a fast-paced, purpose-driven environment with shifting priorities.
- ONS Accredited Researcher or SRT (Safe Researcher Training) approved by UKDS.
- Experience in survey design and using platforms such as Qualtrics.
- Experience in conducting social or behavioural analysis using methods such as interviews, ethnography, or case studies to explore human behaviour, social patterns, or cultural trends.
- Experience using large language models for data identification, extraction and synthesis.
- Proactive mindset, with a focus on understanding behaviours and motivations, and a creative approach to exploring data.
- Calm, consistent, and flexible approach to work.
- Problem solver and positive attitude.
- Commitment to professional development.
- Commitment to the values and strategic aims of Analytics for Change.
- Commitment to equality, diversity and inclusion.
- Proficient in managing multiple projects simultaneously.
We are looking for individuals who are curious, strategic thinkers with a commercial perspective driven by an understanding of client experiences and broader research environment. You should have strong analytical skills and the ability to present insights to clients. A collaborative mindset is essential, as you will play a vital role in responding to emerging issues and work in partnership in multiple projects.
Why Join?- Clear progression into a leadership role and potential extension to full time.
- Hybrid working and a collaborative, people-first culture.
- Opportunities to drive real positive impact.
Evidence and Insight Analyst employer: Analytics for Change
Contact Detail:
Analytics for Change Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Evidence and Insight Analyst
✨Tip Number 1
Network like a pro! Reach out to professionals in the health and social sciences field on LinkedIn or at local events. We can’t stress enough how valuable personal connections can be in landing that Evidence and Insight Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using tools like SQL or R. We want to see how you translate complex data into actionable insights, so make it visually appealing and easy to understand.
✨Tip Number 3
Prepare for interviews by brushing up on common statistical methods and machine learning techniques. We recommend practising how to explain these concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search and genuinely interested in making a positive impact.
We think you need these skills to ace Evidence and Insight Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Evidence and Insight Analyst role. Highlight your relevant experience in data analysis, research, and any specific tools mentioned in the job description. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about health and social sciences and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Analytical Skills: In your application, be sure to showcase your analytical skills and any experience with statistical analysis or machine learning techniques. We’re keen on seeing how you can translate complex data into actionable insights, so don’t hold back on sharing examples!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re proactive and ready to take the next step in joining our team!
How to prepare for a job interview at Analytics for Change
✨Know Your Data Tools
Make sure you’re familiar with the tools mentioned in the job description, like Excel, SQL, and R. Brush up on your statistical analysis skills and be ready to discuss how you've used these tools in past projects.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse data sets. Think of examples from your experience where you identified trends or provided actionable insights, and be ready to explain your thought process.
✨Showcase Your Communication Skills
Since you'll need to translate complex data into clear insights, practice explaining your past projects to someone without a technical background. This will demonstrate your ability to communicate effectively with both technical and non-technical stakeholders.
✨Research the Organisation
Familiarise yourself with Analytics for Change and their mission. Understand their focus on health and social sciences, and think about how your skills can contribute to their goals. This shows genuine interest and helps you align your answers with their values.