Responsibilities
Data ingestion and transformation: Building pipelines, assessing data quality, cleansing. Includes identifying data sources and working with external providers, connecting the loyalty app ecosystem with POS data. Understand the business problem, generate models and actionable insights for business improvements. Work on customer insights, ingesting data from GA4 and building clean datasets that can be used for modelling and advanced analytics. Work closely with other members of the team, specifically Data Scientists to build robust models and present back to senior stakeholders within the business.Technology stack
Python SQL DBT Snowflake GA4Qualifications & Characteristics
Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Engineering,puter Science, etc.) Deep understanding of advanced data analytics and end-to-end engineering processes. Excellent interpersonal skills with the ability to plan, prioritise and deliver results. Familiarity with Big Data frameworks and visualization tools. A team player who wants to learn and grow.This role is based near Birmingham, 3 days a week on average.
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