Retail Finance Analytics Engineer (Alteryx)

Sainsbury's Supermarkets Ltd; Greater London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading retail chain in the UK is seeking a Retail Finance Analytics Engineer to drive innovation through technology like Alteryx. You will design and build workflows, optimize data processes, and enhance productivity within the Retail Finance division. Ideal candidates will have expertise in Alteryx, SQL, and Snowflake, alongside strong stakeholder engagement skills. This role offers a flexible working arrangement across London, Manchester, or Coventry, and involves significant collaboration with various teams to improve retail performance.

Benefits

Competitive salary

Flexible working arrangements

Collaborative work culture

Qualifications

• Experience using Alteryx for data preparation and analysis.
• Proficient in SQL and Snowflake in professional or project settings.
• Ability to manage multiple channels and product types.

Responsibilities

• Designing and building Alteryx workflows to enhance productivity.
• Optimizing data extraction, transformation, and loading processes.
• Delivering ad hoc analysis and insights for retail performance.

Skills

Alteryx

SQL

Snowflake

Data preparation and analysis

Stakeholder engagement

Job description

Retail Finance Analytics Engineer (Alteryx)

Salary: Competitive Plus Benefits
Location: London Store Support Centre and Home, London, EC1M 6HA
Contract type: Permanent
Business area: Finance & Business Development
Closing date: 18 December 2025
Requisition ID: 400042675

Flexible location - London, Manchester or Coventry and Home

Joining the Retail Finance Analytics team at Sainsbury's means joining a group of problem solvers and innovators who are dedicated to pushing boundaries and driving the business forward. In our inclusive and collaborative culture, you will have the opportunity to leverage cutting‑edge technology, such as Alteryx, to enhance productivity, gain new insights, and drive automation while working closely with Retail and Commercial Finance stakeholders. We believe in the strength of diversity, teamwork, and commitment, and we encourage our team members to be their authentic selves as we work together towards achieving shared success and making a meaningful impact on retail performance.

What you’ll do

In the role of Retail Finance Analytics Engineer, you will be at the forefront of driving innovation and leveraging technology to enhance productivity, uncover new insights, implement automation, and improve control within the Retail Finance division. By designing and building Alteryx workflows, optimising data extraction, transformation, and loading processes, and collaborating with stakeholders from Business and Tech teams, you will play a pivotal role in delivering ad hoc analysis and insights to enhance retail performance. Your expertise in Alteryx, SQL, and Snowflake, combined with your proactive engagement with key stakeholders, will enable you to champion the development of quality assets and drive internal process improvements to optimise data delivery and drive efficiency across multi‑channels and products.

Who you are

You are a forward‑thinking and tech‑savvy professional with a strong background in leveraging technology to drive business innovation and performance. With your expertise in Alteryx, SQL, and Snowflake, you possess the skills to design and build efficient data workflows, enhance data quality, and deliver valuable insights to Retail and Commercial Finance stakeholders. Your high levels of energy, resilience, and proactive engagement enable you to build strong relationships, prioritise effectively, and drive positive change within a dynamic and challenging environment.

• Demonstrable experience using Alteryx for data preparation and analysis, ideally supported by an Advanced Alteryx Certification
• Proficient in SQL and Snowflake, with evidence of applying these tools in a professional or project‑based setting
• Proven ability to manage multiple channels and product types, showcasing adaptability across varied data environments
• Track record of effective stakeholder engagement, including proactive communication and relationship‑building across teams
• Evidence of prioritising competing demands and constructively challenging requests, with examples of managing workload and influencing outcomes