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Product Analytics Insights Leader

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: BlackCube Labs
Full Time position
Listed on 2026-10-19
Job specializations:
  • Business
    Business Intelligence, AI Business & Operations, Data Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems and Fractalites are the ones building that future.

Location:

Minneapolis, MN (preferred); relocation support available for the right candidate.

The Opportunity

As Product Analytics & Insights Leader, you will report to the Director, Product Management for the AI product team and partner closely with product management, engineering, UX, research, and business stakeholders. You will set the standard for how the platform is measured, turn signals into clear recommendations, and make sure leadership has one consistent, trusted view of performance.

You will:
  • Own the measurement strategy: define success metrics, KPI definitions, baselines, and review cadences that connect adoption, engagement, retention, satisfaction, and business performance to product objectives, supported by observability metrics that explain the story behind the outcomes.
  • Direct AI-enabled analytics: lead AI-assisted analysis and automated executive dashboards with reliable refreshes and verified narratives, focusing analyst effort on exceptions, anomalies, root causes, and decision implications rather than routine reporting.
  • Evaluate launches and impact: use always-on instrumentation and, where appropriate, experimentation to separate observed change from credible evidence of impact, and recommend corrective action.
  • Turn user signals into insight: integrate employee feedback, surveys, support trends, experience metrics, and product behavior into a coherent view of unmet needs and friction, partnering with UX and research to prioritize journey improvements.
  • Shape roadmap and investment: translate evidence into recommendations on sequencing, feature prioritization, and investment trade-offs; develop and challenge business cases; use targeted market and competitive research to test strategic assumptions; and assess realized value after launch to decide where to scale, refine, or stop.
  • Own the executive performance story: produce concise presentations, reports, and visualizations that explain impact, underlying drivers, confidence in the evidence, and recommended decisions, surfacing unfavorable findings as clearly as positive ones.
  • Build and lead the team: lead and develop analytics staff, set priorities, coach analytical reasoning and executive communication, and plan capacity so the team stays strategic rather than becoming a reporting-only function.
  • Automate responsibly: replace manual analytics and reporting work with reusable AI workflows, prompts, and agents, with clear review standards for source traceability, SQL validation, reconciliation, and narrative accuracy before outputs reach decision forums.
What Makes This Role Compelling
  • Decision-shaping influence: your analysis will directly guide roadmap priorities and investment decisions for an enterprise AI platform that shapes how employees work.
  • AI-first by design: you will lead an analytics function where AI systems handle the heavy lifting on data pulls and synthesis, so your team can focus on judgment, insight, and impact.
  • Executive visibility: you will own the performance narrative brought to senior leadership and decision forums.
  • A values-driven company: Fractal is consistently recognized as a Great Place to Work, with a culture built around curiosity, diversity, and long-term thinking.
Qualifications & Experience
  • Analytics experience: 8+ years in analytics, product analytics, business analysis,…
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