Data Analyst

Data Analyst

Location: Manchester (Hybrid: 1 day per week onsite, typically Wednesdays)

Duration: August 2026 - April 2027 (Maternity Cover)

Rate: £540/day / £72/hour (Inside IR35 / Paid via an Umbrella Company)

About the Business

We are a global leader in the travel technology sector, dedicated to making it easier for millions of customers to experience the world. This role sits within our Trips & Ground Transportation Business Unit, a high-velocity, tech-first division focused on creating a seamless, connected journey for travellers booking taxis and rail globally.

The Role

As a Data Analyst II, you will join our Ground Transportation Data Science & Analytics team. This is a highly visible, commercially impactful role where data drives every decision. You will operate with a high degree of independence, owning the entire data lifecycle from initial business problem definition and data preparation to complex experimentation and actionable product recommendations.

You will act as a critical partner to Product Managers, Engineers, UX Researchers, and fellow analysts, translating complex data into clear, compelling narratives that shape our product roadmap.

Key Responsibilities

End-to-End Analytics: Own the ingestion, cleansing, validation, aggregation, and reporting of complex datasets to create scalable, long-term analytics solutions.

Experimentation & Insight: Design, execute, and analyse A/B (and multivariate) tests to measure the success of new product features and business initiatives.

Stakeholder Influence: Autonomously partner with cross-functional teams, translating non-technical business requirements into rigorous analytical frameworks and data stories.

Mentorship: Act as a force multiplier by coaching, mentoring, and peer-reviewing the work of junior colleagues.

What We Are Looking For

The Core Tech Stack: Advanced proficiency in Python (most critical), PySpark, SQL, and Snowflake.

Experimentation Expertise: Strong, demonstrable working knowledge of experiment design, A/B testing methodologies, and randomisation.

Data Visualisation: Expert capability in transforming data into insight using tools like Tableau (our primary reporting tool) or Power BI.

Behavioural Analytics: Experience tracking customer behaviour and events using tools like Google Analytics, Adobe Analytics, or Google Tag Manager.

Mindset: An autonomous, commercially-minded analytical thinker who thrives in a fast-paced, evidence-based product environment.

Nice to Have

Background in travel, transport, fast-moving digital marketplaces, or consumer-facing digital products.

Experience with causal inference techniques.

Exposure to Machine Learning model development or familiarity with AI development tools (e.g., Claude, Cursor, Windsurf).