Data Analytics - OO1182 - Data Analytics - IC - F

Data Analyst II (Contract) Manchester (Hybrid) 📅 6-Month Contract (Potential Extension) About the Role We are looking for an enthusiastic and motivated Data Analyst to join a high-performing Data Science & Analytics team. This role will focus on designing and delivering data analytics solutions from concept through implementation, helping drive data-informed decision-making across a large-scale digital product environment. You will work with complex datasets to generate actionable insights, build scalable reporting solutions, measure product and business performance, and influence strategic decisions through data. This is an excellent opportunity for someone who enjoys combining technical analytics skills with business problem-solving in a fast-paced, collaborative environment. Key Responsibilities • Prepare, clean, validate, and analyse large datasets for business and product insights • Apply statistical analysis and modelling techniques to solve business problems • Build and maintain scalable reporting, dashboards, and visualisations • Translate business requirements into analytical solutions and meaningful data stories • Create reliable datasets that support advanced analysis and decision-making • Measure the impact of business initiatives, product changes, and experiments • Ensure high standards of data quality, accuracy, and governance • Collaborate closely with Product, Engineering, Data, and other business stakeholders • Communicate analytical findings clearly to both technical and non-technical audiences • Conduct peer reviews and contribute to analytics best practices • Support and mentor less experienced team members where appropriate Required Skills & ExperienceEssential • Proven experience in a Data Analyst, Analytics Engineer, or similar role • Strong SQL skills • Strong Python experience (PySpark highly desirable) • Experience working with Snowflake • Experience with data visualisation tools such as: • Tableau • Power BI • Data Studio • or equivalent platforms • Strong understanding of the end-to-end data lifecycle: • Data collection • Data cleansing • Data transformation • Aggregation • Validation • Reporting • Experience designing and analysing experiments (A/B testing, randomisation methodologies) • Strong stakeholder management and communication skills • Ability to explain complex technical findings to non-technical audiences • Strong critical thinking and problem-solving abilities • Ability to work independently and manage multiple priorities Desirable • Experience with customer behaviour analytics and event tracking • Experience with tools such as: • Google Analytics • Google Tag Manager • Adobe Analytics • Similar behavioural analytics platforms • Knowledge of causal inference methodologies • Experience working within cross-functional teams including Product, Engineering, Design, QA, and Business stakeholders • Exposure to machine learning workflows or model development • Familiarity with modern AI tools and platforms Preferred Background • Degree in Statistics, Mathematics, Econometrics, Data Science, Computer Science, or a related quantitative discipline • Advanced degree beneficial but not essential • Experience working in data-driven product or digital environments What We're Looking For The ideal candidate combines strong technical analytics skills with commercial awareness and excellent communication. You should be comfortable working autonomously, translating ambiguous business questions into analytical solutions, and influencing decisions through data-driven insights. If you enjoy solving complex problems, working with modern data tools, and collaborating across multiple teams, we'd love to hear from you.