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Predictive Analytics Jobs in Minnesota (NOW HIRING)

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

This role requires knowledge of and experience with AI systems including foundation models, AI agents for reasoning and orchestration, ML models for predictive analytics, personalization and ...

Accountabilities & Responsibilities Exploratory analysis, hypothesis generation, feature engineering, model construction, and validation Build and validate predictive models using appropriate machine ...

SAP PM EAM Consultant

Nashwauk, MN · On-site

$120 - $160/hr

Knowledge of IoT integration and predictive analytics capabilities for asset management Technical & Functional Skills * Proficiency in SAP IMG (Implementation Guide) and Customizing for maintenance ...

Consulting on using business intelligence data for predictive analytics and facilitating implementation of new tools and data marts. PNC Employees take pride in our reputation and to continue ...

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Predictive Analytics information

See Minnesota salary details

$26.4K

$110.4K

$196.4K

How much do predictive analytics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for predictive analytics in Minnesota is $110,402.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,800.00 and $120,500.00 per year, depending on experience, location, and employer.

What is predictive analytics?

A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to develop models that forecast future trends and behaviors. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to interpret data and support decision-making. Strong analytical skills and knowledge of data management are essential for success in this field.

What are some typical challenges faced in a predictive analytics position?

Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.

What do predictive analytics do?

Predictive analytics involves analyzing historical data to identify patterns and forecast future outcomes. In a predictive analytics role, professionals use statistical models, machine learning algorithms, and data visualization tools to support decision-making and improve business strategies.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analyst, data scientist, business analyst, and risk analyst. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes, often requiring skills in statistical modeling, machine learning, and tools like Python or R.

What are the key skills and qualifications needed to thrive in predictive analytics?

To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

What are the most commonly searched types of Predictive Analytics jobs in Minnesota?

The most popular types of Predictive Analytics jobs in Minnesota are:

What job categories do people searching Predictive Analytics jobs in Minnesota look for?

The top searched job categories for Predictive Analytics jobs in Minnesota are:

What cities in Minnesota are hiring for Predictive Analytics jobs?

Cities in Minnesota with the most Predictive Analytics job openings:

Infographic showing various Predictive Analytics job openings in Minnesota as of August 2026, with employment types broken down into 1% Internship, 94% Full Time, 2% Part Time, and 3% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $110,402 per year, or $53.1 per hour.

Talent Analytics Sr Analyst (Location Flexible)

RSM Global

Minneapolis, MN • On-site

$91K - $121K/yr

Full-time

Posted 8 days ago


Job description

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, culture and talent experience and our ability to be compelling to our clients. You'll find an environment that inspires and empowers you to thrive both personally and professionally. There's no one like you and that's why there's nowhere like RSM.
Join our Talent Analytics team within the Talent Technology Center of Excellence. Here, you will be instrumental in leveraging predictive analytics to transform how we understand and manage talent across the organization.
As a Senior Analyst, you will not only handle technical analysis and data modeling but also shape the future of our analytics capabilities by spearheading projects that forecast trends and outcomes.
What You Will Do
  • Leveraging HR systems and database tools, develop and deliver ad-hoc, recurring, and on-demand / self-service analysis solutions.
  • Working with Power BI to build and maintain self-service dashboards or to craft visualizations for stakeholder presentations.
  • Advanced Predictive Analytics & Modeling: Contribute to predictive models using machine learning and natural language processing techniques. Your work will directly contribute to strategic decision-making and enhancing our predictive analytics capabilities.
  • Proactive Insight Generation: As a Talent Analytics Sr. Analyst it will be up to you to leverage your analysis skills to provide proactive insights to provide the business. The key to success in this role is your ability to break down complex concepts and tell a story from an analysis.
  • Strategic Project Management: Designing, estimating, and personally executing an analysis plan based on requirements you gather from key stakeholders. In this role you will have the opportunity to lead and manage multiple strategic projects that have a real impact on business outcomes.
  • Innovative Tool Implementation: Work closely with the Talent Systems and Technology teams to drive the adoption of cutting-edge analytics tools, optimizing them to meet evolving business needs.
  • Problem Solving: Use analytics to solve key talent business questions and provide support for core functions by incorporating proactive outreach on trends and external benchmarking.

Responsibilities
  • Using HR systems and database tools to develop and deliver ad hoc, recurring, and on-demand / self-service analysis and data solutions.
  • Independently or with a team, exploring and implementing new ways to take on data or technical challenges.
  • Designing, estimating, and personally executing an analysis plan based on a high-level functional issue description or business question.
  • Describing your own analysis and the insights you draw from it to others in HR or the business.
  • Recommending business process or system improvements to reporting capabilities and influence system owners to incorporate changes.
  • Peer reviewing SQL code/reporting and performing data validation as related to data acquisition for analytic purposes.
  • Ensuring products are delivered that are audience appropriate, adhering to HR standards for data sharing and meeting the client's need accurately.

Education
  • Bachelor's degree in Computer Science, Mathematics, Management Information Systems, Data Science, Statistics, Engineering or similar from an accredited college/university (Required)
  • Master's degree in Statistics, Mathematics, Economics, Human Resources, Operations Research, Data Science or similar from an accredited college/university (Preferred)

Technical/Soft Skills
Required:
  • Minimum of 3 years using data transformation tools such as Alteryx
  • Minimum of 3 years in using SQL to query large datasets
  • Minimum of 2 years of solutioning, preparing, and visualizing data for non-technical stakeholders using Power BI (report creation, DAX, power query, and data modeling)

Preferred:
  • Experience using RStudio or Python for automation or data processing such as statistical modeling, machine learning, or data mining
  • Strong analytical and quantitative problem-solving ability
  • Excellent communication, relationship skills and a strong team player
  • An understanding of core Human Resources functions, typical workforce management processes and related data
  • Experience in HR related systems: Workday, Cornerstone, Qualtrics, VNDLY, ServiceNow
  • Experience with other presentations tools such as PowerPoint and Visio
  • Experience defining, structuring, and documenting data
  • Experience with process documentation

At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life's demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmus.com/careers/working-at-rsm/benefits.
All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.
Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.
RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.
RSM will consider for employment qualified applicants with arrest or conviction records. For those living in California or applying to a position in California, please click here for additional information.
At RSM, an employee's pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.
Compensation Range: $81,900 - $139,700
Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.

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About RSM International

Sourced by ZipRecruiter

RSM International is a leading global network of audit, tax, and consulting firms. Headquartered in Chicago, Illinois, US, the firm focuses on providing an exceptional range of professional services to empower clients to move forward with confidence. RSM International was established in 1964 and has since grown to encompass firms in more than 120 countries. The firm's mission is guided by a deep understanding of what clients need to help drive their businesses forward, combined with the international reach of RSM firms worldwide.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

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