At a Glance
- Tasks: Join a dynamic team to analyse data for top global brands and drive innovation.
- Company: Gain Theory, a leading marketing effectiveness consultancy with a people-centric culture.
- Benefits: Flexible work options, brilliant benefits, and opportunities for personal growth.
- Why this job: Make a real impact by transforming data into actionable insights for ambitious brands.
- Qualifications: Proficient in SQL, Python, and data analysis; mentorship experience is a plus.
- Other info: Be part of a diverse and inclusive workplace that values your contributions.
The predicted salary is between 28800 - 48000 £ per year.
The opportunity: As a Principal Data Analyst, you will join the Gain Theory Data Practice and be embedded within one of our client-focused squads. Working closely with your manager, you'll collaborate on some of the world's top brands, gaining hands-on experience with diverse data sources—including media, client-specific, Gain Theory proprietary, sales, and more.
In this role, you'll be part of a team that processes and organizes data in preparation for modeling. You'll face exciting challenges and have opportunities to drive innovation and automation across workflows.
As a Principal Data Analyst, you will apply data processing techniques such as SQL, ETL and Python alongside our internal automation tools, to manage, clean, and transform data through efficient pipelines. You'll also run rigorous data quality assurance processes—ensuring data integrity, which is the foundation of all our work. Additionally, you'll collaborate with the Data Manager to coordinate with client and agency partners, maintaining the continuous flow of data from key sources. Beyond your squad, you'll engage with the wider Gain Theory data community, including the DCOE, to share best practices and both provide and receive support. The Principal Data Analyst will also mentor and support junior analysts on their projects, helping them learn processes, best practices, and specific tools used by Gain Theory.
At Gain Theory, our teams combine cutting-edge data engineering, advanced analytics, unified measurement solutions, and enterprise-scale platforms to build products that will shape the next decade of faster, smarter, data-informed decision-making. We are committed to ensuring consumer privacy, safeguarding client confidentiality, driving brand growth, and delivering exceptional user experiences.
Data Management & Analysis- Manage data extraction, manipulation, validation, and interrogation using SQL, Python, and other relevant tools.
- Build data QA insights relevant to the project.
- Ensure that all data is systematically checked and passes all QA steps.
- Build and maintain data ingestion and transformation pipelines using all the tools that Gain Theory has at your disposal.
- Build data ingestion and transformation pipelines using available tools, including Python scripting for data processing and automation.
- Work with fellow data analysts to build scalable solutions using ETL/ELT pipelines.
- Propose better approaches to help improve internal procedures including new methodology, etc.
- Share techniques and ideas with the wider data community.
- Initiate and engage with internal project meetings, ensuring there is an agenda.
- Ensure that project meeting action points are collated and shared with the team.
- Guide and support junior analysts, providing training on tools and best practices.
What we want from you:
- Comfortable working with large amounts of data in a cloud ecosystem.
- Proficient with SQL and ETL processes, and experience driving robust QA processes.
- Experience with data interrogation, cleaning, and processing using Python.
- Snowflake experience is a plus.
- Experience with data manipulation/visualization tools (e.g., Excel, Tableau).
- R experience is a plus.
- Extreme attention to detail is a must.
- Understanding or experience of business marketing and media is a plus.
- Strong interpersonal and communication skills (written and oral).
- Team-oriented attitude.
- Capacity to learn new skills and master new tools.
- Ability and desire to lead junior team members through mentorship and example setting.
- Can lead requirements gathering, project planning, and implementation of projects developed with DCOE leads.
- Has project management skills including planning tasks and deliverables, managing timelines and risks, managing team resource allocation, and overseeing multiple simultaneous projects.
- Ability to manage and motivate Gain Theory team members and to teach concepts or technologies that are developed.
- Organized, detail-oriented, QA-focused.
- Experience with DBT is highly valuable.
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.
What we pride ourselves on:
- Growth and development
- Meaningful work
- Flexible by design
- Brilliant benefits
- Culture with Heart
Our exceptional and skilled team defines Gain Theory. That's why we seek individuals who strive for excellence and continually challenge us to improve.
What we do:
Gain Theory is a global marketing effectiveness and foresight consultancy. Our vision is to accelerate growth for ambitious brands by giving clients the confidence to make better data-informed investment decisions. High-touch consultancy powered by unique partnerships and proprietary technology are used to power our award-winning solutions.
Who we are:
We are a people-centric organisation whose culture is underpinned by 4 important values:
- Be Curious
- Be Positive
- Make it Better
- Act with Consideration
WPP (Gain Theory) is an equal-opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
Gain Theory is a WPP-owned consultancy.
Principal Data Analyst in London employer: Gain Theory
Contact Detail:
Gain Theory Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Analyst in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Gain Theory. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your experiences with SQL, Python, and any cool projects you've worked on. Let them see how you can add value to their team.
✨Ask Smart Questions
During interviews, come prepared with insightful questions about the role and the company. This shows you're genuinely interested and have done your homework. Plus, it gives you a chance to assess if Gain Theory is the right fit for you!
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Gain Theory team.
We think you need these skills to ace Principal Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal Data Analyst role. Highlight your experience with SQL, Python, and data QA processes. We want to see how your skills align with what we do at Gain Theory!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data analysis and how you can contribute to our team. Don’t forget to mention any relevant projects or experiences that showcase your skills.
Showcase Your Attention to Detail: As a Principal Data Analyst, attention to detail is key. Use your application to demonstrate this—proofread for typos and ensure your formatting is consistent. We appreciate candidates who take pride in their work!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the Gain Theory team!
How to prepare for a job interview at Gain Theory
✨Know Your Data Tools
Make sure you brush up on your SQL, ETL processes, and Python skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Attention to Detail
As a Principal Data Analyst, attention to detail is crucial. Prepare examples that highlight your data quality assurance processes and how you've ensured data integrity in past projects. This will demonstrate your commitment to high standards.
✨Engage with the Team Spirit
Gain Theory values collaboration, so be prepared to talk about how you've worked within teams in the past. Share experiences where you mentored junior analysts or contributed to team projects, showcasing your interpersonal skills and team-oriented attitude.
✨Be Curious and Proactive
Demonstrate your curiosity by asking insightful questions about Gain Theory's data practices and methodologies. Show that you're not just looking for a job, but are genuinely interested in contributing to their innovative approach to data analysis.