Senior Optimisation Analyst

The Product Analytics and Experimentation team sits within the Data, Analytics & AI

directorate in the Technology department. Our mission is to deliver insightful and actionable

data through reporting, analysis, and experimentation; with a focus on establishing best

practice processes and enabling data-driven decision making across all supported product

teams. The Tesco mobile app and in-store self-checkout tills are among the digital products

supported by our team.

Everything is underpinned by our continuous drive for the best tools and technology to deliver

our vision. We’re driving innovation and transforming our Technology to become the world’s

leading e-commerce business.

We need people who share our ambition to deliver for our customers; Passionate and

confident people willing to take the initiative and drive us forwards. In return we offer

excitement, a great team, an excellent benefit package, and significant career development

opportunities.

At Tesco, you’ll find a world-class data environment with the Tesco Analytics Platform – all

our analytics, sales and customer data in one place. Our team offers unparalleled

opportunities to gain fantastic big data analytics experience while working extremely closely

with the key decision-makers in the business.

Joining us means playing a part in defining, building and launching an ambitious roadmap of

digital products that could affect the lives of millions of people over the years to come.

If that sounds exciting, then we'd love to hear from you.

The position can be based either in our office in Farringdon, London, or in our head office in Welwyn Garden City, with some occasional travel to the other office required.

This role reports to the Analytics Manager for Optimisation. Responsibilities will evolve in line

with business needs, but key responsibilities include

• Leading end-to-end A/B test analysis, including defining measurement frameworks,

shaping tracking requirements, validating data sources, applying appropriate

analytical techniques, and delivering clear, actionable recommendations to

stakeholders.

• Partnering with Product Managers, Optimisation Managers, and the Analytics

Capabilities team to define hypotheses, experimentation methodologies, success

metrics, technical approaches, and measurement requirements, ensuring robust

tracking and analytics are in place for all A/B testing activity.

• Escalation and advancement of Tesco’s experimentation capability through the

evaluation, recommendation, and implementation of advanced statistical methods,

analytical techniques, and best practices that improve decision-making and business

outcomes.

• Identifying and implementing improvements to data quality, analytical processes, and

experimentation workflows to increase efficiency, accuracy, and the speed of insight

generation.

• Managing the experimentation analysis backlog at a stream level, prioritising work and

coordinating delivery to ensure timely and effective support for business priorities.

• Supporting the definition of OKR metrics and collaborating with Analytics, UX Insight,

and Commercial Personalisation teams to identify opportunities for improving the

digital customer experience.

• Coaching and mentoring analysts within the team, promoting best practice in

experimentation and analysis, and helping to develop analytical capability across the

function.

• Digital analytics, optimisation, or experimentation roles, with a strong understanding

of A/B testing methodologies and the value of experimentation in driving business

outcomes.

• Applying statistical techniques and experimentation principles to real-world business

problems, with the ability to explain analytical findings and complex concepts to both

technical and non-technical audiences.

• Partnering effectively with cross-functional teams and contributing across all stages of

the product development lifecycle.

• Using large and complex datasets to generate insights, combining data from multiple

sources and applying advanced SQL to support analysis.

• Keeping up to date with industry trends, emerging methodologies, and best practices

in analytics, experimentation, and optimisation.

While not essential, experience in the following areas would be desirable

• Working with digital analytics, business intelligence, and data visualisation tools, such

as Adobe Analytics, Tableau, Hadoop, or equivalent platforms.

You might know us as a supermarket, technology company or even for our award-winning mobile network. Truth is, we’re all of those things, and much more. Our colleagues work with one goal in mind, helping to make every day a little better for our customers, colleagues and communities all over the world. No two customers are the same, neither are our colleagues.

At Tesco, we champion a balance that lets you thrive both in and out of work. Spend 60% of your week collaborating with colleagues at our office locations or local sites and the rest remotely. Whether you're just kicking off your career, juggling passions, or navigating big life events, we're here to support you. We always welcome a conversation about flexible working, so talk to us throughout your application about how we can support.

We're proud to be an accredited Disability Confident Leader, where everyone’s welcome. That’s why we commit to providing a fully inclusive and accessible recruitment process. If you need support with your application, click here for more information. And if you're interested in joining our team but don't tick every box, don't let that hold you back from applying.

When you join us in this role, you'll be employed by Tesco Stores Limited, the Tesco legal entity responsible for your employment.