Lead Digital Analyst – Customer Analytics in London

Lead Digital Analyst – Customer Analytics in London

London Full-Time 60750 - 74250 £ / year (est.) On-site
S

At a Glance

  • Tasks: Dive deep into customer analytics and optimise digital performance at Argos.
  • Company: Join Argos, a leading digital retailer shaping the future of shopping.
  • Benefits: Enjoy discounts, flexible working, and a range of perks for your wellbeing.
  • Other info: Collaborate with brilliant colleagues and grow your career in an inclusive culture.
  • Why this job: Make a real impact with data in a dynamic retail environment.
  • Qualifications: Expertise in SQL, Python, and customer analytics is essential.

The predicted salary is between 60750 - 74250 £ per year.

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 e Commerce, 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.

Lead Digital Analyst – Customer Analytics in London employer: Sainsbury's Limited

Sainsbury's Limited is an excellent employer, offering a supportive work culture that values flexibility and employee satisfaction. As a part-time Customer Delivery Driver at our Hendon store, you'll enjoy competitive pay, opportunities for growth within the company, and the chance to make a positive impact in your community by delivering essential groceries to customers. Join us for a rewarding experience where your contributions are recognised and appreciated.

S

Contact Details:

Sainsbury's Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Digital Analyst – Customer Analytics in London

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sainsbury's Limited!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Digital Analyst – Customer Analytics at Sainsbury's Limited.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sainsbury's Limited.

✨Apply Directly through Our Website

When you find a suitable opening like Lead Digital Analyst – Customer Analytics at Sainsbury's Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Lead Digital Analyst – Customer Analytics in London

SQL
Python
Power BI
Snowflake
AWS
Customer Analytics
Insight Generation

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Sainsbury's Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sainsbury's Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Sainsbury's Limited

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sainsbury's Limited!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.