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Hr Predictive Analytics Jobs in Minnesota (NOW HIRING)

Bioinformatics Scientist

Minneapolis, MN · On-site

$110K - $120K/yr

... end-to-end analysis, scale-up, and predictive models. * Apply statistical predictive models ... REVTORPYK is approved to treat adults with HR+/HER2- advanced breast cancer that progressed on ...

... end-to-end analysis, scale-up, and predictive models. * Apply statistical predictive models ... REVTORPYK is approved to treat adults with HR+/HER2- advanced breast cancer that progressed on ...

Senior Performance Analyst

Minneapolis, MN · Remote

$91K - $121K/yr

Design and implement end-to-end analytics solutions including data processing, automation ... Experience developing predictive models * Strong facilitation skills for leading data gathering and ...

Starting at $24.00/hr- $35.00/hr depending on experience Sign-On Bonus: $4,000.00 New, easy-to ... Completing preventative, predictive, and reactive industrial maintenance throughout the facility

Starting at $24.00/hr- $35.00/hr depending on experience Sign-On Bonus: $4,000.00 New, easy-to ... Completing preventative, predictive, and reactive industrial maintenance throughout the facility

Starting at $24.00/hr- $35.00/hr depending on experience Sign-On Bonus: $4,000.00 New, easy-to ... Completing preventative, predictive, and reactive industrial maintenance throughout the facility

Starting at $24.00/hr- $35.00/hr depending on experience Sign-On Bonus: $4,000.00 New, easy-to ... Completing preventative, predictive, and reactive industrial maintenance throughout the facility

Starting at $24.00/hr- $35.00/hr depending on experience Sign-On Bonus: $4,000.00 New, easy-to ... Completing preventative, predictive, and reactive industrial maintenance throughout the facility

Starting at $24.00/hr- $35.00/hr depending on experience Sign-On Bonus: $4,000.00 New, easy-to ... Completing preventative, predictive, and reactive industrial maintenance throughout the facility

Starting at $24.00/hr- $35.00/hr depending on experience Sign-On Bonus: $4,000.00 New, easy-to ... Completing preventative, predictive, and reactive industrial maintenance throughout the facility

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Showing results 1-20

Hr Predictive Analytics information

What are predictive analytics in HR?

Predictive analytics in HR involves using statistical models and data analysis techniques to forecast future workforce trends, such as employee turnover, performance, and hiring needs. HR professionals and analysts leverage tools like machine learning and data visualization to make data-driven decisions that improve talent management and organizational effectiveness.

What is the difference between Hr Predictive Analytics vs HR Data Analyst?

AspectHr Predictive AnalyticsHR Data Analyst
Required CredentialsDegree in HR, Data Science, or Analytics; experience with statistical toolsDegree in HR, Business, or Data Analysis; proficiency in Excel and SQL
Work EnvironmentData-driven HR teams, analytics departmentsHR departments, data teams within organizations
Employer & Industry UsageUsed for forecasting HR trends, workforce planningUsed for reporting, data interpretation, and insights
Common Search & Comparison IntentUnderstanding predictive capabilities in HRAnalyzing HR data for insights

While both roles involve working with HR data, Hr Predictive Analytics focuses on forecasting future HR trends using advanced statistical models, whereas HR Data Analysts primarily interpret current data to generate reports and insights. The predictive role requires stronger skills in analytics and modeling, often with specialized certifications, while the analyst role emphasizes data interpretation and reporting skills.

Is 40 too late for data science?

For an HR Predictive Analytics role, age is not a barrier to entering data science. Success depends on acquiring relevant skills such as statistical analysis, programming (e.g., Python, R), and understanding HR data, regardless of age. Many professionals transition into data science later in their careers by gaining certifications and practical experience.

What is the highest paid job in HR?

The highest paid roles in HR typically include HR Director, VP of Human Resources, or Chief Human Resources Officer (CHRO), with salaries often exceeding six figures. These positions require extensive experience, strategic leadership skills, and often involve overseeing large teams and organizational policies.

Does HR analytics pay well?

HR Predictive Analytics professionals typically earn competitive salaries that vary based on experience, education, and location. Skilled analysts with expertise in data modeling and tools like Python or R often command higher pay, especially in larger organizations or industries with a strong focus on data-driven decision-making.
What cities in Minnesota are hiring for Hr Predictive Analytics jobs? Cities in Minnesota with the most Hr Predictive Analytics job openings:
Infographic showing various Hr Predictive Analytics job openings in Minnesota as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Head of People Analytics & Data

U.S. Bancorp

Minneapolis, MN • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


U.S. Bank rating

8.2

Company rating: 8.2 out of 10

Based on 359 frontline employees who took The Breakroom Quiz

52nd of 170 rated banks


Job description

Head Of People Analytics & Data

The Head of People Analytics & Data is a Senior Vice President role that is responsible for leading U.S. Bank's workforce intelligence capability transforming data into actionable insights that drive business decisions, workforce strategy, and organizational effectiveness. This role owns people analytics, research, and the HR & Community (HR&C) data strategy, ensuring the organization is data-driven, insight-oriented, and prepared to leverage AI at scale. The leader will define how data is structured, governed, and activated across HR&C, enabling high-quality decision-making and AI readiness while maintaining strong alignment with enterprise data strategy and regulatory expectations. This role will report to the Head of Human Resources Strategy and Operations.

Key Responsibilities

Enterprise People Analytics & Insight Leadership

  • Define and lead the end-to-end people analytics strategy aligned to HR & Community and business priorities.
  • Deliver actionable insights that inform workforce, talent, and business decisions.
  • Translate complex data into clear, compelling narratives for executive leaders.
  • Advance analytics capabilities from descriptive reporting to predictive and forward-looking insights.
  • Develop scenario modeling and forecasting capabilities to anticipate future workforce needs.

Data & AI Readiness

  • Define and execute the HR&C data strategy to support scalable analytics, reporting, and AI use cases.
  • Ensure data structures, quality, and accessibility support advanced analytics and AI adoption.
  • Partner with product and technology teams to enable data-driven and AI-enabled HR&C solutions.
  • Advance the organization's readiness for AI through strong data foundations and scalable design.

Data Governance & Stewardship

  • Represent the HR&C domain in enterprise data governance, ensuring alignment with data standards and controls.
  • Establish clear ownership of workforce data definitions, quality, and lifecycle management.
  • Ensure compliance with regulatory, privacy, and ethical standards in all data and analytics activities.
  • Promote responsible and ethical use of employee data across HR&C.

Product & Platform Integration

  • Partner with HR&C Product teams to embed insights into employee-facing solutions and experiences.
  • Enable scalable delivery of insights through dashboards, tools, and data products.
  • Drive adoption of analytics through intuitive, accessible outputs.

Leadership & Team Development

  • Lead a high-performing, multidisciplinary team spanning analytics, data strategy, and research.
  • Build talent in advanced analytics, data science, and data strategy.
  • Create a culture of performance, accountability, and continuous improvement.

Leadership Expectations

Operate like an owner; lead with urgency; think strategically and ambitiously; keep the customer at the center; communicate clearly and powerfully; build high-performing teams; demonstrate integrity; and show genuine care for employees and stakeholders.

Skills

Enterprise People Analytics Strategy

  • Define and lead an enterprise people analytics vision aligned to business priorities, workforce strategy, and organizational effectiveness.
  • Translate critical business questions into a focused analytics roadmap that drives measurable decisions not just reporting.
  • Continuously benchmark external trends and evolve the analytics agenda to keep the function future-ready and competitive.

Executive Influence & Storytelling

  • Translate complex workforce data into clear, compelling, executive-ready narratives that drive action.
  • Influence senior leaders through sharp business acumen, structured recommendations, and data-informed storytelling.

Workforce Intelligence, Research & Forecasting

  • Turn workforce, talent, and business data into actionable insights that inform hiring, retention, mobility, performance, and organization design decisions.
  • Advance the function to diagnostic, predictive, and forward-looking analytics.
  • Build scenario modeling and forecasting capabilities that anticipate workforce needs, risks, and skill gaps before they become business issues.

HR&C Data Strategy & AI Readiness

  • Define and execute an HR&C data strategy that enables scalable analytics, automation, and AI-powered decision support.
  • Identify and prioritize high-value AI use cases tied to employee experience, manager effectiveness, and business outcomes.
  • Strengthening the data, systems, and workflow foundations required to move from AI experimentation to repeatable enterprise capability.

Qualifications

  • Proven senior leadership ability in people analytics, workforce strategy, data, or related fields.
  • Proven ability to lead enterprise analytics strategy and influence senior executives.
  • Deep expertise in people analytics, workforce planning, and data governance.
  • Strong understanding of data management, data quality, and privacy considerations.
  • Experience building scalable analytics solutions and data-driven capabilities.
  • Strong business acumen and ability to connect data insights to business outcomes.

Location Expectations:

This role requires working from a U.S. Bank location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)
  • Basic term and optional term life insurance
  • Short-term and long-term disability
  • Pregnancy disability and parental leave
  • 401(k) and employer-funded retirement plan
  • Paid vacation (from two to five weeks depending on salary grade and tenure)
  • Up to 11 paid holiday opportunities
  • Adoption assistance
  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $193,035.00 - $227,100.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.


What U.S. Bank employees say

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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