Insight Manager

Job Title

Insight Manager

Location

Asda House

Employment Type

Full time

Contract Type

Permanent

Hours Per Week

37.5

Salary

Competitive salary plus benefits

Category

Data Science

Closing Date

18 September 2026

 

Asda places data at the core of its decision‑making and we’re looking for an Insight Manager to lead and elevate customer insight across our ecommerce business.

In this role, you will own the strategic insight agenda for ecommerce, ensuring high‑quality, commercially focused analysis informs decisions across trading, customer experience, marketing, and online operations. You will lead the understanding of customer behaviour across the full digital journey, from browse to basket to checkout to last mile, identifying opportunities to improve conversion, loyalty, online spend, and overall ecommerce performance.

You will be accountable for shaping, prioritising, and delivering analytical work that drives measurable commercial outcomes, ensuring insight is embedded into day‑to‑day trading and long‑term strategic planning. You will also play a key role in developing analytical capability within the team, supporting analysts and data scientists to deliver robust, actionable insight.

What You’ll Lead & Deliver

Drive Ecommerce Performance

• Set and deliver the insight strategy that improves key online metrics including conversion, basket size, customer retention, and customer loyalty.
• Partner with Trading and Performance teams to identify growth opportunities and influence optimisation decisions.

Customer & Journey Analytics

• Lead the understanding of end‑to‑end customer journeys across web and app.
• Identify friction points, drop‑offs, and behavioural trends that shape customer experience and commercial outcomes.

Advanced Analytics, Measurement & Experimentation

• Oversee the design and evaluation of trials, marketing campaigns, and onsite changes using SQL, Python, and large‑scale datasets.
• Champion A/B testing, experimentation frameworks, and continuous optimisation across ecommerce.

End‑to‑End Analytical Ownership

• Manage the full lifecycle of analytical projects - from scoping and prioritisation through to delivery and stakeholder adoption.
• Ensure outputs are robust, timely, and aligned to ecommerce priorities and trading cycles.

Stakeholder Leadership

• Build strong relationships with ecommerce, finance, marketing, and operations teams.
• Influence decision‑making through clear storytelling, commercial framing, and actionable recommendations.
• Act as the senior voice for customer insight in cross‑functional forums.

Customer Segmentation & Personalisation

• Lead the development, maintenance, and application of customer segmentation models.
• Ensure segmentation is embedded across marketing, personalisation, and decision‑making processes.

Develop Best Practice & Team Capability

• Champion high analytical standards, data quality, and consistent methodologies.
• Coach and support analysts and data scientists, helping them grow technical capability, commercial thinking, and stakeholder influence.
• Contribute to building a high‑performing, collaborative insight culture.

What You’ll Need

Essential Skills & Experience

• Strong experience in Retail, Ecommerce, or Customer Insight leadership roles.
• Proficiency in SQL and or Python and comfort working with large‑scale customer and transactional datasets.
• Deep understanding of ecommerce performance metrics (conversion, traffic, item metrics, retention).
• Strong grasp of customer behaviour in online retail environments.
• Proven experience measuring retail trading performance and evaluating commercial initiatives.
• Exceptional ability to translate complex data into clear, actionable insight for senior stakeholders.
• Confidence influencing both technical and non‑technical audiences.
• Experience leading end‑to‑end analytical delivery and managing multiple priorities.
• Degree in a numerate or analytical field (Mathematics, Statistics, Computer Science) preferred.

 Desirable

• Experience with digital analytics tools and customer journey analysis.
• Familiarity with A/B testing and experimentation frameworks.
• Experience with cloud platforms such as Azure or Databricks.
• Knowledge of BI tools (e.g., Power BI).
• Exposure to Agile ways of working (Jira, Confluence).

Why Join Us?

• Lead insight that directly shapes ecommerce growth and customer experience.
• Be part of a fast‑paced analytics & Data Science team at the heart of online retail.
• Access modern tooling and large‑scale customer datasets.
• Flexible hybrid working in a collaborative, supportive environment.
• Opportunities to grow leadership capability, technical expertise, and commercial impact.

Everything you'll love

To ensure we balance moments where we know we need to collaborate together and the need for flexibility, Asda has a hybrid way of working with a minimum 3 days a week in one of our Home Offices. Over and above this, each area of Asda may have additional requirements which may require spending more days in the office, visiting suppliers, stores or depots.

You will also get an excellent benefits package including:

• Discretionary company bonus

• Company pension up to 7% matched

• Company Car allowance of £5,700

• 15% colleague discount in store and online

• Free access to wellbeing services such as Stream, 24/7 virtual GP, counselling, health and dental cash plans and a 24/7 employee assistance helpline, alongside discounts across a range of services and activities, from airport parking, enhanced to theme parks and cinemas.

• Asda Allies Inclusion Networks – helping colleagues to make sure everybody is included and that our differences are recognised and celebrated

• Excellent parental leave policies, including maternity & adoption leave, paternity leave, shared parental leave, neonatal care leave, and support for those doing fertility treatments.

We want all colleagues to be able to bring their best and true selves to work, every day. Simply put, we want our colleagues to be Proud to be Asda and proud to be themselves