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Remote Data Analyst Rotational Program Jobs in Overland, MO

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics to ...

Data Engineer Manager

Saint Louis, MO · On-site +1

$111K - $133K/yr

... programs and projects Manage teams performing analysis, design, development, testing, and support of data acquisition, integration, and serving applications to deliver high quality data assets and ...

Technical Program Manager

Saint Louis, MO · Remote

$132K - $170K/yr

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... Strong analytical mindset with experience using data to drive operational improvement. * Technical ...

Data Science Tutor

Saint Louis, MO · Remote

$18 - $40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Showing results 41-60

Remote Data Analyst Rotational Program information

See Overland, MO salary details

$31.7K

$77.2K

$127K

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

As of Sep 2, 2026, the average yearly pay for remote data analyst rotational program in Overland, MO is $77,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,400.00 and $90,600.00 per year, depending on experience, location, and employer.

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 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 are the key skills and qualifications needed to thrive as a remote data analyst rotational program participant?

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 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 job categories do people searching Remote Data Analyst Rotational Program jobs in Overland, MO look for?

The top searched job categories for Remote Data Analyst Rotational Program jobs in Overland, MO are:

What cities near Overland, MO are hiring for Remote Data Analyst Rotational Program jobs?

Cities near Overland, MO with the most Remote Data Analyst Rotational Program job openings:

Technical Business Analyst (Senior - Security/Software Focus)

Stellar IT Solutions LLC

Saint Louis, MO • Remote

$60 - $70/hr

Contractor

Posted 19 days ago


Job description

Position: Technical Business Analyst (Senior - Security/Software Focus)

Location: Remote

Duration: 6-12+ Months Contract

Role Overview

We are seeking highly skilled Senior Technical Business Analysts with strong knowledge of software and security environments. This role goes beyond traditional BA responsibilities — the ideal candidate will be able to translate vulnerability findings into actionable technical requirements, identify impacted applications and processes, document remediation needs, and coordinate with engineering and security teams to ensure vulnerabilities are tracked through resolution.

Key Responsibilities
  • Translate AI‑generated or scanner‑based vulnerability findings into clear, actionable technical and business requirements.

  • Identify impacted applications, systems, and processes, and document remediation needs.

  • Collaborate with engineering, product, and security teams to prioritize and track remediation activities.

  • Maintain detailed documentation of vulnerabilities, remediation steps, and resolution timelines.

  • Support secure SDLC practices by ensuring vulnerabilities are integrated into backlog and sprint planning.

  • Facilitate communication between technical and non‑technical stakeholders to align on remediation priorities.

  • Provide risk analysis and reporting to leadership, highlighting severity, exploitability, and business impact.

  • Use tools such as Jira (or similar) to track findings, remediation progress, and closure.

  • Contribute to continuous improvement of vulnerability management and remediation tracking processes.

Required Skills
  • Strong background in software/application environments with security awareness.

  • Experience in requirement gathering, technical documentation, and data analysis.

  • Hands‑on experience with Jira or similar tools for issue tracking and remediation workflows.

  • Familiarity with Agile methodologies and sprint planning.

  • Knowledge of risk management, vulnerability assessment, and remediation tracking.

  • Excellent communication skills with the ability to bridge technical and business perspectives.

Ideal Profile
  • Considerably more technical than a standard BA — someone who understands both security vulnerabilities and how they map to technical remediation.

  • Background in software engineering, application security, or product security combined with business analysis skills.

  • Proven ability to work across multiple teams and ensure vulnerabilities are remediated effectively.