Permanent
Location: Lancashire (hybrid – 2 days per week on-site)
Salary: £50,000-£55,000
Industry: Smart Supply Chain and Lifecycle Management

 
About the Client
Our client is a long-established, service-focused business delivering intelligent, data-driven solutions that help organisations increase efficiency, reduce operational risk, and streamline complex logistical processes. With a strong reputation for reliability and innovation, they serve a diverse portfolio of national and regional clients, many of whom rely on their services as a critical part of day-to-day operations. 

They pride themselves on combining technology with exceptional service delivery, offering bespoke solutions tailored to the evolving needs of their customers. The organisation continues to invest in digital transformation and strategic partnerships to remain at the forefront of operational excellence. Known for a collaborative and pragmatic culture, they value long-term relationships and continuous improvement. 

How you’ll spend your day
As a Data Analyst, you’ll play a key role in turning data into insights that drive better decisions across the business and for customers. You’ll:

• Design, build and optimise dashboards in Power BI (or Tableau) for self-serve reporting.
• Translate complex datasets into clear, actionable insights that influence decisions.
• Write and optimise SQL queries to support analysis, transformation, and reporting.
• Develop and maintain data models and pipelines using tools such as DBT Cloud and Snowflake.
• Ensure accuracy, consistency and integrity across reports and dashboards.
• Collaborate with stakeholders across functions to understand requirements and deliver effective solutions.

What you’ll bring to this role
We’re looking for a proactive analyst who combines strong technical skills with the ability to tell compelling data stories. You’ll need:

• 2–5 years’ experience in data analysis, visualisation, and modelling.
• Strong SQL skills (joins, CTEs, window functions, query optimisation).
• Experience building dashboards in Power BI (preferred) or Tableau, including DAX and data modelling.
• Familiarity with cloud data warehouses (Snowflake preferred).
• Advanced Excel skills and ability to communicate findings to non-technical audiences.
• Curiosity, problem-solving mindset, and the drive to turn data into practical business solutions.
• Bonus: exposure to DBT, Fivetran, Python, Git, data governance, or machine learning techniques.

Perks & Benefits:

• 2 x basic annual salary – Death in service
• 8% pension (5% employee)
• 25 days holiday plus bank holidays

What happens next?
One of our Recruitment Consultants will be in touch and inform you if you’ve been successful to the next stage of the process or not, which is a qualification call where we will tell you more about the role and the client, and understand more about you, your experience and career aspirations.

Should we both wish to proceed, we will submit your details to the client and be in touch regarding the outcome and any further steps.

The interview process for this client consists of:

• Stage 1 – Remote Technical Discussion
• Stage 2 – Remote Competency and Culture Interview with the CTO

Equal Opportunities
We are committed to providing equal opportunities for all candidates and welcome applications from individuals regardless of age, disability, gender identity, marital status, race, religion or belief, sexual orientation, or any other characteristic protected by law. As an employment agency for permanent and contract hires, we are dedicated to promoting a diverse and inclusive workforce, and we encourage applications from underrepresented groups to drive innovation and equality within the workplace.

Should you require any reasonable adjustments please let us know so we can accommodate for any interactions with us at Biometric Talent, but also inform the client to ensure reasonable adjustments are made to allow for a fair and equitable process.

How to Apply
To apply, please submit your CV and cover letter to ian.fitzgerald@biometrictalent.com