GamCare
Senior Data Analyst
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior Data Analyst
Full time
Permanent
Salary: National: £42,450. London: £46,185
Hybrid: minimum of 8 days a month in London office
Are you an experienced Data Analyst who can turn complex information into clear, actionable insight?
This is an exciting opportunity to play a leading role in how GamCare uses data to understand performance, improve services and support evidence-based decision-making that will help make a difference to the lives of people affected by gambling-related harms.
Working across our services, you will:
- Analyse complex datasets, identify trends and opportunities, and translate your findings into meaningful recommendations.
- Develop and maintain datasets, dashboards and reports, helping colleagues monitor performance, understand outcomes and demonstrate the impact of our work.
- Review and improve the systems and processes that support service delivery, ensuring data is accurate, consistent and reliable.
- Develop automated solutions, improve reporting processes and work closely with colleagues across service, data and IT teams to help them access, understand and use data effectively.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
About You
To succeed in this role, you will need:
- Advanced experience of Power BI, including semantic models, star schemas, DAX, calculated columns, hierarchies and performance optimisation.
- Proficiency in Power Query Editor and M Language, with experience of Power BI datasets, dataflows, semantic layers and SQL for querying, transforming, testing and validating data from multiple sources.
- Experience from an analytical or data-focused role, working with large and complex datasets to produce reports, insights and recommendations.
- Strong analytical, problem-solving and communication skills.
- Excellent attention to detail, knowledge of data governance and GDPR.
- Experience of handling sensitive data.
- The ability to manage competing priorities, collaborate effectively and identify improvements to systems and processes.
Working at GamCare
Founded in 1997, GamCare is one of the leading providers of information, advice and support for anyone affected by gambling harms. We operate the National Gambling Helpline, provide treatment for anyone who is harmed by gambling, create awareness about safer gambling and treatment, and encourage an effective approach to safer gambling within the gambling industry.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Staff benefits we can offer you:
- 33 days basic annual leave entitlement per annum (pro-rated for part-time colleagues) including bank holidays which increases with service
- A generous pension scheme - we contribute 6% and you contribute 2%
- Discretionary company sick pay from day one of service
- Employee assistance programme – 24-hour support
The closing date for applications is 6 August 2026.
Interviews will take place in-person during the week commencing 10 August 2026.
GamCare is committed to offering the best support to people affected by gambling harms, as such we welcome applications from candidates with lived experience.
GamCare is an equal opportunities employer and doesn’t discriminate based on race, religion, gender, age, sexuality, gender identification, or physical ability. We are only able to facilitate visa sponsorship in very limited circumstances, so candidates outside of the UK or who don’t have the right to work in the UK need not apply.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location