Senior Analytics Engineer

ZipRecruiter; Greater London; On-site; GBP 55,000 - 65,000; Full time

Job summary

A leading UK retailer is seeking a Senior Analytics Engineer / Insight Analyst to join their dynamic team. This role involves developing data foundations, building dashboards, and delivering insights that drive decision-making in a creative and innovative environment. The position offers a generous salary, benefits, and a supportive workplace culture focused on data-driven strategies.

Benefits

Generous staff discount (up to 50%)

30 days holiday, increasing with service

Annual discretionary bonus scheme

Private medical or health cash plan cover

Access to on-site gym & wellbeing support

Cycle to work scheme & regular free lunches

Enhanced parental leave policies

Flexible working & support for professional development

Qualifications

• Strong SQL skills required, experience with Google BigQuery preferred.
• Proficiency in Tableau or similar data visualisation tools essential.

Responsibilities

• Analyse business performance and customer engagement to deliver actionable insights.
• Design and build automated reporting and dashboards using Tableau.

Skills

SQL

Data Visualisation

Communication

Tools

Tableau

DBT

GitHub

Job description

Job Description

Senior Analytics Engineer / Insight Analyst

Much Loved UK Retailer ️

£55k - £65k plus 50% discount (!) & excellent benefits

Surrey Head Office – accessible from central London in 30 mins by train / or parking onsite

3 days in office

An exciting opportunity has opened up for an Analytics Engineer / Insights Analyst to join a vibrant and collaborative team at a prominent and much-loved retail brand with a passion for creativity, innovation, and data-driven decision-making.

In this role, you’ll support performance reporting and commercial insights by developing strong data foundations in a cloud-based data environment. You’ll be key in interrogating data, building dashboards, and delivering impactful insights that inform trading, marketing, customer decisions and wider business strategy.

The Company:

A disruptive and unique retailer looking to bolster its data team with a multi-faceted and multi-skilled analytics professional looking for a high-growth opportunity.

Working amongst an agile team of technical and analytical talent, you will work under the guidance of a highly experience analytics leader, supporting them directly in driving a data driven decision making culture, as well as working towards empowering various stakeholders in leveraging data to drive business impact through fostering a self-serve culture, driving value and optimal customer experience both in store and online through ecommerce channels.

Strong technical skills in SQL, data visualisation tools and ideally Python for more advanced analysis, but most importantly, the ability to add commercial value through data analysis.

What You’ll Be Doing:

• Analyse business performance and customer engagement, identify trends and deliver actionable insights

• Design and build automated reporting and dashboards using Tableau (or similar BI tools)

• Collaborate with Marketing, e-commerce, and Buying & Merchandising teams on data needs

• Work with Data Engineers to transform source system data using tools like DBT

• Develop dimensional data models and apply best practices in data warehousing

• Deliver advanced analytics projects such as customer segmentation, forecasting, and LTV analysis

• Maintain code-driven workflows and version control through GitHub

What We’re Looking For:

• Strong SQL skills (Google BigQuery or similar cloud platforms)

• Proficiency in Tableau or other data visualisation tools

• Understanding of data modelling (Kimball methodology )

• Experience with DBT / Airflow and orchestration tools

• Strong communication and stakeholder management skills

• Familiarity with GitHub for version control and documentation

Bonus Points For:

• Python skills

• Knowledge of JSON and ETL/data ingestion workflows

• Experience with AI/ML techniques for predictive modelling

Benefits:

• Generous staff discount (up to 50%!)

• 30 days holiday (incl. bank holidays), increasing with service

• Annual discretionary bonus scheme

• Private medical or health cash plan cover

• Access to on-site gym & wellbeing support

• Cycle to work scheme & regular free lunches

• Enhanced parental leave policies

• Flexible working & support for professional development

• Active DEI community and mental health first aider network