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Remote Data Analyst Rotational Program Jobs in St Louis, MO

BJC HealthCare

Business Analyst - 340b

Saint Louis, MO · Remote

Eligible Remote States: * Alabama Iowa North Carolina Wisconsin * Arkansas Kansas Ohio * Florida ... Responsibilities include data analysis, reporting, issue tracking/management, status reporting ...

JLL

BI Analyst / Ingenious SME

Saint Louis, MO · Remote

This remote position offers the opportunity to make a direct impact on client satisfaction and operational excellence through your expertise in data visualization, analysis, and continuous process ...

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All JobsData Analyst Rotational Program JobsRemote Data Analyst Rotational Program JobsRemote Data Analyst Rotational Program Jobs in St. Louis, MO

Remote Data Analyst Rotational Program information

See St Louis, MO salary details

$33.1K

$80.3K

$132.2K

How much do remote data analyst rotational program jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote data analyst rotational program in St. Louis, MO is $80,345.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

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.
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Remote Data Analyst Rotational Program jobs near you

Remote Data Analyst/ Dashboard Developer

TriOptus LLC

Saint Louis, MO • On-site, Remote

Other

Re-posted 27 days ago

Job description

Job Code - Data Analyst / Dashboard Developer
Duration - 3 year contract
Description: The Continuous Improvement team is seeking an energetic and experienced individual for a position in data analytics. This role is responsible for analyzing data, identifying, and resolving data discrepancies, across multiple business applications specializing in transforming reporting and analytics across key areas of the business. This role will be involved in improving, and arming our leaders with the right reports, tools, and insights to drive the business. It entails applying rigor to the existing reporting and analytics landscape and understanding how to realize benefits across visualization, automation, and consumption of information that ultimately promote a stronger and healthier data culture.
Overview: Our team is responsible for the continuous improvement of the lean agile operating model and delivery teams to optimize Strategic Platform Team's effectiveness of executing on agile principles with a focus on Testing, DevOps and Release Management. The team develops and tracks process performance measures, identifies and implements process requirements, drives process improvements and adoption of Best Practices.
Responsibilities
  • Develop, design, and maintain PowerBI dashboards and analytics
  • Collect, refine, and prepare data for analytics and visualization
  • Manage and utilize the PowerBI platform to extract meaningful insights from it
  • Prepare reports using various visualization and data modeling methods
  • Connecting data sources, importing data, and transforming data for Business intelligence.
  • Determines and documents data mapping rules for movement of medium to high complexity data between applications.
  • Investigates and resolves data issues across platforms and applications, including discrepancies of definition, format and function.
  • Discuss the requirements effectively with the client teams, and with internal teams.

Top Skills
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or another quantitively-oriented degree
  • Minimum of Three (2) years of experience leveraging Tableau or PowerBI.
  • Minimum of Three (2) years of experience leveraging advanced SQL in a previous role.
  • Minimum of One (1) year of experience leveraging automation and ETL jobs to assist in data transformation and clean-up.
  • Minimum of One (1) year of experience using ML (machine learning), statistical predictive modeling, multivariate/regression, clustering, time series/survival analysis.
  • Preferred: Mastery of SQL and Python (NumPy, Pandas)
  • Experience working with extremely large datasets in a fast-paced, entrepreneurial and fluid environment.
  • Experience in client engagements, interpreting client's business challenges, and recommendations for business stakeholders.
  • Experience developing visualization such as reports, charts, tables, and other visual aids in support of findings.
  • Strong analytical and problem-solving skills with a demonstrable passion to dig into terabytes of data and quickly construct tools.
  • Proven excellence at formulating, understanding, and solving complex, non-routine problems.
  • Outstanding organization and presentation skills.
  • Strong written and verbal communication skills.

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