Ecommerce Data Analyst

Posted Yesterday
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Hatfield, Welwyn Hatfield, Hertfordshire, England, GBR
In-Office
Junior
Information Technology
The Role
Produce ecommerce insights across the customer journey using SQL and Python. Build cohort, LTV, segmentation, funnel and A/B test analyses. Create Looker dashboards, partner with product/commercial/data engineering, surface data quality gaps, and translate findings into actionable recommendations for stakeholders.
Summary Generated by Built In

Data Analyst | Ecommerce Partner Success Analytics | Hybrid Working | Hatfield

We are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting-edge robotics, AI, and IoT within our advanced CFCs (Customer Fulfilment Centres). We've mastered the single pick, transforming online delivery for our global partners. Join us and be part of a team pushing the boundaries of retail technology. 

About the Role As an Ecommerce Data Analyst (A2) within the Partner Success Analytics team, you will generate critical insights across the full customer journey, from how shoppers discover and browse to how they purchase, retain, and engage with the platform. Operating at the intersection of ecommerce, commercial strategy, and product analytics, your work will help a diverse set of global retail partners understand platform performance, identify growth opportunities, and deliver stronger business results.

In this role, you will collaborate closely with product, commercial, and data engineering teams to solve complex problems spanning digital storefronts, fulfilment, and last-mile delivery. You will take ownership of translating deep analytical findings into clear, actionable narratives for diverse stakeholders. This is a fantastic opportunity to leverage data, statistics, and modern tooling to directly influence the digital customer experience and shape commercial decision-making on an international scale.

Key Responsibilities

  • Build cohort analysis, customer segmentation, and lifetime value modelling to deepen the understanding of shopper behaviour.
  • Analyse customer journeys and funnel drop-offs to surface actionable improvement opportunities across the platform.
  • Track and interpret core ecommerce metrics, including Conversion Rate, Average Order Value, Frequency, and Churn, translating trends into clear narratives for stakeholders.
  • Evaluate feature performance, feature uptake, pricing structures, and promotional mechanics to inform commercial strategies.
  • Analyse product range and availability data to support data-driven commercial decision-making.
  • Design and run A/B tests and other statistical experiments in collaboration with product and commercial teams.
  • Apply appropriate statistical methods to evaluate experimental results, communicating findings clearly alongside uncertainty and practical significance.
  • Build and maintain user-friendly dashboards and reporting in Looker to empower stakeholders to self-serve.
  • Work closely with data engineers to understand available data assets and proactively surface gaps or quality issues.

What We’re Looking For Essential

  • 2+ years of experience in a data analyst or similar data-focused role.
  • Strong SQL proficiency with comfort writing complex queries across large datasets.
  • Python proficiency for data analysis, transformation, and automation.
  • Solid understanding of statistics, with the ability to design, run, and interpret A/B tests and hypothesis tests.
  • Experience building user-friendly dashboards in a BI tool such as Looker, Tableau, or Data Studio.
  • Familiarity with core ecommerce metrics and a clear understanding of how they connect to broader business outcomes.
  • Ability to translate complex analytical findings into clear, actionable recommendations for non-technical audiences.

Nice to Haves

  • Experience with Google BigQuery and the Google Cloud Platform (GCP) ecosystem.
  • Familiarity with dbt or structural data modelling concepts.
  • Experience utilizing web analytics tools such as Google Analytics 4 (GA4).
  • Exposure to predictive modelling or regression techniques.
  • Prior analytics experience within the online grocery, retail, or logistics sectors.
  • Familiarity with version control systems such as Git and GitHub.
  • Curiosity about AI and experience utilizing tools like Claude or ChatGPT.

Benefits Our employee benefits are designed for you, we care about people and we’ve ensured we have a wealth of benefits that focus on your well-being. We regularly review our benefits to ensure we are supporting our employees appropriately. Currently, we offer technically stretching work, a competitive salary and;

  • Hybrid working patterns meaning part of the working week can be spent working remotely (typically 3 days per week). However, your working pattern will depend upon your role/team.
  • 30 days working from anywhere policy
  • Wellbeing support through Apps such as Unmind and an Employee Assistance Programme
  • 25 days annual leave, rising to 27 days after 5 years service (plus optional holiday purchase)
  • Pension scheme (various options available including employer contribution matching up to 7%)
  • Private Medical Insurance
  • 22 weeks paid maternity leave and 6 weeks paid paternity leave (once relevant service requirements complete)
  • Train Ticket loan (interest-free)
  • Cycle to Work Scheme
  • Opportunity to participate in Sharesave and Buy as You Earn share schemes
  • 15% discount on Ocado.com and free delivery for all employees
  • Income Protection (can be up to 50% of salary for 3 years)
  • Life Assurance (3 x annual salary)

Be bold, be unique, be brilliant, be you. We are looking for individuality and we value diversity. We are an equal opportunities employer and we are committed to treating all applicants and employees fairly and equally. We are committed to making reasonable adjustments to provide a positive, barrier-free recruitment process and supportive work environment. If you have any support or access requirements, we encourage you to advise us at the time of application.

#LI-HYBRID

#LI-OT

#LI-JT1

Skills Required

  • 2+ years of experience in a data analyst or similar data-focused role
  • Strong SQL proficiency, comfortable writing complex queries across large datasets
  • Python proficiency for data analysis, transformation, and automation
  • Solid understanding of statistics and experience designing, running, and interpreting A/B tests and hypothesis tests
  • Experience building user-friendly dashboards in BI tools such as Looker, Tableau, or Data Studio
  • Familiarity with core ecommerce metrics (Conversion Rate, AOV, Frequency, Churn)
  • Ability to translate complex analytical findings into clear, actionable recommendations for non-technical audiences
  • Experience with Google BigQuery and Google Cloud Platform (GCP)
  • Familiarity with dbt or structural data modelling concepts
  • Experience with Google Analytics 4 (GA4) or other web analytics tools
  • Exposure to predictive modelling or regression techniques
  • Prior analytics experience within online grocery, retail, or logistics sectors
  • Familiarity with version control systems such as Git and GitHub
  • Curiosity about AI and experience using tools like Claude or ChatGPT

Ocado Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ocado Group and has not been reviewed or approved by Ocado Group.

  • Equity Value & Accessibility Equity programs include free share awards after six months of service, with additional access to broad-based plans such as SIP, Sharesave, and ESPP in applicable regions.
  • Flexible Benefits Work arrangements often allow hybrid schedules and a limited work‑from‑anywhere allowance, alongside flexible leave options and discount schemes depending on role and location.
  • Parental & Family Support Policies cover birth, adoption, fostering and surrogacy, with returner coaching and additional flexible arrangements after leave where applicable.

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The Company
London
6,700 Employees

What We Do

When our journey started, we were all about changing the way people shop for groceries. Nearly 20 years later, we’re a FTSE 100, client-focused business that provides services, technology, and automation to grocery e-commerce businesses around the world.

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