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- Tasks: Analyse player data to uncover trends and drive commercial success.
- Company: Fast-growing digital business in the gaming and consumer services sector.
- Benefits: Competitive salary, bonus scheme, private medical cover, and wellness allowance.
- Other info: Flexible working environment with opportunities for personal growth and innovation.
- Why this job: Shape customer engagement and make a real impact through data-driven insights.
- Qualifications: Strong data analytics background with advanced SQL and Python skills.
The predicted salary is between 50000 - 65000 £ per year.
A fast-growing digital business at the heart of one of the UK’s most recognised consumer platforms is looking for a Senior Data Analyst to help shape customer engagement and commercial performance through insight-led decision making. This is a role for someone who enjoys digging into complex data, spotting opportunities early, and influencing what happens next.
Role Overview:
- Location: Hybrid / Hertfordshire
- Package: Competitive salary + bonus + strong benefits package
- Industry: Digital / Gaming / Consumer Services
What You’ll Be Doing:
- Delivering deep-dive player and customer analysis to uncover behavioural trends and commercial opportunities
- Building customer cohorts and segmentation models to improve targeting, engagement and retention
- Combining transactional, behavioural and digital journey data to create a clear picture of customer activity
- Supporting marketing, product and commercial teams with insight-driven recommendations
- Evaluating the impact and value of new product ideas, campaigns and optimisation initiatives
- Designing and measuring experiments within a test-and-learn environment
- Challenging assumptions and supporting senior stakeholders with evidence-backed analysis
- Turning complex and unstructured questions into clear recommendations and actionable insights
- Helping shape how analytics supports wider digital and commercial strategy
Main Skills Needed:
- Strong background in data analytics within gaming, e-commerce, fintech or another fast-paced digital environment
- Advanced SQL skills with experience handling and analysing large datasets
- Experience using Python or R for advanced analytics and modelling
- Proven expertise in segmentation, clustering and cohort analysis
- Familiarity with digital analytics and experimentation tools such as Adobe Analytics, Google Analytics, Piano or Quantum Metric
- Experience building dashboards and visualisations using tools like Power BI, Tableau or Looker
- Strong commercial mindset with the ability to identify measurable business impact
- Confident communicator who can influence stakeholders through clear storytelling and insight
- Comfortable working independently, managing ambiguity and solving new problems proactively
What’s in It for You:
- Company bonus scheme
- Matched pension contributions up to 8.5%
- 26 days annual leave plus additional wellbeing days
- Private medical cover and life assurance
- Enhanced parental leave policies
- £500 wellness allowance
- Access to personal trainers, nutritional advice and discounted health assessments
- Financial coaching support
- Flexible and inclusive working environment
- Opportunity to join a major transformation programme with genuine long-term impact
- A culture focused on innovation, inclusion, sustainability and personal growth
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Senior Data Analyst employer: Addition+
Contact Detail:
Addition+ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your skills effectively.
✨Tip Number 3
Showcase your analytical skills with a portfolio! Create a few case studies or projects that highlight your experience with SQL, Python, or any tools you've used. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Senior Data Analyst role. Highlight your experience with data analytics, SQL, and any relevant tools like Power BI or Tableau. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analysis and how you can contribute to our team. Be sure to mention specific projects or achievements that showcase your expertise.
Showcase Your Analytical Skills: In your application, don’t just list your skills—demonstrate them! Share examples of how you've turned complex data into actionable insights or influenced decision-making in previous roles. We love seeing real-world applications of your talents.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates. Plus, it’s super easy—just a few clicks and you’re done!
How to prepare for a job interview at Addition+
✨Know Your Data Inside Out
As a Senior Data Analyst, you'll be expected to dive deep into complex datasets. Make sure you brush up on your SQL skills and be ready to discuss specific examples of how you've used data to uncover trends or drive decisions in previous roles.
✨Showcase Your Analytical Tools
Familiarity with tools like Python, R, and visualisation software is key. Prepare to talk about your experience with these tools, perhaps by sharing a project where you built a dashboard or conducted an experiment that led to actionable insights.
✨Communicate Clearly and Confidently
You’ll need to influence stakeholders with your findings, so practice telling a compelling story with your data. Think about how you can present complex information in a straightforward way that highlights the business impact of your analysis.
✨Prepare for Scenario Questions
Expect to face questions that challenge your problem-solving skills. Be ready to discuss how you would approach ambiguous situations or evaluate the success of a new product idea. Use the STAR method (Situation, Task, Action, Result) to structure your responses.