Lead Digital Analyst – Customer Analytics

Sainsbury's

Greater London

Sur place

GBP 60 000 - 85 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Colleague discount
Pensions scheme
Life cover
Performance-related bonus (up to 10%)
Annual holiday allowance

Résumé du poste

Argos, a digital-led UK retailer, is seeking a data analytics professional to deliver deep-dive Customer Analytics across the full journey, with a focus on segmentation, Customer Lifetime Value and behavioural analysis to provide a single customer view.

You will partner with the Analytics Manager and cross-functional teams across eCommerce, Digital Product and Marketplace Analytics to translate requirements into measurable data use cases, driving insights and automation.

Qualifications

  • Expert level hands-on experience with SQL, Python and Power BI.
  • Experience in Customer Analytics and Insight Generation in a Digital Retail environment.
  • Ability to translate analytics into clear business direction.
  • Experience with Snowflake / AWS or similar cloud data technologies.

Responsabilités

  • Perform deep-dive analytics of Argos Digital Channel performance.
  • Support Analytics Manager with prioritisation of Data & Analytics Use Cases.
  • Collaborate with cross-functional teams to deliver end-to-end customer journey analysis.
  • Triage data requests and guide Data & Analytics approaches.
  • Influence senior stakeholders with clear data storytelling.

Connaissances

SQL
Python
Power BI

Outils

Snowflake
AWS

Description du poste

At Argos

At Argos, we’re a digital-led UK retailer that keeps pushing boundaries to meet every generation with what they want, how and when they want it.

As a market leader in general merchandise, serving millions of customers through our website, app, same-day delivery and Click & Collect services, we offer real opportunities to learn, grow and shape your career.

With roles spanning Commercial, Buying, Merchandising, Design and Supply Chain, through to Digital, Operations, Customer Experience, Marketing, and People and Transformation, you will work with brilliant colleagues and directly shape how we serve our customers every day.

From enabling inspiring choice across our owned brands, including Habitat, Chad Valley and Bush, alongside the world’s biggest brands like Apple, Lego, Xbox and Samsung, to making shopping effortlessly convenient, championing trusted value and accelerating our strategy - Argos is an exciting place to build your future.

Why Join Us

At Argos, data is one of the most important parts of how we operate, innovate and serve our customers; our Data & Analytics Team ambition is to build the most technically-advanced, commercial and impactful capability in the industry, powering our Next-Level Strategy and helping to create an AI-powered Argos, enabling More Argos, More Often through Inspiring Choice, Always Great Value and Supercharging our Digital Capabilities.

The role holder will be responsible for delivering deep-dive Customer Analytics, primarily Digital but with a view across the full end-to-end Customer Journey, focusing on segmentation, Customer Lifetime Value, Behavioural Analysis and Journey Analytics to provide a clear Single Customer View.

What you’ll do
  • Performing deep-dive, Digital data-led analysis of Argos Digital Channel performance, focusing primarily on Customer Analytics to generate insights and informing our stakeholders of Campaign, Commercial and Customer Experience optimisation opportunities.
  • Supporting the Analytics Manager – Customer and Digital Marketing Analytics, by:
    • Acting as a Customer Analytics subject matter expert across Argos Digital Channels to ensure business partners have the right analytics and insights to make decisions on change across our Digital Channels.
    • Effective management and prioritisation of Data & Analytics Use Cases to ensure on-time and high-quality delivery.
    • Act as part of a cohesive Digital & Customer Analytics team by collaborating with and supporting the wider eCommerce, Digital Product Analytics and Marketplace Analytics team; providing a complete and accurate analysis of our end-to-end Customer Journey and Digital Channel performance.
    • Triage and assessment of D&A Use Cases to clearly understand the ask, providing subject matter expert input to guide the correct Data and Analytics approach to deliver the requirements.
    • Effective stakeholder management across multiple teams and levels, up to senior leadership.
    • Acting as a central point of contact between Business and Technical teams to guide Data and Analytics requirement definition and implementation across the Product Design lifecycle.
    • Identification of new ways to improve and optimise existing ways of working through automation and optimisation, including research into emerging technologies.
What I need to know
  • Expert level hands-on experience with SQL, Python, Power BI, and familiarity with Snowflake, AWS or similar cloud data technologies.
  • You must have extensive experience in Customer Analytics and Insight Generation in a Digital Retail Click-and-Collect environment, including Customer Segmentation, Customer Lifetime Value, Behavioural Analysis and Journey Analytics.
  • You are an expert in Data storytelling, turning complex and technical Analytics terminology into clear, unambiguous and engaging business direction.
  • Extensive experience analysing data and multiple-source datasets to generate actionable insights from large, complex data environments.
  • Expert knowledge of Digital data technologies and solutions across the data lifecycle—from data collection, definition and processing to enrichment, storage and visualisation.
  • Proven ability to influence and manage senior stakeholders across multiple workstreams in a complex retail, omnichannel or digital environment.
Essential Criteria
  • Proven ability to analyse large, complex and multi-source datasets to produce actionable insights, including hands-on use of data analysis tools such as SQL and Python, and insight visualisation using platforms such as Power BI or equivalent.
  • Demonstrable experience delivering customer analytics and insight within a digital retail or omnichannel environment, including customer segmentation, customer lifetime value, behavioural analysis and customer journey analytics.
  • Proven capability to translate business questions into defined data use cases, including the development of measurement frameworks, KPIs and clearly articulated success measures that support business decision-making.
  • Demonstrable experience influencing senior stakeholders and leading others within a data and analytics function, including providing analytical direction, mentoring colleagues and producing executive-level reporting or dashboards.
#LI-CM1

We are committed to being a truly inclusive retailer so you’ll be welcomed whoever you are and wherever you work.

Around here, there’s always the chance to try something new — whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you.

We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working.

When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them:

  • Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year.
  • We've also got you covered for your future with our pensions scheme and life cover.
  • You’ll also be able to share in our success as you may be eligible for a performance-related bonus of up to 10% of salary, depending on how we perform.
  • Your wellbeing is important to us too.
  • You'll receive an annual holiday allowance and you can buy up to an additional week's holiday.
  • We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers.
  • And if you ever need it there is also an employee assistance programme.
  • Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave.
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