Data Analyst in London

Data Analyst in London

London Full-Time 40000 - 50000 € / year (est.) No home office possible
OLIVER Agency

At a Glance

  • Tasks: Analyse data to drive marketing and sales performance insights using cutting-edge AI technology.
  • Company: Join OLIVER, a pioneering agency transforming marketing with bespoke solutions and advanced analytics.
  • Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a diverse team committed to sustainability and innovation in the marketing landscape.
  • Why this job: Make a real impact by leveraging data to enhance customer experiences and drive business success.
  • Qualifications: Experience in data analysis, proficiency in SQL, and a passion for data-driven decision-making.

The predicted salary is between 40000 - 50000 € per year.

Established in 2004, OLIVER is the world’s first and only specialist in designing, building, and running bespoke in-house agencies and marketing ecosystems for brands. We partner with over 300 clients in 40+ countries and counting. Our unique model drives creativity and efficiency, allowing us to deliver tailored solutions that resonate deeply with audiences. As a part of The Brandtech Group, we're at the forefront of leveraging cutting-edge AI technology to revolutionise how we create and deliver work. Our AI solutions enhance efficiency, spark creativity, and drive insightful decision-making, empowering our teams to produce innovative and impactful results.

We are now looking for a skilled Data Analyst to join our onsite team supporting in London.

About the Role

As the Data Analyst, you will be responsible for delivering insight that drives improvements across the full commercial ecosystem spanning customer experience on, retailer investment effectiveness, marketing and sales performance, and the broader post-purchase, onboarding and promotional landscape. A core part of your remit will be the design, build and ongoing management of a marketing and sales performance dashboard, underpinned by Google BigQuery and delivered in Looker Studio. This will serve as a critical decision-making tool for marketing, e-commerce, retail and CX teams surfacing insight such as campaign uplift, halo effects, retailer investment impact and share performance across products and markets.

Alongside this, you will analyse customer journeys, benchmark competitors, oversee content performance and support the planning and execution of onboarding and e-commerce promotions using platforms like GWI to create digital personas and audience profiles. You will collaborate closely with CX, marketing, product and e-commerce teams as well as HQ and local market stakeholders to ensure insight informs decisions at every stage. This role requires strong analytical capability, expertise in data modelling and SQL, and the ability to translate complex commercial questions into dashboard logic and actionable recommendations.

What You Will Be Doing

  • Marketing & Sales Performance Analytics
    • Design, build and maintain a marketing and sales performance dashboard in Looker Studio, underpinned by BigQuery, combining sell-out sales data, market volume and share data, and campaign activity logs.
    • Define the underlying data model, transform source files and design the reporting layer to support consistent, scalable KPI delivery.
    • Identify and quantify the impact of retailer investment, including uplift in sales and market share during campaign periods.
    • Analyse correlations between campaign activity and commercial performance to determine which marketing levers are most effective.
    • Measure and report on halo effects across products and retailers resulting from promotional and campaign activity.
    • Define and calculate key performance metrics including uplift, baseline, market share, activity intensity and halo effects.
    • Work with GFK or other syndicated market data sources to enrich performance analysis with market volume and share context.
  • Customer Experience & Digital Analytics
    • Conduct analysis of the current customer experience, including user behaviour, content and campaign performance and conversion pathways.
    • Benchmark key customer journeys against competitor websites to identify gaps and opportunities.
    • Provide regular insight into paid promotions, post-purchase experience and customer satisfaction trends.
    • Support planning, optimisation and operational management of post-purchase and onboarding experience.
    • Analyse content utilisation, engagement and drop-off points, and recommend enhancements.
    • Collaborate with HQ and local teams on onboarding content production and implementation.
    • Support feature management including evaluation, testing performance and monitoring adoption, with ongoing analysis of content effectiveness and customer experience updates.
  • Reporting, Dashboards & Stakeholder Insight
    • Build and maintain dashboards, reports and ad hoc analyses across customer experience, onboarding, e-commerce, retail performance and promotion activity.
    • Translate data into clear insights that guide decision-making within marketing, CX, digital and commercial teams.
    • Present findings clearly to stakeholders at all levels, ensuring insight is embedded in planning and operational processes.
    • Use platforms like GWI to build digital personas and audience profiles that support broader marketing planning.

What You Need to Be Great in This Role

Essential

  • Proven experience as a data or insight analyst within digital, e-commerce, retail, marketing or agency environments.
  • Strong proficiency in Google BigQuery and advanced SQL, including data modelling and reporting layer design.
  • Hands-on experience building dashboards in Looker Studio, with a clear understanding of how to structure underlying data models for robust, scalable dashboard performance.
  • Demonstrable experience combining sell-out sales, market share and campaign activity datasets to generate commercial insight.
  • Ability to define and calculate metrics including uplift, baseline, market share, activity intensity and halo effects.
  • Strong marketing analytics capability, including campaign effectiveness measurement across paid and promotional channels.
  • Good understanding of digital customer journeys, content performance metrics and e-commerce KPIs.
  • Experience with analytics platforms such as Google Analytics GA4, Adobe Analytics or similar.
  • Excellent communication and storytelling ability — capable of translating complex business questions into dashboard logic and presenting findings clearly to non-technical audiences.
  • Experience working with multi-market teams and managing stakeholder expectations across business functions.
  • A passion for data-driven decision-making and an interest in how AI can enhance analytics workflows.

Preferred:

  • Proficiency in Python (pandas) for data transformation, automation and workflow scripting.
  • Broader experience with Google Cloud Platform (GCP), including automating data ingestion and transformation workflows.
  • Experience working in retail, e-commerce or retailer media environments.
  • Familiarity with GfK or other syndicated market data sources.
  • Experience with additional BI tools such as Tableau or Power BI.

Our Values

  • Be Ambitious to succeed
  • Be Imaginative to push the boundaries of what's possible
  • Be Inspirational to do groundbreaking work
  • Be always learning and listening to understand
  • Be Results-focused to exceed expectations
  • Be actively pro-inclusive and anti-racist across our community, clients and creations

INSIDE IDEAS GROUP, a part of the Brandtech Group, is an equal opportunity employer committed to creating an inclusive working environment where all employees are encouraged to reach their full potential, and individual differences are valued and respected. All applicants shall be considered for employment without regard to race, ethnicity, religion, gender, sexual orientation, gender identity, age, neurodivergence, disability status, or any other characteristic protected by local laws.

OLIVER has set ambitious environmental goals around sustainability, with science-based emissions reduction targets. Collectively, we work towards our mission, embedding sustainability into every department and through every stage of the project lifecycle.

Data Analyst in London employer: OLIVER Agency

At OLIVER, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters creativity and innovation in the heart of London. Our commitment to employee growth is evident through our focus on continuous learning and collaboration across diverse teams, while our pioneering use of AI technology empowers you to make impactful decisions that drive real results. Join us to be part of a forward-thinking organisation that values inclusivity and sustainability, ensuring that every team member can thrive and contribute to meaningful projects.

OLIVER Agency

Contact Detail:

OLIVER Agency Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst in London

Tip Number 1

Network like a pro! Reach out to current employees at OLIVER or similar companies on LinkedIn. Ask them about their experiences and any tips they might have for landing a role as a Data Analyst. You never know who might put in a good word for you!

Tip Number 2

Prepare for the interview by brushing up on your SQL and data modelling skills. Be ready to showcase how you've used these skills in past projects. Practice explaining complex data insights in simple terms, as you'll need to communicate effectively with non-technical stakeholders.

Tip Number 3

Showcase your passion for AI and data-driven decision-making! During interviews, share examples of how you've leveraged technology to enhance analytics workflows. This will resonate well with OLIVER's focus on cutting-edge AI solutions.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team at OLIVER and being part of their innovative journey.

We think you need these skills to ace Data Analyst in London

Data Analysis
Google BigQuery
SQL
Looker Studio
Dashboard Design
Data Modelling
Marketing Analytics

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with Google BigQuery, SQL, and dashboard creation in Looker Studio. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data-driven decision-making and how you can contribute to our innovative team. Let us know why you're excited about working with AI and analytics.

Showcase Your Analytical Skills:In your application, provide examples of how you've used data to drive insights and improve performance. We love seeing real-world applications of your analytical capabilities, so don't hold back!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at OLIVER Agency

Know Your Data Tools

Make sure you're well-versed in Google BigQuery and SQL. Brush up on how to design data models and build dashboards in Looker Studio. Being able to talk confidently about your experience with these tools will show that you're ready to hit the ground running.

Showcase Your Analytical Skills

Prepare examples of how you've used data to drive decision-making in previous roles. Be ready to discuss specific metrics you've calculated, like uplift or market share, and how those insights impacted business outcomes. This will demonstrate your analytical prowess.

Understand the Customer Journey

Familiarise yourself with digital customer journeys and e-commerce KPIs. Be prepared to discuss how you would analyse customer behaviour and content performance. Showing that you can connect data insights to real-world applications will impress your interviewers.

Communicate Clearly

Practice explaining complex data concepts in simple terms. You might be asked to present findings to non-technical stakeholders, so being able to tell a compelling story with your data is crucial. Think about how you can make your insights relatable and actionable.