Act as the bridge between raw data and business insights
Create the systems that empower our data teams, building pipelines and data models that transform messy, siloed data into clean, accessible, and reliable datasets
Play a key role in how we make informed decisions by providing the single source of truth that powers our dashboards, reports, and analytical tools
Requirements
Bachelor's degree or higher in a quantitative discipline such as Computer Science, Mathematics, Engineering, or a related field
3+ years of professional experience in analytics engineering, data warehousing, or data modeling. Experience in an e-commerce environment is a strong plus
Strong understanding of modern data warehousing concepts, including fact tables, dimensions, star schemas, and slowly changing dimensions
Expert-level proficiency in SQL and hands-on experience with the data modeling layer of modern BI and data visualization tools (e.g., Looker, Tableau)
Proven hands-on experience in data modeling, data lake technologies, and large-scale data warehousing architecture
Experience applying software engineering best practices to data, including version control (Git) and CI/CD
Ability to translate complex data concepts and model designs for both technical and non-technical stakeholders, enabling them to tell stories with data
An agile mindset for data product development
Benefits
A hybrid working model with flexibility
A customizable FlexBenefits budget
Comprehensive wellbeing support
Personalized training allowance and learning opportunities
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