What We Do

📍Trusted Data Sources: Develop and maintain foundational data models that serve as the single source of truth for analytics across the organization. 📍Actionable Insights: Empower stakeholders by translating business requirements into scalable data models, dashboards, and tools. 📍Cross-Functional Collaboration: Partner with engineering, data science, product, and business teams to ensure alignment on priorities and data solutions. 📍Scalable Data Products: Build frameworks, tools, and workflows that maximize efficiency for data users, while maintaining high standards of data quality and performance. 📍Outcome-Focused Solutions: Use modern development and analytics tools to deliver value quickly, while ensuring long-term maintainability.

What you’ll be doing (ie. job duties):.

📍Analytics engineer is a hybrid Data Engineer/Data Scientist/Business Analyst role that has the expertise to understand data flows end to end, and the engineering toolkit to extract the most value out of it indirectly (building tables) or directly (solving problems, delivering insights). 📍Expectations 📍Be the expert: Quickly build subject matter expertise in a specific business area and data domain. Understand the data flows from creation, ingestion, transformation, and delivery.

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