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Sas Analyst Jobs in Michigan (NOW HIRING)

TestingXperts

Technical Business Analyst

Dearborn, MI · On-site

... SAS modeling, data extract delivery, additional product support as related to consumption of OIP data Lead operation support team of analyst and technicians, including off shore resources Responsible ...

IPS Technology Services

Systems Analyst II

Southfield, MI · On-site

$80 - $100/hr

Experience working with large data sets and data visualization tools Preferred Skills/Experience * 3+ years working with analytical software such as SAS or Tableau * Experience working with Medical ...

MSD

Solid knowledge of statistical analysis methodologies and experimental design. * Strong project management skills. * Solid knowledge of statistical and data processing software e.g. SAS and/or R.

New

Merck

Solid knowledge of statistical analysis methodologies and experimental design. * Strong project management skills. * Solid knowledge of statistical and data processing software e.g. SAS and/or R.

New

Meijer Inc.

Advanced Analyst II

Grand Rapids, MI · On-site

$75 - $115/hr

The Analyst role contributes to these efforts by developing and applying advanced analytic ... SAS * R * SQL * PySpark * Numpy * Pandas * Scikit Learn * TensorFlow * PyTorch * AutoTS * Prophet

Meijer, Inc.

Advanced Analyst II

Grand Rapids, MI · On-site

The Analyst role contributes to these efforts by developing and applying advanced analytic ... Python, Databricks, Azure ML, Azure Cognitive Service, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit ...

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How much do sas analyst jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for sas analyst in Michigan is $43.48, according to ZipRecruiter salary data. Most workers in this role earn between $32.07 and $51.11 per hour, depending on experience, location, and employer.

What is a SAS analyst?

SAS Analysts are professionals who use the Statistical Analysis System (SAS) software to analyze data, generate reports, and support business decision-making. They work across industries such as healthcare, finance, and marketing to interpret large datasets, develop statistical models, and provide actionable insights. Their expertise in SAS programming allows them to clean, manipulate, and visualize data efficiently. SAS Analysts often collaborate with other data professionals and stakeholders to ensure accurate and meaningful data analysis. They also play a vital role in automating data processes and improving data quality.

What does a SAS analyst do?

As a SAS analyst, your main responsibilities are to collect and interpret data and to use SAS software tools to draw conclusions from data. Your job duties include updating SAS programs, managing databases and large data sets, and evaluating business environments. Your job also entails writing reports and providing synopses of your analysis to supervisors, colleagues, and clients. You can earn qualifications such as SQL certification to expand your foundational knowledge and open up opportunities for similar jobs in the industry.

What are the key skills and qualifications needed to thrive as a SAS analyst, and why are they important?

To thrive as a SAS Analyst, you need a strong background in statistics, data analysis, and programming, typically with a degree in mathematics, statistics, computer science, or a related field. Proficiency in SAS software, SQL, and data visualization tools, along with certifications like SAS Certified Base Programmer, is highly valued. Strong problem-solving, attention to detail, and effective communication skills set top performers apart in this role. These skills are crucial for accurately analyzing complex data, generating actionable insights, and communicating findings to stakeholders.

What are some common challenges faced by SAS analysts when working with large datasets, and how can they be addressed?

SAS Analysts often work with very large and complex datasets, which can pose challenges such as slow processing times, memory limitations, and difficulties in data cleaning or transformation. To address these issues, analysts typically use efficient coding practices, such as indexing, data partitioning, and leveraging SAS procedures optimized for large data. Collaborating with database administrators and IT teams can also help optimize data storage and retrieval. Continuous learning and staying updated with the latest SAS tools and best practices can make handling large datasets more manageable.

What is the difference between Sas Analyst vs Data Analyst?

AspectSas AnalystData Analyst
Required CredentialsOften requires SAS certification, SQL, and statistical knowledgeTypically requires SQL, Excel, and sometimes certifications like CAP or Microsoft certifications
Work EnvironmentPrimarily in industries like finance, healthcare, and insurance with a focus on SAS softwareBroader industries including marketing, finance, and tech, using various tools
Employer & Industry UsageCommon in companies using SAS for analytics and reportingWidely used across industries for data analysis and visualization

While both roles involve data analysis, a Sas Analyst specializes in using SAS software for statistical modeling and reporting, often within specific industries like healthcare or finance. A Data Analyst has a broader scope, utilizing various tools and techniques across multiple industries. The choice depends on the tools and industry focus you prefer.

Is SAS analyst in high demand?

SAS analysts are in high demand across industries such as healthcare, finance, and government due to their expertise in data analysis and statistical programming. Strong skills in SAS, along with knowledge of data management and analytics tools, can lead to numerous job opportunities and competitive salaries.

What is the salary of a SAS data analyst?

The salary of a SAS data analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with advanced skills and certifications can earn higher salaries.
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Sas Analyst jobs near you
Infographic showing various Sas Analyst job openings in Michigan as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, 5% Contract, and 1% Nights. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $90,435 per year, or $43.5 per hour.

Business Analytics Analyst

Blue Cross Blue Shield of Michigan

Detroit, MI • On-site

$70 - $90/hr

Other

Posted 2 days ago

New

Blue Cross Blue Shield of Michigan rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

196th of 315 rated insurance

Job description

We are hiring for a Business Analytics Analystinour Analytics Center of Excellence (ACoE) – the power hub of analytics for Blue Cross Blue Shield of Michigan.

This is a great opportunity to make a unique but powerful impact using your exploratory analysis skills and expertise in statistical methods to determine what types of programs should be pursued, to solve problems and/or capitalize on new opportunities.

About the Role:

As a Business Analytics Analyst,you will help develop hypotheses and data analysis plans to determine the best approach for conducting descriptive analytics, create savings models, evaluate program outcomes, and size potential opportunities.

  • Translate business ideas into testable hypotheses with guidance.
  • Contribute to statistical analyses and data visualizations based on the broader analysis plan.
  • Explore and interpret data patterns to evaluate program and business hypotheses.
  • Query and manipulate both structured and unstructured data to support analysis.
  • Help distill analytical findings into actionable insights for business decision-making.
  • Use approved generative AI tools, when appropriate and in accordance with policy, to support coding, documentation, and summarization, while ensuring accuracy and quality.

Responsible for analyzing data to inform key strategic business decisions. Under general supervision, performs descriptive analyses, develops savings models, and evaluates program outcomes and size potential opportunities.

  • Support the translation of business ideas to working hypotheses.
  • With supervision, produce statistical analyses and visualizations from the broader analysis plan.
  • Identify and analyze data patterns to test business and program hypotheses.
  • Perform data querying and manipulation of structured and unstructured data sets.
  • Support the synthesis of analysis results into insights for business decisions.
QUALIFICATIONS
  • Bachelor's Degree in Statistics, Economics, Actuarial Science, Informatics, Epidemiology, Biostatics, Data Science, or other related field is required. Master’s degree or PhD in related field is preferred.
  • A minimum of one (1) year of related work experience.
  • Previous experience programming (at least one language) is required.
  • Previous experience working in the healthcare industry is preferred.
  • Basic knowledge of how health care claims are billed and how the health system works.
  • Strong analytical, organizational, and problem-solving skills.
  • Basic knowledge about different evaluation study designs (i.e., case-control, cohort), methodologies for controlling for population differences in studies (i.e., regression analysis, propensity score matching), and programming (SQL, SAS, R or Python)
  • Basic knowledge of statistical testing techniques (i.e. ANOVA t-tests, chi-squared, etc.).
  • Intermediate skills in Microsoft Access, Word, PowerPoint and Excel.
  • Ability to effectively interface and present to management at all levels of the organization.
  • Ability to work independently and in a team environment.
Job Info
  • Job Identification 14400
  • Legal Employer Blue Cross Blue Shield of Michigan Mutual Insurance Company
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