Lead Digital Analyst – Adobe Analytics
Job Description
Why join us
Joining Sainsbury's Tech means becoming part of a dynamic and fast-paced environment at the forefront of digital innovation. As a multi-channel, multi-brand business serving millions of customers daily, we handle an unparalleled volume of data, providing endless opportunities for insights and impactful solutions. With a focus on data-driven decision-making, you'll work closely with multiple stakeholders and have the support of a centralised analytics team. We pride ourselves on our inclusive and diverse culture, offering competitive benefits, flexible working options, and an environment where growth and development are encouraged. Join us and be part of our exciting journey in transforming the future of retail through technology.
What you’ll be doing
You’ll be working in the Applied Data & Analytics (ADA) function as a Digital Analyst reporting into the Analytics Manager.
This role will use our comprehensive data, industry leading tools and data visualisation to understand the behaviour on our digital channels for Food, General Merchandise and Clothing then feed that insight into teams across the business. This is achieved by a mix of project-based work, day-to-day insight and analysis, as well as supporting stakeholders self-serve.
This role suits an experienced Analyst, looking to line manage and build leadership skills, as you will be line managing Associate Analyst(s).
Who you are
- Provide insight into behaviour on our digital channels and present this in a variety of different ways from a quick conversation to presenting a deep dive insight pack or a self-serve dashboard, providing commentary and making recommendations.
- Support and collaborate with digital and broader analytics teams to prioritise and deliver the backlog.
- Look for new ways to develop existing reporting and processes through automation and optimisation along with research in to emerging technologies and ‘best practice’.
- Collaborating with other teams to make sure we’re capturing the right data, in the right place, at the right time.
- Drive your own development, while you’ll have ample support and training where required, with the constantly evolving landscape in data and analytics, it’ll be important to identify your development needs and the best way to grow them.
- Line manage Associate Analyst(s).
What I need to know and show
- Experience with Adobe Analytics is essential. Admin Console experience would be beneficial. Tealium / Tagging implementation experience is highly desirable.
- An agile and innovative thinker, you’ll be able to think creatively with a logical and methodical approach to problem solving and coming up with ideas.
- Excited by digital and retail, you’ll can be curious about data and the adoption of new technologies and tools.
- A proven track record of delivering actionable insight and demonstrable business change through the application of analytics.
- Self-starter with initiative and good self-management skills, able to prioritise and work collaboratively as a valuable member of a team in a fast-paced environment.
- Passionate about your own development, adaptable and have a growth mindset.
- Excellent communicator, credible and articulate, with good presentation and relationship building skills. Able to build trust with stakeholders and explain technical concepts to non-technical audiences.
- As we try to bridge the gap between classic digital data and broader business data, experience with any sort of coding (e.g. SQL, Python/R, VBA or others) would be very valuable but not essential as training can be provided.
- Familiarity with data visualisation techniques or tools (e.g. Tableau, QlikView, Microsoft Power BI or MicroStrategy) would be useful but not essential.
How we work
We work flexibly at Sainsburys. This is a full-time role (37 hours/week), but for the right candidate, we are happy to flex the time commitment. We can also offer a full flexibility around when you work, allowing you to fit your working hours around your life.
We are proud supporters of Women in Data®. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.