Analyst - Data

**Job Title: Analyst - Data**

**About Gain Theory**

Gain Theory is part of WPP, a creative transformation company that uses the power of creativity to build better futures for its people, planet, clients, and communities.

Gain Theory is a global marketing effectiveness consultancy, that uses data and analytics to deliver successful business outcomes for clients. Our vision is to inspire marketing excellence by helping marketers focus on the right data, not 'big data', asking and answering the questions that drive business value. We pair consultancy and technology to foster a data-informed culture that helps to drive sustainable business growth.

**What's the Vision?**

Gain Theory's vision is to accelerate growth for ambitious brands and our mission is to deliver this growth by empowering smarter, faster, data-informed cultures.

What you'll do

**The Role: What will I do?**

As a Data Analyst / Data Engineer, you will support data-driven decision-making by collecting, cleaning, and analysing data from various sources. You will also assist in creating reports, dashboards, and visualisations to communicate insights effectively. This role provides an opportunity to learn and develop your data analysis skills while contributing to the team's success.

The Data Analyst is responsible for several areas in the data processing:
**In 3 - 6 months**
- Undertake data extraction, manipulation, formatting and analysis.
- Analyse datasets to ensure that each KPI is understood and can be explained back to the team.
- Ensure that all tables, charts and other information produced by you or others has been checked for accuracy and formatted to Gain Theory standards before passing on to senior project team.
- Provide support to more senior colleagues in data collection, including preparing and sending data requests, chasing outstanding data, and querying data with clients and agencies.

**In 6 - 12 months**
- Thoroughly understand the data infrastructure and able to handle data processing independently.
- Actively seek more efficient ways of doing things for yourself and others and turn suggestions into actions including in service and product development.
- Demonstrate flexibility and work across multiple clients/projects at a time as directed by your project manager.

**Qualifications**
- Bachelor's degree in marketing, Statistics, Computer Science, Information Science, Engineering, or related quantitative field
- Proficiency in SQL and Python is crucial for data manipulation, querying, and analysis.
- Knowledge of Tableau / Power BI tools to create clear and impactful data visualisations.
- The ability to interpret data, identify trends, and draw meaningful conclusions.
- The willingness to learn new tools and techniques as the field of data analytics evolves.

**Why work for us?**

Gain Theory is committed to actively building a diverse, equitable and inclusive workplace where everyone feels welcomed, valued and heard, and is treated with dignity and respect. As leaders and creative partners across industries, it is our responsibility to cultivate an environment reflective of our greatest asset; our people. We believe that this commitment inspires growth and delivers equitable outcomes for everyone as well as the clients and communities we serve.

Gain Theory is a WPP-owned consultancy. For more information, please visit our website and follow Gain Theory on our social channels via LinkedIn and Twitter

Gain Theory is committed to actively building a diverse, equitable and inclusive workplace where everyone feels welcomed, valued and heard, and is treated with dignity and respect. As leaders and creative partners across industries, it is our responsibility to cultivate an environment reflective of our greatest asset; our people. We believe that this commitment inspires growth and delivers equitable outcomes for everyone as well as the clients and communities we serve.

Gain Theory is a WPP-owned consultancy. For more information, please visit please visit our website and follow Gain Theory on our social channels via LinkedIn and Twitter.