Matalan

Ecommerce Data Analyst

Liverpool

Posted 6 days ago

Early applicant

On-site

Full-time

Senior Level

Salary: Competitive plus benefits

Working Pattern: Full Time

Contract Type: Permanent

About Matalan

From humble beginnings to disruptive innovations in the retail industry, find out about how Matalan is ever-evolving here.

We know as a team, we are stronger together – we champion equality for all and make lasting connections that go beyond work. We thrive off our inclusive culture, encouraging our colleagues to bring their true selves to work and contributing to collective creativity, open-mindedness and growth.

We want give every candidate the opportunity to perform at their best throughout the application and interview process and then ultimately in their role. If you require any adjustments during our recruitment process, please don’t hesitate to let us know.

In the event that a high volume of suitable applications are received, the post may close prior to the specified closing date. Please apply as soon as possible if interested.

About The Role

Join our dynamic Ecommerce team at Matalan as an Ecommerce Data Analyst! In this role, you'll play a pivotal part in driving our online success by leveraging your technical expertise in data collection, tracking and analysis. You will transform complex web data into clear, compelling stories with actionable recommendations that directly influence business decisions.

A vital role within the Analytics and Ecommerce teams, you will deliver critical web data insights to the Ecommerce team. This involves transforming business questions into analytical problems, analysing intricate datasets, and presenting concise, persuasive, and actionable insights that drive informed decisions and optimize online performance.

Key Responsibilities -

Delivery of actionable insight: utilise a variety of analytical techniques to deliver valuable actionable insight that address diverse business challenges Stakeholder Relationship Management: Comfortable building strong relationships with key stakeholders to understand their analytical needs, identify challenges, opportunities and contribute to their strategic roadmaps Commercial Impact Analysis: Able to evaluate the commercial viability of insights, quantify the impact of data driven decisions and prioritise future work that maximise value delivery. Analytical Tool and Process Development: Develop and implement tools, reports, and processes that enhance the analytical capabilities of the team and wider business, with a focus on data democratisation and self serve analytics for the key teams. Insight Democratisation: Create and maintain automated BI that promote data awareness and enhance the business knowledge of our online performance and customer behaviours. Active member of the Analytics team: Sharing insight, analytical process and underlying data changes in the ecomm area with the wider analytics and data science team as part of our regular knowledge sharing.

About You

Educated to a degree level or with demonstrable relevant experience Extensive experience of at least 4 years working with BigQuery is essential including a solid understanding of SQL coding Strong Experience of Google analytics (GA4). Extensive Experience of visualisation software essential (e.g. Power BI/ Looker). Understanding of analysis methodologies essential (statistical techniques a plus). Awareness of ETL processes and database automation. Experience working with AI tools to generate automated insights advantageous Confident in Microsoft Excel and full Microsoft Suite. (Or cloud based equivalents)

Benefits

In addition to competitive salaries, we also offer the below core benefits:

20% staff discount, which increases with length of service Thrive Recognition Scheme Wellbeing support provided by the Retail Trust Life Assurance Retail Rewards platform offering discounts for other retailers Pension Scheme Access to a wide range of career development Additional benefits may apply depending on your role and area of the business

Skills

BigQuery

SQL

Google Analytics

GA4

Power BI

Looker

Statistical Techniques

ETL Processes

Database Automation

AI Tools

Microsoft Excel

Microsoft Suite