Analytics Engineer - Global Investment Firm

Ever wonder what it's like to bridge the gap between data engineering and business intelligence at a global investment firm? Tired of roles where your analytics work doesn't directly impact strategy? This isn't your typical analytics engineering position. We're partnering with a global investment firm that's in the midst of a major data transformation journey, building the analytics infrastructure that powers AI, data science, and business intelligence across the organization. This is a chance to design analytics-ready datasets and build the pipelines that drive investment decisions. Working within a squad operating model, you'll collaborate directly with Data Scientists, BI Analysts, and Data Engineers to translate business logic into production-grade data assets. Your work will directly influence how the firm leverages analytics for strategic decision-making. Here's the high-level view: Analytics Engineer Location: Boston - Hybrid (2-3 days/week in office) Core Tech Stack: Azure Synapse/Snowflake, SQL, Python, Power BI/Tableau, dbt/Dagster, CI/CD pipelines The Mission: Design and maintain analytics-ready datasets that support AI/ML experimentation, predictive modeling, and BI visualizations. You'll build adaptable data pipelines, implement data validation and observability, and deliver clean, reusable datasets that bridge tactical prototyping with strategic data architecture. US citizen/GC holder - we can't offer sponsorship at this time. What they need: Proven experience in analytics engineering, BI development, or data pipeline design. Strong SQL/Python skills with cloud platform experience (Azure/Snowflake). Hands‑on expertise with BI tools and data modeling techniques. Understanding of analytics engineering principles with a business-focused mindset. Ready to transform data into insights that matter? No resume is needed to start. Just connect with me or apply today for a confidential conversation.

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