Product Analytics Insights Leader
Minnesota
- Pay
$150,000–200,000/yearAnnual period assumed — pay source
Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $150,000 – $200,000. In addition, for the current performance period, you may be eligible for a discretionary bonus. Benefits:
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDefine success metrics, KPI definitions, and baselines tied to product objectives
Evaluate launches and recommend corrective action using instrumentation and experiments
Integrate employee feedback, surveys, and product behavior to find unmet needs and friction
Translate evidence into roadmap sequencing and investment trade-off recommendations
Lead and develop analytics staff and oversee AI-assisted dashboards and reports
From the employer’s posting
define success metrics, KPI definitions, baselines, and review cadences
use always-on instrumentation and, where appropriate, experimentation to separate observed change from credible evidence of impact
integrate employee feedback, surveys, support trends, experience metrics, and product behavior into a coherent view of unmet needs and friction
translate evidence into recommendations on sequencing, feature prioritization, and investment trade-offs
lead and develop analytics staff, set priorities, coach analytical reasoning and executive communication
What you’ll bring
All qualificationsCore experience
- Hands-on SQL and data analysis: the ability to validate complex queries, investigate data quality issues, and critically evaluate AI-generated analysis.
Qualification wording
Hands-on SQL and data analysis: the ability to validate complex queries, investigate data quality issues, and critically evaluate AI-generated analysis.
Tools in this posting
- SQL
- Looker
- Power BI
- Tableau
Source — Tool mentions in context
- 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
- Analytics leadership: 3+ years leading analytics programs or teams, including setting analytical priorities, establishing measurement practices, coaching analysts, and delivering outcomes across functions. - Hands-on SQL and data analysis: the ability to validate complex queries, investigate data quality issues, and critically evaluate AI-generated analysis. - KPI frameworks and business cases: demonstrated experience shaping KPI frameworks, evaluating product performance, and developing evidence-based prioritization or business-case recommendations.
Strong Preferences - AI workflow and BI tooling: experience designing and scaling automated workflows or agents with Copilot Studio, Power Automate, or equivalent tools, and delivering decision-ready dashboards in Power BI, Looker, or Tableau. - Product analytics and experience measurement: depth in experimentation and KPI frameworks, plus user research, journey mapping, or customer/employee experience measurement, integrating behavioral data with qualitative research.
Benefits in the posting
Full benefits wording- As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.
From the employer’s posting.
Posting record
Report an errorActively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 16, 2026 · 13 days ago
- Recorded sightings
- 23
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on fractal.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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Job description
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.
As we grow our work helping enterprises build and scale AI products, we are looking for a Product Analytics & Insights Leader to own the analytics strategy, measurement operating model, and executive performance story for an enterprise AI platform focused on employee experience. You will connect product behavior, employee experience, and business outcomes to explain where the platform creates value, where it falls short, and what leadership should do next.
This is not a reporting role. It is a decision-shaping leadership position for someone who can influence roadmap and investment priorities through evidence, lead and develop a team of analysts, and direct AI-first systems that handle data pulls, synthesis, and first-draft narratives, while owning the analytical judgment brought to every decision forum.
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, consulting, or research, including substantial work interpreting large datasets and translating findings into product or business decisions.
- Analytics leadership: 3+ years leading analytics programs or teams, including setting analytical priorities, establishing measurement practices, coaching analysts, and delivering outcomes across functions.
- Hands-on SQL and data analysis: the ability to validate complex queries, investigate data quality issues, and critically evaluate AI-generated analysis.
- KPI frameworks and business cases: demonstrated experience shaping KPI frameworks, evaluating product performance, and developing evidence-based prioritization or business-case recommendations.
- Executive communication and influence: proven ability to build clear executive narratives and influence cross-functional decisions without relying on reporting authority.
- Judgment with AI-assisted work: sound understanding of analytical limitations, uncertainty, and the human verification that AI-assisted analysis requires.
- Education: Bachelor's degree in analytics, business, information systems, computer science, engineering, statistics, economics, or a related field.
Strong Preferences
- AI workflow and BI tooling: experience designing and scaling automated workflows or agents with Copilot Studio, Power Automate, or equivalent tools, and delivering decision-ready dashboards in Power BI, Looker, or Tableau.
- Product analytics and experience measurement: depth in experimentation and KPI frameworks, plus user research, journey mapping, or customer/employee experience measurement, integrating behavioral data with qualitative research.
- Conversational AI and ML-enabled products: experience with digital assistants, agents, or machine-learning-enabled products, ideally within complex enterprise product, technology, or transformation initiatives.
- Durable measurement practices: experience developing analytics staff and building cross-functional measurement practices that last.
- Commitment to building diverse, inclusive teams.
Who Thrives Here
The Fractalite mindset is curious, rigorous, and impact-driven. You will thrive in this role if you:
- Find patterns, explain why they matter, and recommend concrete action.
- Combine analytical depth with product thinking, and earn trust through clear, evidence-based influence.
- Surface uncertainty and challenge assumptions constructively, even when the findings are unwelcome.
- See AI not as a novelty, but as a core capability whose output must be verified and used responsibly.
Pay:
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $150,000 – $200,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.
Benefits:
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.
Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Source details
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $150,000 – $200,000. In addition, for the current performance period, you may be eligible for a discretionary bonus. Benefits:
- Location & working pattern
Minnesota
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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