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Data Analyst II

Computer Futuresmanchester, greater manchester🇬🇧United Kingdom

Quick overview

SeniorityMid Senior
Work modeOn Site
Locationmanchester, greater manchester, United Kingdom
Stakeholder ManagementSQLApache SparkSnowflakeTableauPythonMachine LearningPower BIData Analysis

Job description

About this job

Key facts

Job Title

Data Analyst II

Role type

Contract

Start date

ASAP

Remote friendly

No

Location

Manchester, England, United Kingdom

Salary

Up to 486 per day

Data Analyst

Manchester (Hybrid - 2 Days Onsite)
Contract until May 2027 | Inside IR35 | 486.45 per day

Overview

We're looking for an experienced Data Analyst to join a high-performing Data Science & Analytics team, supporting the development of data-driven products and customer experiences. This is an excellent opportunity to work with large-scale customer, product, and operational datasets, helping stakeholders make informed decisions through actionable insights and advanced analytics.

The successful candidate will combine strong technical skills in SQL, Python, and modern analytics platforms with the ability to partner effectively across Product, Engineering, Design, and Business teams.

Key Responsibilities

  • Design and deliver end-to-end analytics solutions from concept through to implementation.
  • Prepare, cleanse, validate, and analyse large and complex datasets.
  • Translate business requirements into actionable insights and recommendations.
  • Build scalable reports, dashboards, and visualisations for key stakeholders.
  • Apply statistical techniques and experimentation methodologies, including A/B testing.
  • Collaborate with cross-functional teams to identify opportunities and solve business challenges.
  • Develop reproducible analytical workflows and datasets.
  • Ensure accuracy and quality through validation and peer review processes.
  • Present findings clearly to both technical and non-technical audiences.
  • Support and mentor junior analysts, sharing knowledge and best practices.
  • Utilise emerging AI tools and technologies to improve analytical efficiency.

Required Skills & Experience

Essential

  • Minimum 5 years' experience in Data Analytics (or 3+ years with a relevant PhD).
  • Advanced SQL skills.
  • Strong Python and/or PySpark experience.
  • Experience working with Snowflake.
  • Proven experience across the full data lifecycle, including:
    • Data collection
    • Data cleansing
    • Data modelling
    • Data aggregation
    • Data validation
    • Reporting
  • Experience working within technology-focused environments.
  • Strong understanding of experimentation methodologies, including A/B testing and randomisation.
  • Experience with data visualisation tools such as Tableau, Power BI, or similar.
  • Excellent stakeholder management and communication skills.
  • Strong analytical and problem-solving capability.
  • Experience working within cross-functional product teams.

Desirable

  • Experience with causal inference techniques.
  • Exposure to behavioural tracking and customer analytics.
  • Experience using AI tools such as Claude, Cursor, Cortex, Windsurf, or similar.
  • Experience developing AI agents or automation solutions.
  • Exposure to Machine Learning or Data Science environments.

Team Environment

You'll work within a collaborative analytics function alongside:

  • Product Managers
  • Data Analysts
  • Data Engineers
  • Software Engineers
  • Product Designers
  • Business Stakeholders

This is a data-driven environment where analytics plays a central role in product development, customer experience optimisation, and strategic decision-making.

Contract Details

  • Role: Data Analyst II
  • Location: Manchester (Hybrid)
  • Office Attendance: 2 days per week
  • Contract Length: Until May 2027
  • Hours: 37.5 per week
  • IR35 Status: Inside IR35
  • Rate: 486.45 per day
  • Start Date: ASAP (up to one month's notice considered)

Ideal Candidate

The ideal candidate will be a commercially minded Data Analyst who enjoys owning projects from discovery through to delivery. You'll be confident translating complex datasets into clear business recommendations and thrive in a fast-paced, product-led environment.

Candidates with experience in product analytics, experimentation, customer behaviour analysis, and AI-enabled analytics workflows will be particularly well suited to this opportunity.

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