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Entry Level Forecasting Analyst Jobs in Maple Grove, MN

Develop and maintain forecasting databases/tools and provide analysis to leaders on outcomes ... RSM does not intend to hire entry level candidates who will require sponsorship now OR in the ...

Develop and maintain forecasting databases/tools and provide analysis to leaders on outcomes ... RSM does not intend to hire entry level candidates who will require sponsorship now OR in the ...

... analytics, position responsibilities and forecasting. Ensure policies, processes and legal ... Recruit early careers intern and entry level recruitment including coordinating campus events ...

Senior Associate - Oracle SCM

Minneapolis, MN

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Responsibilities - Analyzing client needs to implement Oracle supply chain and operations software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Entry Level Forecasting Analyst information

See Maple Grove, MN salary details

$13

$28

$55

How much do entry level forecasting analyst jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for entry level forecasting analyst in Maple Grove, MN is $28.44, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $30.77 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry level forecasting analysts, and how can new hires overcome them?

Entry level forecasting analysts often face challenges such as interpreting large datasets, understanding various forecasting models, and communicating complex findings to non-technical stakeholders. New hires can overcome these obstacles by actively seeking mentorship from experienced colleagues, participating in training sessions, and leveraging analytical tools to streamline their workflow. Building strong collaboration with team members in finance, operations, and sales also helps ensure forecasts are accurate and actionable.

What are the key skills and qualifications needed to thrive as an entry level forecasting analyst, and why are they important?

To thrive as an Entry Level Forecasting Analyst, you need strong analytical skills, a solid understanding of statistics, and a bachelor's degree in a quantitative field such as mathematics, economics, or data science. Familiarity with forecasting software, Excel, and data visualization tools like Tableau or Power BI is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These skills and qualities are important because they enable accurate predictions, informed decision-making, and clear communication of complex data findings.

What does an entry level forecasting analyst do?

An Entry Level Forecasting Analyst is responsible for analyzing data to predict future trends, such as sales, demand, or financial outcomes, to help organizations make informed business decisions. They use statistical models, data analysis tools, and historical information to develop accurate forecasts. These analysts often work closely with other departments to gather data, interpret results, and present findings in clear reports or presentations. This role typically serves as a starting point for a career in data analysis, business intelligence, or supply chain management.

What is the difference between Entry Level Forecasting Analyst vs Data Analyst?

AspectEntry Level Forecasting AnalystData Analyst
Required CredentialsBachelor's in Economics, Finance, or related field; basic Excel and statistical skillsBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentFinancial, retail, or manufacturing sectors focusing on sales, demand, or financial forecastingVarious industries including healthcare, marketing, finance, analyzing data trends and insights
Employer & Industry UsageUsed by companies needing demand predictions and financial planningUsed across industries for data analysis, reporting, and decision support

While both roles involve data analysis skills, the Entry Level Forecasting Analyst primarily focuses on predicting future trends using statistical models, often within finance or retail sectors. In contrast, Data Analysts handle broader data interpretation and reporting across various industries. The roles share foundational skills but differ in their specific focus and application.

What are popular job titles related to Entry Level Forecasting Analyst jobs in Maple Grove, MN?

For Entry Level Forecasting Analyst jobs in Maple Grove, MN, the most frequently searched job titles are:

What cities near Maple Grove, MN are hiring for Entry Level Forecasting Analyst jobs?

Cities near Maple Grove, MN with the most Entry Level Forecasting Analyst job openings:

Infographic showing various Entry Level Forecasting Analyst job openings in Maple Grove, MN as of July 2026, with employment types broken down into 85% Full Time, 9% Part Time, 1% Temporary, and 5% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $59,145 per year, or $28.4 per hour.

Data Analytics Associate

RSM

Saint Paul, MN • On-site

$66K/yr

Full-time

Posted 4 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.

The Data Analytics Associate develops and analyzes data requirements, integrates large data sets, and creates business intelligence frameworks to identify critical insights. They design real-time reporting and visual representations of KPIs, maintain technical specifications, and provide forecasting analysis to leaders, while continuously discovering new improvement opportunities.

Responsibilities:

  • Developing data and storage requirements, reporting, analytics, and delivery methods in data standards and metadata.
  • Develop, analyze, and evaluate data to create and maintain business intelligence frameworks.
  • Integrate and mine large data sets, connecting data from disparate sources to identify critical insights and pragmatic data solutions.
  • Maintain/update/create technical specifications (ex. data mapping, data flows, and dashboard content).
  • Develop real-time reporting for analyzing KPIs.
  • Design and create analysis and reports that include summaries, graphs, diagrams, and other visual representations in BI or excel.
  • Develop and maintain forecasting databases/tools and provide analysis to leaders on outcomes.
  • Discover and define new processes for improvement and opportunities.

Required Qualifications:

  • Bachelor’s degree or equivalent experience. Accounting or Finance major preferred.
  • Advanced Microsoft Office skills with exposure to Visual Basic
  • Ability to communicate effectively both verbally and written.
  • Ability to work autonomously and part of a team.
  • Effective organization and time management skills.
  • Solid understanding of developing data requirements.
  • Knowledge of Excel, Power BI, SQL, and understanding of concepts of database structures and data querying.

Preferred Qualifications:

  • Previous experience with SQL preferred.
  • Previous experience with a Business Intelligence (BI) tool preferred.
  • Previous experience analyzing data and predicting future outcomes preferred

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: $66,100 - $110,000

Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.