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Assistant Analyst - Digital

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 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.

It’s about more than reporting and endless spreadsheets, far from it! We’re a creative bunch – mixing top class digital analytics, data visualisation and communication with infectious personalities that enable us to create compelling action led stories based on data and insight. We’re looking for somebody that can get to grips with something unfamiliar, logically understand it and creatively transform it in to something that anybody can understand.

What I need to do

You’ll be working in the digital analysis team , reporting in to the Digital Analyst. You will be fundamental in developing & driving forward the Digital team’s capabilities through the development and use of digital analytics.

Your main challenge will be around extracting, analysing, interpreting and presenting on customer behaviour through digital channels for regular reporting, insight driven analysis and any ad-hoc / project based requests. Giving awareness into aspects of what our customers are doing online and how we can drive better customer experience in order to transform Argos in to a digital retail leader.

Specifically, this Assistant Analyst Role will be responsible for:

Developing and managing Digital’s reporting capabilities, with responsibility for the accuracy, availability and timeliness of the output. Focus will be on supporting digital trading and content reporting via Excel and Adobe Analytics.

Supporting the business in better understanding of the customer journey by performing funnel analysis and research in to market trends, feeding this back as actions and recommendations to enhance the overall customer experience.

Using industry leading tools like SessionCam (visitor session recording) to help optimise and inform the best customer experience and ForeSee (customer feedback) to pull out important ‘voice of customer’ insights that can be acted on around the business.

Working with digital analytics development and the testing team to debug, prioritise and escalate analytics defects. Making sure we’re capturing the right data, in the right place, at the right time and tracking that through from the end customer journey in to our analytics platforms. It doesn’t require knowledge of coding just a strong attention to detail along with methodical and logical problem solving.

Looking for new ways to develop existing reporting and processes through automation and optimisation along with research in to emerging technologies and ‘best practice’. You’ll constantly be on the lookout for new and innovative ways of sharing and presenting insights to the business.

Driving and championing the use of digital data within the Digital team and wider business, including assisting in workshops and presentations. Supporting how we communicate and work more collaboratively with both internal and external stakeholders via the various tools we have at our disposal (SharePoint, WordPress, Trello, Jira, Confluence, email, etc.). Looking after digital intelligence administration, account creation and housekeeping, supporting with facilities, resources and equipment where required.

How I will succeed

You will be analytical at heart, 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 good analyst, you will have some 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 working with a stakeholder or analyst on a business question and using one or more analytical techniques and data sources to obtain as accurate and robust answer as possible

Technically competent across multiple platforms including but not limited to Advanced Excel & Microsoft office skills, visualisation software such as Tableau, PowerBI or Qlikview. Digital toolsets such as Adobe Reporting & Analytics or Google Analytics.

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 communication, presentation and interpersonal skills. You will be comfortable translating complex data into insight and stories and presenting your findings.

Strong stakeholder management capability, including ability to explain technical concepts to non-technical audiences.

Self-starter with strong self-management skills, able to prioritise and work autonomously or as a valuable member of a project team.

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 the quality of 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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