Lead Digital Marketing Analyst

Job Title: Lead Digital Marketing Analyst

Job Term: 12 Month Fixed term Contract

Job: Location: London

Why join us

Joining Sainsbury's Data & Analytics 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. In collaboration with our expert teams, you will have the chance to shape and build high-performance products that enhance the shopping experience for our customers. 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 Argos Digital Spoke function as a Lead Digital Marketing Analyst reporting into the Analytics Manager. This role will support the Analytics Manager in providing analytical support for the General Merchandise digital marketing activity, including paid search, affiliates, display, social, email and apps across web analytics tools, in platform data and utilising our transactional and customer databases across the group. The successful candidate will work across a number of stakeholders and teams both internal and external to influence, engage and execute best in class analysis that delivers on the objectives set. As a Lead Digital Marketing Analyst, you will be responsible for analysing the performance and effectiveness of our digital marketing activities, focusing on both customer acquisition and retention across Paid Search, Affiliates, Display, Social, and Email channels. You will deliver actionable insights to a variety of stakeholders, driving measurable improvements in our marketing strategies and activities. In this role, you will produce automated reporting tools to support a self-serve analytical model and provide analytical training and support to the wider Digital Marketing Team. Collaboration with the Marketing Technology team is essential to ensure optimal use of available tools and to drive best-in-class digital analytics. You will design and implement measurement tests to demonstrate the value of individual digital marketing components, such as cashback initiatives within the affiliate channel. Additionally, you will analyse and report on digital marketing performance during key seasonal events across the group, including Black Friday and Christmas.

Who you are

You will have strong numerical skills and experience in extracting and manipulating large data sets from varied sources. You will be comfortable drawing insights from analysis and presenting the narrative to stakeholders through a range of mediums, including demos, reports, and presentations. This role requires strong influencing and relationship-building skills across both technical and non-technical teams. Excellent technical skills in PowerPoint, Excel, and SQL are essential. A strong understanding of digital marketing channels and the role they play within the marketing conversion funnel is required. Experience in using tools including Google Analytics, Adobe Analytics, Google Ads, Bing Ads, Search Ads 360, Business Manager, and Google Search Console is required. Experience with SQL and BI tools such as Google Data Studio, Tableau, MicroStrategy, and Power BI is also desirable.

Essential Criteria

Excellent technical skills in PowerPoint, Excel and SQL.

Excellent technical skills in most of the following Google Analytics, Adobe Analytics, Google Ads, Bing Ads, Search Ads 360, Business manager, Google Search console is essential.

Strong understanding of digital marketing channels and the role they play within the marketing conversion funnel.

Strong numerical skills and experience with extracting and manipulating large data sets across varied data sources.

Strong influencing and relationship building skills, across both technical and non-technical teams.

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