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Mid-level, metro hybrid role with broad analytics and delivery skills attracts strong applicant competition.
Core analytics skills are transferable, but SDLC and engineering delivery metrics bias toward software/product environments.
Explicit 5+ years plus mandatory Power BI/DAX, Excel, SDLC and Jira experience creates moderate filtering.
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Analyze complex, high-volume datasets across delivery, quality, and operational areas to identify trends, risks, and opportunities affecting engineering and product teams.
Communicate analytical insights to technical and non-technical stakeholders, influencing development teams directly to drive improvements and adoption of data-backed recommendations.
Proactively identify critical questions from data, provide training to build data literacy, and monitor the impact of recommended changes over time.
5+ years experience in data analyst, business analyst, or product analyst roles.
Proficiency in Microsoft Excel, Microsoft Fabric, and Power BI including data modeling and dashboard development.
Solid understanding of software development lifecycle and agile delivery metrics such as cycle time, throughput, and defect escape rates.
Experience with Jira for querying and reporting delivery data; strong written and verbal English communication.
Operates autonomously with strong initiative, identifying meaningful questions and driving follow-through without waiting for direction.
Deeply understands software engineering delivery metrics and can contextualize data to influence engineering team behaviors.
Skilled in clearly communicating complex data insights to diverse audiences, balancing technical detail with actionable narratives and constructive persistence.