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ShiftKey · 1 day ago

Product Data Analyst II

United States

Full-time

Remote

Entry, Mid Level

2+ years exp

ShiftKey is a platform that is disrupting the way healthcare facilities find licensed and certified professionals to fill available shifts. As a Product Data Analyst II, you will partner with product squads to shape experiment design, analyze product performance, and provide actionable insights to guide business decisions.

Health CareMedicalSchedulingSoftware

Responsibilities

Partner closely with two core product squads and their product managers to understand goals, define success metrics, and translate product ideas into concrete analytical plans

Design and execute experiments on new and existing features, including scoping test populations, determining rollout strategies, and monitoring 'do no harm' tests where sample sizes are smaller

Write high-quality, efficient SQL (primarily in Snowflake via Hex) to investigate product questions, build custom analyses, and create clear, reusable queries that power reporting and decision-making

Define tracking requirements for new features and collaborate with engineers and designers to ensure the right data is captured from day one, enabling robust analysis over the lifecycle of a feature

Analyze experiment and feature performance data, synthesize findings into clear narratives, and make concrete, data-backed recommendations to product managers and business stakeholders (including when to roll back changes)

Collaborate closely with the analytics team (including your manager and peer analysts) for code reviews, feedback, and shared best practices, while independently driving your own roadmap and owning outcomes in your domain

Qualification

Advanced SQLData analysisExperiment designSnowflakeBias for actionClear communicationOwnership mindset

Required

2+ years of professional experience as a data analyst or in a similar analytical role

Advanced SQL skills in modern data warehouses (Snowflake or similar) for writing complex, performant queries

Proven experience performing data-driven analyses beyond dashboards, including experiments, deep dives, and generating insights that inform product decisions

Strong ownership mindset with the ability to independently identify opportunities, scope analytical work, and drive projects from ambiguous questions to clear recommendations

High bias for action and 'get things done' mentality, comfortable working in lean teams where speed, responsiveness, and reliable execution are critical

Clear communication skills to explain complex analyses and tradeoffs in a concise, business-friendly way to business stakeholders