Analytics Engineer

Job Description

Responsibilities

• Data Foundations: Design, build, and maintain scalable data models that serve as the source of truth for the Consumer Product team.
• Cross-Functional Partnership: Partner with Business Stakeholders, Product Engineering, and Data Scientists/Data Engineers to understand data needs and translate complex business requirements into technical data solutions.
• Analytical Rigor and Visual Storytelling: Able to transform complex quantitative analysis into high-impact dashboards and custom data tools (e.g., Plotly Dash) that drive business decisions.
• Engineering Excellence: Deliver scalable data solutions by merging advanced SQL and Python proficiency with data engineering workflows, ensuring reliability through engineering best practices like CI/CD, testing, version control and monitoring.
• Business Strategy: Proactively bring data-driven perspectives to the table that challenge assumptions, uncover growth opportunities, and shape the future direction of Consumer Products.
• Operational Balance: Manage high-impact, long-term infrastructure projects while remaining agile enough to handle ad hoc data requests.

Who You Are:

• You have 5+ years of experience with an advanced degree in a quantitative field (e.g., Engineering, Mathematics, CS) or 8+ years of relevant professional experience.
• You are an expert in SQL and possess deep experience with Python for data manipulation and automation.
• You have a strong ability to translate ambiguous business requests into concrete data products.
• You have a strong bias to action, favoring iteration and rapid results over perfect but delayed solutions.
• You possess exceptional communication with technical and non-technical audiences; you can effectively influence senior stakeholders and explain complex technical concepts with clarity.
• You are proactively learning and adopting AI capabilities to supercharge your workflow.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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