Senior Data Analyst/ Data Engineer

Randstad Technologies; Lancashire; On-site; GBP 69,000 - 91,000; Part time

Job summary

Randstad Technologies in Manchester is seeking a Senior Data Analyst/Data Engineer to join the Customer & Product Analytics team. You will analyse large datasets, build scalable dashboards, and partner with Product, Engineering and Business stakeholders.

Proficiency in SQL, Python/PySpark and Snowflake, with experience in A/B testing and data visualisation tools like Tableau or Power BI, is essential. The role requires the ability to translate findings into actionable business insights and

Qualifications

• Experience analysing large, complex datasets and extracting actionable insights.
• Experience translating data findings into business recommendations.

Responsibilities

• Analyse large and complex datasets to generate actionable insights
• Design and deliver scalable reporting, dashboards, and data solutions
• Partner with cross-functional teams including Product, Engineering, and Business stakeholders
• Conduct A/B testing and experimentation to evaluate product and feature performance
• Build and maintain high-quality datasets for advanced analytics
• Translate technical findings into clear, business-focused insights
• Support and mentor junior analysts within the team

Skills

A/B testing

Experimentation

Stakeholder management

Data analysis

Tools

SQL

Python / PySpark

Snowflake

Tableau

Power BI

Job description

Job Title: Senior Data Analyst/ Data Engineer

Location: Manchester (2 days in Office)

Contract: 6 Months (Extension Likely)

Payrate:£50 - £66 Per Hour

About the Role

We are partnering with a leading global digital platform in the travel and mobility space, looking for a Data Analyst to join their Customer & Product Analytics team.

This role sits within a fast-growing business unit focused on enhancing end-to-end travel experiences, including areas such as ride-hailing, rail, and airport transfers. You will play a key role in using data to improve customer journeys and influence product decisions at scale.

What You'll Be Doing

• Analyse large and complex datasets to generate actionable insights
• Design and deliver scalable reporting, dashboards, and data solutions
• Partner with cross-functional teams including Product, Engineering, and Business stakeholders
• Conduct A/B testing and experimentation to evaluate product and feature performance
• Build and maintain high-quality datasets for advanced analytics
• Translate technical findings into clear, business-focused insights
• Support and mentor junior analysts within the team

What We're Looking For

• Experimentation Expertise: Strong, demonstrable experience running A/B testing and causal inference in a product-focused environment.
• Core Technical Stack: Proficiency with SQL, Python / PySpark, and Snowflake.
• Experience with data visualisation tools (e.g. Tableau, Power BI)
• Hands-on experience with A/B testing and experimentation
• Experience with Snowflake
• Strong stakeholder management and communication skills
• Ability to work independently and manage multiple priorities

Nice to Have

• Experience in product-led, e-commerce, or customer-centric environments