Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Deliver insightful data analysis and actionable recommendations for clients.
- Company: Creative-led, insight-driven company blending data, tech, and creativity.
- Benefits: Private medical insurance, life assurance, income protection, and discounts on various services.
- Why this job: Join a team that fuels creativity with data and shapes impactful strategies.
- Qualifications: 4+ years as a Data Analyst with strong SQL and data visualisation skills.
- Other info: Hybrid work model with opportunities for mentorship and career growth.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Business Unit: Customer Science: We help brands to get a deeper understanding of their customers and uncover opportunities for more personalised experiences.
Team: Analytics
Reporting to: Head of Analytics
Location: London/Hybrid – 2 days in office minimum
About
GAIN is a creative-led, insight-driven company that blends data, tech and creativity. We believe the best ideas emerge where intelligence and creativity unite, where insight sparks imagination, and where innovation turns possibility into progress.
The Role
The purpose of the role is to deliver insightful and actionable analysis that answers our clients’ objectives in a timely manner. With a deep knowledge of our clients’ customer data, you will deliver solutions and recommendations that meet the projects’ agreed objectives. Fostering strong relationships with clients, communicating in a way that works for them, and having them believe and trust our analysis, are pivotal aspects of the role.
Responsibilities
- Production of ad-hoc analysis for clients, agreeing project objectives, scope and delivering customer analysis and detailing key recommendations
- Identifying and advising on actionable recommendations based on key findings from analysis
- Answering quick questions using data to help guide business decisions
- Peer review of colleague’s work, prior to delivery to clients
- Present methodologies, potential solutions and results at client meetings
- Mentoring of more junior members of staff
- Work independently and with client strategy team to create accurate scopes of work for projects for our clients
- Building strong working relationships with our clients, demonstrating the analytics that has been produced and assisting with strategic decisions
- Working with clients and internal stakeholders on establishing analytics roadmaps for our clients
Qualifications
- 4+ years experience as a Data Analyst
- Strong experience using SQL to produce data analysis, within Databricks, BigQuery or SQL Server preferred
- Experience using data visualization tools; Power BI, Tableau, Looker etc
- Advanced Excel skills
- Experience working with Retail or Customer data in a commercial setting
- Data manipulation: experience analysing large volumes of data and a solid understanding of database principles and efficiencies desirable.
- Excellent communication and presentation skills: can explain complex analytical work in a logical way which can be understood by a non-analytical audience
- Capable of planning and managing own time to ensure timely delivery of projects
Outcomes
- Ad-hoc analytical projects are delivered to specification and schedule
- Quality of output and recommendations are improved
- Best practice in the team is established
- Recommendations to our clients on what to do next is improved
Measures of Success
- Accurate and timely delivery of client projects, to technical specifications and with a consistent output
- All work delivered in line with company policies around data and security
- Project deliverables are in line with the scope of the project
How You’ll Work
- Constant curiosity: You can think critically and understand the data, knowing where you need to take action. You’re analytical with the ability to investigate and resolve
- Pushing boundaries: You’ll make the most efficient use of technology, suggesting process improvements
- The power of our imagination: You’re a problem solver who goes the extra mile. You’ll know the best approach to take with clients to get results.
- Making it happen: You’re proactive and you know you can make a difference. You use your sound judgement when making decisions and you take responsibility for your decisions and actions.
- Putting people first: You’ll build effective relationships with people, internally and externally, understanding both business and client needs.
Our benefits for UK employees include:
- Private Medical Insurance
- BUPA Life Assurance
- Income protection
- Employee Assistance Programme
- Cycle to Work salary sacrifice scheme
- Tech & Wearables salary sacrifice scheme
- Octopus EV Scheme
- Discounts and deals on a range of items from hotels, holidays and hormone testing to cinema, gyms and will writing
GAIN is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity.
GAIN Customer Science - Senior Data Analyst in London employer: This is Gain Ltd
Contact Detail:
This is Gain Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GAIN Customer Science - Senior Data Analyst in London
✨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 showcasing your analytical skills. Use real-life examples from your experience to demonstrate how you've tackled data challenges and delivered insights.
✨Tip Number 3
Don’t just wait for job postings; be proactive! Research companies you admire and reach out directly. Express your interest in their work and how your skills can contribute to their goals.
✨Tip Number 4
Apply through our website for a smoother process! It shows you're genuinely interested in joining us at GAIN and helps us keep track of your application more efficiently.
We think you need these skills to ace GAIN Customer Science - Senior Data Analyst in London
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 SQL, data visualisation tools, and any relevant projects that showcase your analytical skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your skills align with our mission at GAIN. Don’t forget to mention your experience in building strong client relationships – it’s key for us!
Showcase Your Analytical Mindset: In your application, give examples of how you've tackled complex data challenges in the past. We love seeing how you think critically and push boundaries with your analytical skills. Let us know how you’ve made a difference in previous roles!
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 don’t miss out on any important updates. Plus, it shows you’re keen on joining our team at GAIN!
How to prepare for a job interview at This is Gain Ltd
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with data visualisation tools like Power BI or Tableau. Be ready to discuss how you've used these tools in past projects, as this will show your technical prowess and ability to deliver actionable insights.
✨Understand the Client's Needs
Before the interview, research GAIN and their approach to customer science. Think about how you can tailor your analysis to meet client objectives. Being able to articulate how you would build strong relationships with clients and understand their needs will set you apart.
✨Prepare for Problem-Solving Questions
Expect questions that assess your critical thinking and problem-solving abilities. Prepare examples of how you've tackled complex data challenges in the past, and be ready to explain your thought process clearly. This will demonstrate your analytical mindset and creativity.
✨Showcase Your Communication Skills
Since you'll need to present complex data in an understandable way, practice explaining your previous analyses to a non-technical audience. Highlight your experience in mentoring junior staff and peer reviewing work, as this shows your ability to communicate effectively within a team.