GAIN Customer Science – Data Analyst at This is Gain Ltd – United Kingdom(Hybrid)

Job Description

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.

This is where rebel thinking, smart technology, and data-driven creativity shape the future.

Through our five specialist teams: Creative Studio, Conversion, Customer Science, Experience and Performance. Individually, and together, we work to fuel your growth and deliver measurable impact.

The purpose of the Data Analyst role is to deliver timely, insightful, and actionable analysis that supports our clients’ objectives. This role assists in the preparation and interrogation of clients’ data to help deliver solutions that meet the project’s agreed objectives. The provision of accurate analysis is paramount within this role, and therefore, the focus is on developing a deep understanding of our clients’ customer data.

RESPONSIBILITIES

·      Creation of ad-hoc analysis for clients, agreeing on 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, before 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 preferred

·      Data manipulation: experience in analysing large volumes of data and a solid understanding of database principles and efficiencies are 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