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Remote Data Analyst Rotational Program Jobs in Illinois

ESSENTIAL FUNCTIONS * Assist in the analysis of claim data to provide insights into prospective ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

... data analytics, data science, measurement and insights, advertising, AdTech, consulting or similar industries- Proficiency using SQL, Python or similar analytics program- Bachelor's degree ...

Senior Commercial Insurance Analyst - Remote

Ohio, IL ยท Remote

$83K - $110K/yr

Performs complex data analysis for commercial insurance related to overall business objectives ... Please note we are hiring for this role remote anywhere in the United States with the following ...

Senior Commercial Insurance Analyst - Remote

Virginia, IL ยท Remote

$86K - $114K/yr

Performs complex data analysis for commercial insurance related to overall business objectives ... Please note we are hiring for this role remote anywhere in the United States with the following ...

Senior Commercial Insurance Analyst - Remote

Oregon, IL ยท Remote

$82K - $109K/yr

Performs complex data analysis for commercial insurance related to overall business objectives ... Please note we are hiring for this role remote anywhere in the United States with the following ...

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Remote Data Analyst Rotational Program information

What is the difference between Remote Data Analyst Rotational Program vs Remote Data Analyst?

AspectRemote Data Analyst Rotational ProgramRemote Data Analyst
CredentialsBachelor's degree in Data Science, Statistics, or related field; some programs may require internshipsBachelor's degree in relevant field; certifications like SQL, Python, or Tableau are a plus
Work EnvironmentStructured program with rotations across departments; mentorship and training includedTypically focused on a specific team or project; independent work with collaboration
Employer & Industry UsageOffered by large corporations and tech companies as entry-level developmentCommon in various industries including finance, healthcare, and tech for ongoing roles

The Remote Data Analyst Rotational Program is designed for early-career professionals to gain diverse experience across departments, often with structured training. In contrast, a Remote Data Analyst role usually involves specialized, ongoing responsibilities within a specific team. Both roles require similar educational backgrounds and technical skills, but the program offers broader exposure and development opportunities.

What can I expect in terms of team collaboration and mentorship while participating in a Remote Data Analyst Rotational Program?

In a Remote Data Analyst Rotational Program, you can expect to work closely with multiple teams across different business units, gaining exposure to a variety of projects and analytical tools. Regular virtual meetings, collaborative platforms, and scheduled check-ins with mentors are common, ensuring you receive guidance and feedback despite the remote setting. Many programs pair participants with dedicated mentors or buddies, and encourage networking with peers and leaders to enhance learning. This structure not only helps you build technical and soft skills, but also enables you to understand which team or project aligns best with your career interests for future growth.

What is a Remote Data Analyst Rotational Program?

A Remote Data Analyst Rotational Program is a structured, entry-level opportunity where participants work in various data analyst roles across different departments or teams within a company, all while working remotely. These programs typically last from several months to a couple of years, allowing participants to gain a broad range of analytical skills, exposure to different business functions, and experience with diverse data tools and methodologies. The rotational aspect helps employees identify their strengths and interests, while building a strong foundation for a future career in data analysis. Participants also benefit from mentorship, networking, and professional development opportunities throughout the program.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst Rotational Program participant, and why are they important?

To thrive in a Remote Data Analyst Rotational Program, you need strong analytical abilities, proficiency in statistics, and a bachelor's degree in a related field such as mathematics, computer science, or economics. Familiarity with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau or Power BI), and sometimes certifications in analytics or data science are highly valued. Excellent communication, problem-solving skills, and adaptability are crucial for collaborating across different teams and quickly learning new business domains. These skills ensure you can extract actionable insights from data and contribute effectively to diverse projects in a dynamic, remote setting.
What are the most commonly searched types of Data Analyst Rotational Program jobs in Illinois? The most popular types of Data Analyst Rotational Program jobs in Illinois are:
What are popular job titles related to Remote Data Analyst Rotational Program jobs in Illinois? For Remote Data Analyst Rotational Program jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst Rotational Program jobs in Illinois look for? The top searched job categories for Remote Data Analyst Rotational Program jobs in Illinois are:
What cities in Illinois are hiring for Remote Data Analyst Rotational Program jobs? Cities in Illinois with the most Remote Data Analyst Rotational Program job openings:
Data Analytics Developer - Education & Employment (Remote Eligible)

Data Analytics Developer - Education & Employment (Remote Eligible)

Mathematica

Chicago, IL โ€ข On-site, Remote

$78K - $100K/yr

Full-time

Posted 20 days ago


Job description

Data Analytics Developer - Education & Employment (Remote Eligible)
About Mathematica:
Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development.
Mathematica offers our employees competitive salaries and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength.
Read more about our benefits here: Benefits at a Glance.
At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.
We are seeking an intellectually curious Data Analytics Developer in any of our locations with experience in data management and statistical programming for data analytic and research projects in the Education and Employment area. The Data Analytics Developer will contribute to intensive data wrangling, advanced programming, administrative data collection and/or data management tasks. They will also apply knowledge of programs, policy, and/or data content, as well as econometric and statistical methods, when they acquire, clean, manipulate, manage, and analyze data. These tasks will most often be accomplished using a combination of statistical programming packages like R and Stata, as well as SQL and Python, on both cloud-hosted and more traditional platforms. Individuals with an interest in confronting the challenges of working with large, complex data sets, an interest in data manipulation and analysis, and a desire to become a subject matter expert in education and employment data are strongly encouraged to apply.
Responsibilities:
  • Write programs in R, Stata, or Python to extract, transform, and wrangle data; create variables for use in analysis.
  • Perform statistical analyses and prepare tables, graphs, and visualizations
  • Providing creative and best practice solutions for data processing optimization
  • Ensuring data quality through all stages of data processing with rigorous quality control
  • Iteratively informing requirements and specifications, which will include articulating findings and working with researchers to adjust specifications and code as interim results are found

Required Qualifications:
  • A bachelor's degree in economics, data analytics, computer science, statistics, mathematics, or another relevant field
  • 3-5 years of programming experience in a professional or academic environment.
  • Programming experience using R, Stata, Python, or SQL
  • Strong organizational and communication skills, and the ability to work with others.
  • Excellent written and oral communication skills, including an ability to explain technical concepts to a non-technical audience.
  • Subject-matter knowledge of education and/or employment data
  • Has the ability to pass a background investigation or security clearance for federally contracted project work

This position offers an anticipated annual base salary range of $78,000 to $100,000.
To apply, please submit cover letter, resume, location preferences, salary requirements, and code samples via our careers page. Please include a code sample (up to three) which best represents your current programming skills. If you include a GitHub, please call out the specific samples you want to highlight. If you do not have code available in these preferred languages, please send a code sample in an alternate language.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, age, national origin, religion, orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.
At Mathematica, we understand the importance of building relationships with colleagues. If you're not located near one of our offices but would like opportunities to meet up with co-workers, we offer coworking spaces where available. Ask your Talent Acquisition partner for more information about this opportunity and whether it's an option in your area.
Any offer of employment will be contingent upon passing a background check. Various federal agencies with whom we contract require that staff successfully undergo security clearance as a condition of working on the project. If you are assigned to such a project, you will be required to obtain the requisite security clearance. Additionally, if you participate in or complete the application process and are denied, Mathematica may choose to terminate your employment.
We take pride in our employees and in their commitment to excellence. We encourage staff to collaborate in developing creative solutions to difficult problems and to share the responsibility and enjoyment of carrying out complex projects. This collegial spirit has helped us earn our reputation for innovative and high-quality work.