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Applied Analytics Jobs in Michigan (NOW HIRING)

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How much do applied analytics jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for applied analytics in Michigan is $45.55, according to ZipRecruiter salary data. Most workers in this role earn between $33.12 and $56.78 per hour, depending on experience, location, and employer.

What jobs make $1,000,000 a year?

In applied analytics, high-level roles such as Chief Data Officer, Chief Analytics Officer, or senior data science executives can earn close to or exceeding $1 million annually, especially in large corporations or consulting firms. These positions typically require extensive experience, advanced skills in data modeling, leadership, and strategic decision-making, often supplemented by advanced degrees and certifications. Compensation at this level may include base salary, bonuses, stock options, and other incentives.

What are the key skills and qualifications needed to thrive as an Applied Analytics professional, and why are they important?

To thrive as an Applied Analytics professional, you need strong quantitative skills, a background in statistics or data science, and often at least a bachelor’s degree in a related field. Proficiency with analytic tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI is typically required. Strong problem-solving abilities, effective communication, and the capacity to translate complex data insights into actionable business recommendations are standout soft skills. These competencies are crucial because they enable professionals to extract meaningful insights from data and drive informed decision-making within organizations.

What are applied analytics?

Applied analytics involves using data analysis, statistical models, and technology to solve real-world business problems and inform decision-making. Professionals in this field gather, process, and interpret large sets of data to uncover trends, predict outcomes, and improve organizational performance. Applied analytics is used in various industries like finance, healthcare, marketing, and logistics to optimize processes and drive strategic initiatives.

Is applied statistics a good career?

Applied statistics is a strong career choice for those interested in analyzing data to solve real-world problems. It often involves skills in programming, data visualization, and statistical software, with demand across industries such as finance, healthcare, and technology. The field offers opportunities for growth, specialization, and competitive salaries.

What are applied analytics jobs?

Applied analytics jobs involve using data analysis techniques, statistical methods, and software tools to solve real-world business problems. These roles often require skills in data visualization, programming, and understanding of industry-specific data, with common tools including Excel, SQL, and Python or R.

What jobs pay 500,000 a year in the US?

In applied analytics, high-paying roles such as senior data scientists, analytics directors, or chief data officers can reach or exceed $500,000 annually, especially in large corporations or tech firms. These positions typically require advanced skills in data modeling, machine learning, and leadership, along with extensive experience and often a master's or PhD degree.

How does an Applied Analytics professional typically collaborate with other departments to drive data-informed decisions?

Applied Analytics professionals often work cross-functionally, partnering with teams such as marketing, operations, finance, and product development. They translate complex data findings into actionable insights tailored to each department's objectives, often presenting results in clear, accessible formats. Regular meetings and collaborative projects are common, ensuring that analytics solutions directly address business needs. This teamwork not only enhances the impact of data-driven recommendations but also provides valuable exposure to different aspects of the organization.
What are popular job titles related to Applied Analytics jobs in Michigan? For Applied Analytics jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Applied Analytics jobs in Michigan look for? The top searched job categories for Applied Analytics jobs in Michigan are:
Operations Research Analyst-Direct Hire

Operations Research Analyst-Direct Hire

US Department of the Treasury

Portage, MI

$74K/yr

Other

Posted 6 days ago


U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

237th of 693 rated public administrative organizations


Job description


WHAT IS DATA AND ANALYTICS?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

Position(s) are to be filled in the following area(s):
Data and Analytics (DAO)- Research, Applied Analytics & Statistics (RAAS)
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the cut-off date as shown in announcement under the 'How to Apply' section.
BASIC REQUIREMENTS GS-5 AND (All GRADES): A degree in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus.
Evaluation of Education:The primary requirement of operations research work is competence in the rigorous methods of scientific inquiry and analysis rather than in the subject matter of the problem. Therefore, applicants should have sufficient knowledge of applied mathematics to understand and use the fundamental concepts and techniques of operations research methods of analysis. In addition, some positions may require knowledge of a specific subject area.Courses acceptable for qualifying for operations research positions may have been taken in departments other than Operations Research, e.g., Engineering (usually Industrial Engineering), Science, Economics, Mathematics, Statistics, or Management Science.The following are illustrative of acceptable courses: optimization; mathematical modeling; queueing theory; engineering; physics (except descriptive or survey courses); econometrics; psychometrics; biometrics; experimental psychology; physical chemistry; industrial process analysis; managerial economics; computer science; measurement for management; mathematical models in social phenomena; and courses that involved application of operations research techniques and methodologies to problems of management, marketing, systems design, and other specialized fields; or other comparable quantitative analysis courses for which college-level mathematics or statistics is a prerequisite. Courses in theory of probability and statistics are highly desirable but are not specified as minimum educational requirements because to do so would possibly exclude some applicants who would otherwise be well qualified.
SPECIALIZED EXPERIENCE GS-11 Level: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-09 grade level in the Federal service. Specialized experience for this position includes:
  • Experience with mathematical reasoning/statistical project assignments that require operations research requirements and techniques. For example, experience would show a good understanding of operations research processes, procedures, and rules.
  • Experience utilizing mathematical methods and scientific principles in order to accomplish studies, develop a variety of mathematical models and provide management with solutions or recommendations or the equivalent.
  • Experience using multivariate techniques and pertinent mathematical, simulation, economics, econometric and statistical operations research techniques.
  • Experience researching and gathering data from a variety of sources and using it to analyze technical projects and program areas.
  • Experience using negotiation and conflict resolution techniques to collaborate in a team environment.
  • Experience using oral and written techniques to develop/prepare presentations and deliver briefings, and experience managing/leading teams to develop analysis and final deliverables.
  • Experience with a declarative, set-based query language for managing and manipulating data in relational databases (examples include: SQL) or object-oriented programming language for data analysis (examples include: Python, R, SAS).
OR
Education
: You may substitute education for specialized experience as follows: Three (3) full years of progressively higher-level graduate education leading to a Ph.D. or equivalent doctoral degree in a field of study such as: operations research; or a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence as described in the basic requirements.
OR
A Ph.D. or equivalent doctoral degree in a field of study such as: operations research; or a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence as described in the basic requirements.
OR Combination of Education and Experience: You may qualify by a combination of experience and education. Options for qualifying based on a combination will be identified in the online questions.
SPECIALIZED EXPERIENCE GS-12 Level: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-11 grade level in the Federal service. Specialized experience for this position must include the following:
  • Experience with operations research project assignments that required a wide range of experience in mathematical reasoning requirements and techniques pertinent to the position to be filled. This experience is generally demonstrated by assignments where the applicant analyzed alternative approaches in the process of advising management concerning major aspects of mathematical methods and scientific principles utilized to accomplish complex studies to provide management with viable solutions or recommendations.
  • Experience with multivariate techniques and mathematical, simulation, economics, econometric, and statistical operations research techniques to use in the context of organizational policy decisions or business problems.
  • Experience with the Internal Revenue Code, Treasury and Office of Management and Budget (OMB) regulations and procedures, administrative provisions, and the Internal Revenue Manual in order to ensure guidelines are applied in analysis.
  • Experience assisting or conducting research using standard methods for identifying the probable causes of cost/workload variances and procedures for resolving variances.
  • Experience with oral and written communications to complete data analysis and communicate analytical findings through conference calls, emails, graphic displays, and oral presentations.
  • Experience using a declarative, set-based query language for managing and manipulating data in relational databases (examples include: SQL). Experience using an object-oriented programming language for data analysis (examples include: Python, R, SAS).
See education information for Specialized experience qualification for GS 13 Level.
For more information on qualifications please refer to OPM's Qualifications Standards.Education:
SPECIALIZED EXPERIENCE GS-13 Level: In addition to the basic requirements, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position must include:
  • Experience with operations research project assignments that required a wide range of experience in mathematical reasoning requirements and techniques pertinent to the position to be filled. This experience is generally demonstrated by assignments where the applicant analyzed alternative approaches in the process of advising management concerning major aspects of mathematical methods and scientific principles utilized to accomplish complex studies to measure program effectiveness and efficiency and to identify probable causes of cost/workload variance.
  • Experience conducting data analysis and communicating analytic findings to stakeholders through written products (e.g., emails, reports) and oral communication methods such as conference calls and presentations.
  • Experience applying the Internal Revenue code, Treasury and OPM regulations, administrative requirements and guidance to ensure analysis, recommendations or actions comply with established guidelines.
  • Experience consulting with supervisors, other operations research analysts, and subject-matter specialists to advise them on all aspects of problem-related studies and assignments, including the translation of broad and specific technical problems and considerations into language which allows for decisions and actions to be taken.
  • Experience using software (e.g., Excel) to develop analytical spreadsheets, prepare reports, and create materials that support operations to analyze and interpret technical or program data, develop tracking mechanisms and prepare technical reports or briefings used by management to evaluate performance, resolve issues or recommend improvements.
  • Experience using a declarative, set-based query language for managing and manipulating data in relational databases (examples include: SQL). Experience using an object-oriented programming language for data analysis (examples include: Python, R, SAS).
  • Experience manipulating datasets in relational databases (e.g., Compliance Data Warehouse, Enterprise Data Platform)

A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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