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Analytics Rotational Program Jobs in Kenosha, WI

Nuclear Engineer

Lindenhurst, IL

$94K - $112K/yr

... program at Naval Reactors; rotational exposure to laboratories, prototypes, shipyards, and fleet ... analytical work. Education Education benefits are available through standard Navy programs such as ...

Nuclear Engineer

Knollwood, IL

$97K - $116K/yr

... program at Naval Reactors; rotational exposure to laboratories, prototypes, shipyards, and fleet ... analytical work. Education Education benefits are available through standard Navy programs such as ...

Nuclear Engineer

Hebron, IL

$95K - $114K/yr

... program at Naval Reactors; rotational exposure to laboratories, prototypes, shipyards, and fleet ... analytical work. Education Education benefits are available through standard Navy programs such as ...

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Analytics Rotational Program information

See Kenosha, WI salary details

$30.2K

$93.4K

$129.7K

How much do analytics rotational program jobs pay per year?

As of Jul 21, 2026, the average yearly pay for analytics rotational program in Kenosha, WI is $93,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,800.00 and $113,600.00 per year, depending on experience, location, and employer.

What is an Analytics Rotational Program?

An Analytics Rotational Program is a structured entry-level career path where participants rotate through different teams or departments within an organization, focusing on various analytics roles. These programs are designed to give recent graduates or early-career professionals broad exposure to different aspects of data analytics, such as business intelligence, data science, and data engineering. Participants typically spend several months in each rotation, gaining hands-on experience and developing key technical and business skills. The goal is to prepare individuals for more specialized or leadership roles in analytics upon completion of the program.

What are the key skills and qualifications needed to thrive in an Analytics Rotational Program, and why are they important?

To thrive in an Analytics Rotational Program, you need a solid grounding in data analysis, statistics, and problem-solving, typically supported by a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analytics tools like SQL, Python, R, Tableau, and experience with data visualization and reporting systems is commonly expected. Strong communication, adaptability, and teamwork skills help you effectively present insights and collaborate across diverse business units. These skills are crucial for quickly learning new domains, delivering actionable insights, and maximizing your impact in various analytic roles throughout the rotations.

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

AspectAnalytics Rotational ProgramData Analyst
CredentialsBachelor's degree in related field; often pursuing or with some certificationsBachelor's degree in data, statistics, or related field; certifications like SQL, Excel, or Tableau are common
Work EnvironmentRotational assignments across departments, learning diverse skillsFocused on analyzing data, creating reports, and supporting decision-making
Employer & Industry UsageCommon in large corporations, finance, consulting, techWidely used across industries for data-driven roles

The Analytics Rotational Program offers a structured, multi-department experience for those starting their careers, while Data Analysts focus on analyzing data and generating insights. Both roles require similar educational backgrounds and certifications, but the program emphasizes diverse exposure, whereas Data Analysts specialize in data interpretation.

What types of projects and teams can participants expect to work with during an Analytics Rotational Program?

Participants in an Analytics Rotational Program typically rotate through several departments, such as marketing analytics, operations, finance, or product management. Each rotation offers exposure to different data challenges, tools, and business objectives, allowing you to collaborate with diverse teams including data scientists, business analysts, and stakeholders from various functions. This structure helps you build a broad skill set, adapt to different work environments, and understand how analytics supports strategic decision-making across the organization. By the end of the program, you'll have a well-rounded foundation and be better positioned for specialized or leadership roles in analytics.