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Analyst - Business Performance

Sainsbury’s Argos is one of the biggest retailers in the UK and we’re investing significantly in our insights and analytics capabilities in order to bring customers to the heart of our decision making. We care about customers and want to delight them and exceed their expectations. Consequently our business decisions are driven by data and insight so that we can work hard to understand, empathise and engage with our customers to build real connections with them at every opportunity.

We are building a world class Insights team with a broad and diverse set of technical expertise, from coding to qualitative research, but all united with the same core set of skills: curiosity, an analytical mindset, drive, tenacity, and a desire to influence commercial decisions from the perspective of customers. We value that everyone brings something unique and individual to the team. You will be joining a supportive, growing, and committed team and will also benefit from access to the broader data and analytics community at Sainsbury’s Group.

In a nutshell

This role is an analyst within the Customer and Market Insight function to help us to use our data to understand how customers shop with us today, how and why their behaviour is changing, identify growth opportunities and feed that insight into teams across the Marketing team and the wider business.

The team’s objective is to use all our data, and specifically our customer and digital data to drive insight to inform decision-making and measure success at an operational and strategic level. They will consider how customer shop across the Argos estate, our physical and digital channels and our all our propositions and how this is changing over time, identifying patterns which will allow us to act to drive further value.

Your role will be to answer key business questions from multiple stakeholders at all levels, providing them with data and analysis through ad-hoc analytical work, an array of self-service tools and reports. You will use multiple analytical methods across multiple data sources to model business trends, spot patterns in customer behaviour, identify opportunities and ultimately power key strategic decisions.

What I need to do

This role will primarily be responsible for performing customer based analysis and insight and making that available across the CMI team and wider business. They will understand the context and background to a business question, determine suitable methodologies and craft data from multiple sources to answer that question. They will present their findings in a way that both answers the question, engages stakeholders and, where possible, has clearly defined actions available.

Specifically, this Analyst Role will:

They will be a strong analyst and will take on multiple high impact problems, translating business questions or problem into a robust set of methodologies that, once executed, provide actionable insight to non-experts. They will use multiple advanced analytics techniques as necessary will apply them to pieces of analysis as appropriate.

Designing and commissioning reports and self-service tools t to allow the marketing and business teams to easily and regularly access data and KPI’s that provide them insight into their day to day roles. Delivering training and workshops to help stakeholders learn to self-serve or better use and understand data.

Be a custodian of our data, working with the Data Management teams to ensure it is coherent and reporting accurate. They will feed requirements into the Data management team for new data features and aggregations.

This role will play an active position within both Sainsburys Argos and Sainsburys Group analytical community, leading activities and proactively championing the community.

How I will succeed

You will be a very strong analyst, you will be adept at understanding the problems at the heart of a stakeholders questions and able to determine and execute the most appropriate analytical methodologies to answer it. You will communicate your findings clearly to non-technical audiences and be constantly seeking new ways of understanding the context of their questions.

What I need to know

This role at the core of our analytical teams and therefore has to:

Be a strong analyst, you will have considerable experience in high paced business environments in turning, often vague business questions, into a piece of analysis that will answer the problems behind the original question.

A good ability at understanding a business question and selecting one or more analytical techniques and data sources to obtain as accurate and robust answer as possible

Strong technically across multiple platforms including platforms such as Advanced Excel & Microsoft office skills, SQL, R, Python, visualisation software such as Tableau, PowerBI or Qlikview. Digital toolsets such as Adobe Reporting & Analytics or Google Analytics.

Experience of analysing Customer Data, be familiar with common pitfalls in analysing customer data and how to apply rigorous methodologies to get to a robust answer.

What I need to show

Be an agile and innovative thinker, you should be both astute and creative with a logical and methodical approach to problem solving, you’ll be passionate about not just data but finding the what, why and how.

Be an excellent communicator, credible and articulate, with excellent presentation and interpersonal skills. You will be comfortable pulling the interesting story from complex datasets and presenting your findings in an engaging manner.

Be able to demonstrate the ability to explain your findings to Senior levels within the organisation (up to Senior Manager level), you have good stakeholder management capability.

Resources available to me

Support from your team of fellow analysts and a data management team in place to obtain and manage your datasets.

Support from the overall Sainsbury’s Argos CMI team

Support from the wider business and analytical teams as required.

What decisions I can make

You are accountable for prioritising your work. Ensuring that the methodologies and data used, will provide accurate answers to questions that can be trusted. Knowing when enough analysis is sufficient, when limited further value can be obtained.

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