Senior Data Analyst - Marketing Analytics & Dashboards in Weybridge

Senior Data Analyst - Marketing Analytics & Dashboards in Weybridge

Weybridge Full-Time 40000 - 50000 £ / year (est.) Home office (partial)
PVH (Tommy Hilfiger/Calvin Klein)

At a Glance

  • Tasks: Analyse data to drive marketing insights and create impactful dashboards.
  • Company: Join OLIVER, a pioneering agency transforming marketing with AI technology.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Dynamic team environment with global reach and innovative projects.
  • Why this job: Make a real impact by shaping marketing strategies with data-driven insights.
  • Qualifications: Strong analytical skills, experience in SQL, and a passion for data.

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 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, 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

  • 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.
  • 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.

Senior Data Analyst - Marketing Analytics & Dashboards in Weybridge employer: PVH (Tommy Hilfiger/Calvin Klein)

Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.

PVH (Tommy Hilfiger/Calvin Klein)

Contact Details:

PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Analyst - Marketing Analytics & Dashboards in Weybridge

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We think you need these skills to ace Senior Data Analyst - Marketing Analytics & Dashboards in Weybridge

Data Analysis
SQL
Google BigQuery
Looker Studio
Dashboard Design
Marketing Analytics
Customer Experience Analysis

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Brush Up on Your Statistics

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