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Mid-level generalist product/data analyst role with common skills increases applicant competition.
Core data analytics skills are transferable, though software delivery metrics increase domain specificity.
Explicit 5+ years and mandatory Power BI, Excel, and SDLC knowledge make screening fairly strict.
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Analyze large, complex datasets across delivery, quality, and operations to identify trends, risks, and opportunities independently.
Directly engage and influence engineering and product delivery teams by presenting findings and facilitating understanding to drive measurable improvements.
Track adoption of recommended changes and escalate systemic issues with appropriate context and urgency.
5+ years of experience as data analyst, business analyst, or product analyst.
Proficiency in Microsoft Excel and working knowledge of Microsoft Fabric and Power BI including data modeling and dashboard development.
Solid understanding of software development lifecycle with experience analyzing agile delivery metrics (cycle time, throughput, defect escape rate).
Experience with Jira querying/reporting and strong communication skills in English to present to technical and non-technical audiences.
Operates autonomously with a proactive approach to identify key questions and persistently follow up with engineering teams until improvements are realized.
Experienced in navigating ambiguous, large-scale datasets and translating data into actionable narratives influencing engineering behavior.
Comfortable engaging with and educating technical teams in a global, distributed environment to improve data literacy and delivery outcomes.