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For Companies At a Glance
- Tasks: Analyse data to uncover trends and drive customer engagement.
- Company: Fast-growing digital business at a leading UK consumer platform.
- Benefits: Competitive salary, bonus, 26 days leave, wellness allowance, and private medical cover.
- Other info: Join a culture of innovation and personal growth in a flexible work environment.
- Why this job: Shape customer experiences and influence commercial strategies with your insights.
- Qualifications: Strong data analytics background and advanced SQL skills required.
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
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 in England employer: Addition+
Contact Detail:
Addition+ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Analyst role.
✨Tip Number 2
Prepare for those interviews by practising your storytelling skills. We want you to showcase your analytical prowess and how you've turned complex data into actionable insights. Remember, it’s all about making your experience relatable to the role!
✨Tip Number 3
Don’t shy away from showcasing your projects! Whether it’s a dashboard you built or an analysis that led to significant business impact, we encourage you to bring these examples to the table during discussions. It’s your chance to shine!
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it gives you a better chance to stand out and show us why you’re the perfect fit for our team.
We think you need these skills to ace Senior Data Analyst in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience with data analytics, SQL, and any relevant tools like Python or R. 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 tell us why you’re passionate about data analysis and how you can contribute to our team. Don’t forget to mention specific projects or achievements that showcase your expertise.
Showcase Your Analytical Skills: In your application, give examples of how you've turned complex data into actionable insights. We love candidates who can demonstrate their ability to influence decisions through evidence-backed analysis, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Addition+
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and experiences with data analytics. Be ready to discuss specific examples where you uncovered insights or influenced decisions. This will show your passion for data and your ability to turn complex information into actionable recommendations.
✨Brush Up on Technical Skills
Make sure you're comfortable with SQL, Python, or R, as these are crucial for the role. Prepare to demonstrate your skills through practical examples or even a mini-test if asked. Familiarity with tools like Power BI or Tableau can also give you an edge, so have some visualisation examples ready to share.
✨Understand the Business Context
Research the company’s market position and their customer engagement strategies. Being able to discuss how your analytical skills can directly impact their commercial performance will impress the interviewers. Show that you’re not just a data whiz but also someone who understands the bigger picture.
✨Communicate Clearly and Confidently
Practice your storytelling skills! You’ll need to explain complex data insights in a way that resonates with stakeholders. Use clear, concise language and be prepared to answer questions about your thought process. Confidence in your communication can make a huge difference in how your insights are received.