Description:
We believe that a hybrid, flexible working approach offers you – and your colleagues – the best of both worlds. Face-to-face collaboration is an integral part of our warm, friendly culture, so you’ll work from our head office three days a week, working flexibly around our core working hours of 10am-3pm. Beyond that, how, when and where you work is up to you. With a subsidised canteen, free parking and a comfortable, relaxed environment, we’ve worked hard to build an office you’ll want to work in. We also know that, when it comes to school pick-ups and home deliveries, it’s nice to have the flexibility to do both.
Key responsibilities
- Contribute to the strategic direction and lead the day-to-day transition to a data-driven culture, aligning analytics with business goals and informing crucial decisions
- Champion the migration to Google Analytics 4, ensuring smooth transition, expertise utilisation, and maximised insights
- Support Retail Media measurement by strategically aligning agreed reporting, collecting, analysing and sharing results
- Be the go-to for all Retail Media reporting and insight and supporting the growth of this area of the business.
- Proactively seek to solve complex business problems/challenges through data analytics and insights
- Empower stakeholders through ad-hoc analyses using BigQuery, SQL, Power BI, and GA4
- Drive data-led optimisation; Leverage digital data to optimize key business areas, from marketing to merchandising, with clear action recommendations
- Foster data-first mindset; Collaborate with stakeholders to embed data-driven decision making across all digital activities championing a change to a data led culture
- Proactively monitor market trends, analyse competitor performance, and share insights & recommendations to inform strategy and drive positive performance.
- Tool mastery & advocacy; become the E-commerce team's analytics power user, promoting tool awareness and capability
- Forecast & budget ecommerce performance by utilising existing data and insight
- Prioritise & quantify impact of new tech developments; Calculate incrementality and build data-driven business cases to prioritize ecommerce development/feature opportunities
- Recommend and help implement data tagging strategies to unlock deeper insights and inform future decisions
Required skills & experience
- Strong proficiency in Google Analytics (GA4), including BigQuery, and experience with SQL and Power BI · Familiarity with Google Analytics 4 setup, configuration, and data extraction.
- Deep understanding of the E-commerce business landscape and key performance indicators.
- Strategic Thinker with ability to translate data into actionable insights and drive data-driven decision making.
- Skillful in identifying and addressing data-related challenges to optimize business performance.
- Excellent communication and storytelling presentation skills to effectively convey complex data insights to diverse audiences.
- Ability to build strong relationships and collaborate effectively with stakeholders across departments.
- Willingness to share knowledge and expertise to upskill the team on data analysis and tools
- Experience in implementing cultural shifts and embedding data-driven practices within organizations.
- Experience with web analytics tools like SimilarWeb, ContentSquare, Alteryx and knowledge of tagging and data enrichment techniques.