Customer Science – Data Analyst at GAIN Ltd – London, England, United Kingdom
Job Description
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.
RESPONSIBILITIES
- Creation of ad-hoc analysis for clients, agreeing project objectives, scope and delivering customer trends and detailing key recommendations
- Identifying and advising on actionable recommendations based on key findings from analysis
- Create dashboards to answer key client questions within Power BI
- With the assistance of senior analysts creating predictive models utilising methods such as Logistic Regression, CHAID and Clustering techniques
- Answering quick questions using data to help guide business decisions
- Developing and maintaining strong relationships with stakeholders
- Peer review of colleague’s work, prior to delivery to clients
- Mentoring new starters
Requirements
- Advanced excel skills
- Experience working with Retail or Customer data in a commercial setting
- Experience with coding languages, SQL or Python is preferred
- Experience with visualisation software
- Exposure to technical software, Databricks, Big Query or SQL Server perfered
- Data manipulation: experience analysing large volumes of data and a solid understanding of database principles and efficiencies desirable. Ideally in SQL server or Databricks.
- Basic statistics: familiarity with averages, deviations, correlation and regression is required
- A quality first approach to work, with a strong attention to detail.
- Excellent written communication: creating clear, concise and actionable materials for the client.
- Confident oral communication: 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
Behaviours:
- A quality first approach to work, with a strong attention to detail
- Curious & Innovative
- Passionate & Driven
- Honest & Trustworthy
- Positive & Friendly
- A True Team Player
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.
