Own and deliver strategic data model improvement projects across Bulk's marketing and commercial analytics stack, enhancing efficiency, performance, reliability, and scalability.
Design, re-architect and maintain ETL/ELT processes in DBT to clean, model and transform data for analytics and activation.
Lead the design, mapping and migration of data models and pipelines as our underlying platforms and data sources change and evolve, protecting data integrity and minimising disruption to reporting and activation.
Own the ingestion, validation and integration of marketing performance, transactional and product data into BigQuery from a range of source systems and platforms.
Work hands-on and in close partnership with external partners and the digital product team to scope, specify and implement data flows, event tracking and platform connections.
Build and maintain Tableau dashboards ensuring reporting continuity.
Partner with the E-commerce and merchandising teams to analyse on-site customer journeys and safeguard tracking and measurement as the digital estate develops.
Requirements
4+ years' experience in an analytics, BI or data engineering role, including time at a senior or managerial level, ideally within eCommerce, marketing or another consumer-facing environment.
Advanced SQL skills with deep, hands-on experience working with BigQuery or another cloud data warehouse such as Snowflake or Azure Synapse Analytics.
Strong experience building, optimising and maintaining scalable data models using DBT (or an equivalent transformation framework), alongside a solid understanding of ETL/ELT pipelines and data governance best practice.
Experience designing and evolving data architecture, integrating multiple data sources into a central warehouse, and ensuring data is reliable, well-structured and fit for business reporting and analysis.
A strong understanding of how eCommerce and digital platforms generate, structure and expose data, with experience working closely with engineering, product and digital teams to deliver robust data solutions.
Experience using Tableau (or another BI visualisation tool such as Power BI) to enable self-service reporting and business insight.
Comfortable managing external agencies or technical partners and collaborating across cross-functional teams to deliver data initiatives.
Able to translate technical concepts into clear, accessible language for non-technical stakeholders, particularly marketing and commercial teams.
A proactive, organised self-starter who thrives in a fast-paced, high-growth environment and enjoys solving complex problems.
Strong stakeholder management skills, with the ability to build relationships, influence decisions and bring people together around a shared goal.
Calm and methodical when balancing multiple priorities, bringing clarity and structure in environments where requirements evolve.
Consumer-focused, with a genuine interest in using data to better understand customers and drive commercial decision-making.
Nice to have Experience with Google Analytics (GA4).
A background in data engineering or solution architecture.
Experience within a D2C, retail or consumer goods business.
Tech Stack
Azure
BigQuery
Cloud
ETL
SQL
Tableau
Benefits
Monthly Bulk Bank Benefits Allowance 🏦 including a subsidised Gym Membership 🏋️