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Metro location, generalist analytics leadership title, and broad BI/AI skillset create high applicant competition.
Prefers software/SaaS domain knowledge though core analytics skills remain reasonably transferable across industries.
Managerial leadership, BI tooling, and team-building requirements are mandated despite no explicit years, producing medium strictness.
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Lead software analytics strategy, reporting, and AI-enabled business intelligence to drive growth and operational performance.
Own development and evolution of analytics frameworks measuring software business performance and deliver executive reporting with scalable, automated dashboards.
Build, lead, and develop a high-performing analytics team partnering cross-functionally to produce actionable insights supporting data-driven decisions.
Bachelor's degree in Engineering, Business, Analytics, Data Science, Information Systems, or related field.
Experience leading analytics, business operations, software business performance, or related functions with team leadership experience.
Proficiency in business intelligence tools such as Power BI or Tableau and ability to analyze large, complex datasets.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in cross-functional collaboration and influencing decisions across multiple organizational levels in software or technology-focused businesses.
Skilled in implementing AI and advanced analytics solutions to improve forecasting and automate insights.
Familiar with software business operations, data ecosystems, and capable of developing metrics standardization and data governance frameworks.