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# Data Analyst II

- **Company:** Computer Futures
- **Location:** Manchester, UK
- **Experience:** Experienced
- **Salary:** £126,477.0
- **Contract:** Temporary contract
- **Skills:** A/B Testing, Artificial Intelligence, Business Analytics Applications, ARM Architecture, Data Validation, Data Cleansing, Data Normalization, Cursor, Information Lifecycle Management, Python (Programming Language), Machine Learning, Power BI, SQL Databases, Tableau (Software), Sql Optimization, Snowflake, Agentic-AI, Pyspark, Data Analytics, Claude
- **Published:** October 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=56adc94ee4a22925

## About the Role

* 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.

## Description

* 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., Team Environment You'll work within a collaborative analytics function alongside:
 * Product Managers
 * Data Analysts
 * Data Engineers
 * Software Engineers
 * Product Designers
 * Business Stakeholders