Senior Analytics Engineer

Retail Insight; Leeds; Hybrid; GBP 70,000 - 95,000; Full time

Benefits offered by this job

Flexible Working

Birthday Day Off

Learning & Development

Private Medical Insurance

Volunteer Days

Car Purchase Scheme

Gym Discounts

Job summary

Retail Insight is seeking a Senior Analytics Engineer to shape data modelling, governance and delivery across our business, including AI-ready analytics solutions powering decisions for teams and clients.

You will lead best practices in analytics engineering, work with Snowflake/Databricks, dbt, and BI tools while mentoring others and ensuring data quality across the organization.

Qualifications

• Proven experience in analytics engineering or data engineering.
• Strong SQL and Python programming skills.
• Experience with cloud data platforms and modern data modelling practices.

Responsibilities

• Design and maintain scalable data models using dbt and SQL.
• Build and maintain semantic layers and metric definitions.
• Explore and implement AI-powered analytics solutions.
• Partner with Customer Success to understand business problems in data terms.
• Improve performance and reliability of analytics workflows.
• Mentor Analytics Engineers and Analysts to grow technical capability.
• Champion governance, documentation and data quality standards.
• Collaborate with multiple stakeholders to deliver data-driven outcomes.

Skills

Advanced SQL

Python

dbt & data modelling

Snowflake or Databricks

Power BI or ThoughtSpot

Excellent communication

Mentoring / leadership

AI analytics interest

Tools

dbt

Snowflake

Databricks

Power BI

Job description

Help shape the future of retail analytics.

At Retail Insight, we're on a mission to help some of the world's biggest retailers and consumer goods brands make smarter decisions through data.

Our technology helps retailers improve availability, reduce waste, increase sales, and create better experiences for customers. Behind this is a growing Data & Analytics team that transforms complex data into meaningful commercial insights.

We’re now looking for a Senior Analytics Engineer to play a key role in shaping how data is modelled, governed, and delivered across our business. This is an opportunity to combine deep technical expertise to build AI ready analytics solutions that power decision-making for both our teams and our clients.

What you’ll be doing

As a Senior Analytics Engineer, you’ll act as a technical leader within the Analytics function, driving best practices and helping the team evolve how we work with data. This includes;

• Design and maintain scalable data models using dbt and SQL
• Build and maintain trusted semantic layers and metric definitions
• Explore and implement AI-powered analytics solutions, including automated insight generation and AI agents
• Partner closely with our Customer Success teams to ensure we fully understand the business problem we’re looking to solve through data
• Improve the performance, efficiency, and reliability of analytics workflows
• Mentor Analytics Engineers and Analysts, helping develop technical capability across the team
• Champion governance, documentation, and quality standards
• Work across multiple stakeholders to deliver high-impact, data-driven outcomes for the business and our clients.

We’re interested in people who are passionate about solving problems with data and who enjoy helping others succeed.

• Proven experience in analytics engineering, data engineering, or a similar role
• Advanced SQL skills, ideally working with cloud platforms such as Snowflake or Databricks
• Strong experience with dbt and modern data modelling practices
• Python skills for automation and data manipulation
• Experience working with large-scale datasets and analytical environments
• An understanding of governance, lineage, version control and data quality frameworks
• Experience with BI and visualisation platforms such as Power BI or ThoughtSpot
• Excellent communication skills and the ability to engage both technical and non-technical stakeholders
• Curiosity about AI, automation, and emerging technologies, with experience using AI tools or building AI-enabled solutions being a real advantage.

Some of our extras...

• Flexible Working – Enjoy a hybrid work model (typically 2 days in the office) with flexibility based on business needs, plus a work from anywhere policy to give you freedom to explore.
• Time Off – 25 days annual leave (+ bank holidays), increasing with length of service, plus an extra day off for your birthday! We also operate summer hours so you can make the most of the sunshine.
• Learning & Development – Access a vast range of courses through our learning platform and benefit from structured career progression plans to support your growth.
• Health & Wellbeing – Private Medical Insurance, a healthcare cash plan, and mental health support via Help@Hand. Plus, we’ll ensure you have a safe and productive home setup with a workspace assessment.
• Giving Back – Take paid volunteer days to support your local community, donate to your chosen charity through salary sacrifice (we’ll match it!), and make a difference with Give as You Earn.
• Extra Perks – A car purchase scheme to make buying a new car easier, plus access to additional benefits through our online platform, including gym discounts.

Plus much more!

Our interview process typically consists of 3 stages

Skills Assessment

Values based Interview

Be your authentic self - Retail Insight is committed to promoting equal opportunities in employment. All employees and any job applicants will receive equal treatment. We actively seek to create an environment where everyone feels respected, supported, and encouraged to contribute their best work.