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- Tasks: Deliver insightful data analysis to help brands understand their customers better.
- Company: GAIN, a creative-led company blending data, tech, and creativity.
- Benefits: Private medical insurance, life assurance, cycle to work scheme, and discounts on various services.
- Why this job: Join a team that transforms data into impactful strategies for leading brands.
- Qualifications: 4+ years as a Data Analyst with strong SQL and data visualisation skills.
- Other info: Hybrid working model with opportunities for mentorship and career growth.
The predicted salary is between 36000 - 60000 £ per year.
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. We are explorers of new frontiers, shaping bold strategies that move people, brands, and businesses forward. Individually and together, our specialist teams provide the vision, data, and confidence brands and organisations need to make braver, more impactful decisions. Today as GAIN, we work as a united force, using data to fuel creativity, and technology to unlock new possibilities. As imagineers we don’t just embrace innovation - we engineer it, transforming information into action, and ideas into breakthroughs. This is where rebel thinking, smart technology, and data-driven creativity shape the future.
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
Requirements:
- 4+ years experience as a Data Analyst
- Strong experience using SQL to produce data analysis, within Databricks, Big Query 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.
Benefits: 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 employer: Gain
Contact Detail:
Gain Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GAIN Customer Science - 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 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 apply and wait! Follow up on your applications with a friendly email. It shows your enthusiasm and keeps you on their radar. Plus, it’s a great way to ask if they need any more info from you.
✨Tip Number 4
Check out our website for the latest job openings and apply directly. We love seeing candidates who are proactive and genuinely interested in joining our team at GAIN!
We think you need these skills to ace GAIN Customer Science - Senior Data Analyst
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 tell us why you're passionate about data analysis and how your skills align with our mission at GAIN. Be sure to mention your experience in retail or customer data, as it’s super relevant for this role.
Showcase Your Communication Skills: Since you'll be explaining complex data insights to clients, it's crucial to demonstrate your communication prowess. In your application, give examples of how you've successfully conveyed analytical findings to non-technical audiences. We love clear communicators!
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 Gain
✨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 the company and its clients. Think about how your analytical skills can help them achieve their objectives. Being able to articulate how you can provide value to their specific challenges will set you apart from other candidates.
✨Practice Your Presentation Skills
Since you'll need to explain complex data analyses to non-analytical audiences, practice presenting your findings clearly and concisely. Use examples from your previous work to demonstrate your ability to communicate effectively and build trust with clients.
✨Show Your Curiosity
During the interview, express your constant curiosity and willingness to push boundaries. Share examples of how you've investigated data issues or suggested process improvements in the past. This will highlight your proactive nature and problem-solving skills, which are crucial for the role.