Data Analyst
Data Analyst Location: Manchester (2 days onsite, 3 days WFH) Contract Duration: 6 months Key Job Responsibilities and Duties: - Responsible for working autonomously on consuming data, preparing it for analytical use, translating business problems to data stories and leveraging input from business stakeholders to determine the right technical solutions to deliver customer value. - Responsible for being flexible in adopting existing internal and external Data Analytics approaches, proposing and spotting opportunities to apply new approaches and expanding their technical competencies and their peers’ when a more efficient way presents itself. - Responsible for collaborating with peers in related crafts (i.e.Data Engineering), anticipating data needs to ensure smooth progress of their individual projects. - Responsible for ensuring quality of their own work by validating it through peer review. - Responsible for independently identifying and managing stakeholders in operational, project-based, and managerial roles. Effectively communicates, addresses stakeholder needs, and conveys complex analysis results in a clear manner. Begins to guide junior colleagues in stakeholder engagement. - Responsible for acting as a force multiplier for junior peers in the team by actively helping them with their craft through means of coaching, mentoring and setting a good example. Must have: - Must be proficient in Python/Pyspark, Snowflake, SQL - Must have strong working knowledge in experimentation (A/B, randomisation), causal inference is nice to have - Must have strong working knowledge in data visualisation tools and best practices - Tableau, PBI or equivalents - Must have strong working knowledge in end to end data life cycle from data collection, cleansing, aggregation, validation and reporting. Previous experience in behavioural tracking is nice to have. - Must have strong critical thinking and communication skills. Experience in working with cross functional team (Product, Engineer, Testing, Design, Copy Writing) is nice to have Nice to have: - Previous exposure to latest AI development trends and tools (Claude, Cortex, Cursor, Windsurf etc.) - Previous exposure to ML model development and engineering