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Remote, generalist mid-level data role with popular skills attracts many applicants, increasing competition.
Core SQL, Python, and analytics skills are transferable across industries, so sensitivity is low.
Explicit 3–5 years plus mandatory SQL, Python, and analytics delivery raises shortlisting strictness.
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Own end-to-end data analysis projects from ambiguous business questions to actionable insights and implementation.
Partner with product, business, and engineering teams to identify opportunities, design experiments, and drive measurable business improvements.
Develop scalable analytical pipelines, dashboards, and AI-enabled analytics solutions to enhance decision-making quality and speed.
3-5 years overall experience including internships, with 1-3 years relevant in data analytics, product analytics, or data science.
Strong proficiency in SQL and Python for handling large, complex datasets and automation.
Experience delivering AI or analytics solutions that influenced business decisions or improved processes.
Overlap with Mountain Time zone business hours is required for the first two hours of each working day.
Experienced working in fast-paced, high-outcome environments with ability to navigate ambiguity to deliver impact.
Skilled at collaborating cross-functionally with product managers, business leaders, engineers, and operations teams.
Able to build scalable, automated analytics solutions rather than relying on manual repetitive analyses.