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Remote Data Analyst Rotational Program Jobs in St Louis, MO

Enterprise Data Architect

Saint Louis, MO ยท On-site +1

$105K - $123K/yr

... program and business data stakeholders to ensure that the technical architecture and information ... Analyze and optimize data models for performance, scalability and cost effectiveness in the cloud.

Senior Data Steward

Saint Louis, MO ยท Remote

$24.42 - $30.53/hr

Data Entry/Management, Quality & Cleansing: Input, update, and maintain data in databases and ... Research and analytical skills Job Will Remain Open Until Filled #LI-TS1 #LI-Remote The Company is ...

Data Engineer - Multiple Positions

Chesterfield, MO ยท 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 ยท 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 ยท 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 ยท 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 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 Sep 1, 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 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 are popular job titles related to Remote Data Analyst Rotational Program jobs in St. Louis, MO?

For Remote Data Analyst Rotational Program jobs in St. Louis, MO, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst Rotational Program jobs in St. Louis, MO look for?

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

What cities near St. Louis, MO are hiring for Remote Data Analyst Rotational Program jobs?

Cities near St. Louis, MO with the most Remote Data Analyst Rotational Program job openings:

Enterprise Data Architect

Commerce Bank

Saint Louis, MO โ€ข On-site, Remote

$105K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

About Working at Commerce
Building a career here is more than just steps on a ladder. It's about helping people find financial safety and success, helping businesses thrive, and making sure people and their money are taken care of. And our commitment doesn't stop there. Our culture is about our people, the ones in our communities and the ones that work with us.
Here, you'll find opportunities to grow and learn, to connect with others, and build relationships with the people around you. You'll have the space and resources to grow into the best version of yourself. Because our number one investment is you.
Creating an award-winning culture doesn't come easy. And after 160 years, we know Commerce Bank is only at its best when our people are. If this sounds interesting to you, keep reading and let's talk.
Compensation Range
Annual Salary: $105,000.00 - $123,500.00 (Amount based on relevant experience, skills, and competencies.)
About This Job
The main purpose of this job is to collaborate with the Enterprise Architecture program and business data stakeholders to ensure that the technical architecture and information ecosystem would enable the organization to achieve business outcomes and generate meaningful value from its data assets. The Data Architect is responsible for discovering & documenting the data and analytics requirements for information for all uses and requires a deep understanding of data management, data modeling, data warehousing and emerging data integration technologies.
Work Schedule
  • Monday - Friday 8:00 AM - 5:00 PM

Essential Functions
  • Partner with business and technical leadership to provide strategic recommendations that maximize the value of data assets via their creation, access and use
  • Analyze and optimize data models for performance, scalability and cost effectiveness in the cloud. Collaborate with IT Architecture, Information Security, and Data Governance stakeholders to define standards and policies for data lifecycle management, data keying strategy, and data obfuscation strategy
  • Monitor and assess the benefits and risks of change impacting the data ecosystem (i.e. new system implementations, deployment of new tools and utilities, etc.) Actively work to mitigate the negative impact of change affecting the use of data architecture.
  • Provide the organization with a future-state view of the business data landscape that minimizes restrictions imposed by proprietary solutions or technologies. Collaborate in the process of architectural planning and influence decisions on data architectural design.
  • Assist data, analytic, business and IT leaders in developing data governance processes and structures.
  • Facilitate design sessions with business and technology stakeholders to understand business needs and requirements. Develop and manage data blueprints and information models (i.e. conceptual models, logical models, physical models, relational database designs, dimensional modeling, data vault, message models and others)
  • Proactively manage the classification and zoning of data assets sourced from systems, applications, and external third-party information providers to increase time to value
  • Aid efforts to improve business performance through enterprise information solutions and capabilities, such as master data management (MDM), metadata management, analytics, content management, data integration, and related information management or information infrastructure components
  • Analyze data and analytics security requirements and solutions, and partner with leadership to ensure that enterprise business data and analytics assets are protected.
  • Perform other duties as assigned

Knowledge, Skills & Abilities Required
  • Strong understanding of system integration, including interface design, and familiarity with web-oriented architecture techniques.
  • Strong understanding of data modeling and information classification expertise at the enterprise level and industry-specific knowledge of data security protocols, policies, and regulations
  • Strong understanding of common information architecture frameworks and information models
  • Strong understanding of metamodels, taxonomies and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sources
  • Strong understanding of data science concepts, as well as MDM, business intelligence, and data warehouse design and implementation techniques
  • Strong understanding of a variety of data access and analytics approaches (for example, microservices and event-based architectures)
  • Strong understanding with enterprise architecture modeling languages or frameworks such as TOGAF, ArchiMate, Zachman or UML
  • Ability to develop positive relationships across business and technical domains to facilitate activity that produces mutually beneficial outcomes
  • Ability to assess rapidly changing technological trends and developments and apply them to business needs
  • Ability to understand problems from a broad perspective leveraging business and technical knowledge to anticipate the impact of issues and potential solutions
  • Strong business and technological acumen. Possesses the ability to communicate with executives, business domain stakeholders and technical partners alike.
  • Motivated and organized self-starter with strong attention to detail and the ability to manage multiple priorities
  • Inquisitive, agile, and strong team player with excellent written, verbal, and interpersonal communication skills
  • Ability to remain adaptable and resilient to all situations with an optimistic outlook and cast a positive shadow that is aligned with our culture and Core Values
  • Strong proficiency with Microsoft Office suite, Microsoft Project and Teams

Education & Experience
  • Bachelor's degree in Information Technology, Computer Information Systems, Data Management, Data Science or equivalent combination of education and experience required. Master's degree preferred.
  • 6+ years of experience in IT or a related field, with at least 5 years in information system design required
  • 4+ years of experience in data management, data modeling, data warehousing and emerging data integration technologies required
  • 2+ years of experience with distributed management and analytics in cloud and hybrid environments with hands-on experience building and designing Databricks Lakehouse Architecture and Delta Lake using tools such as Erwin or SqlDBM required
  • Experience in data analysis using PySpark, SQL, Python is preferred.
  • Professional training/industry certifications in PaaS cloud providers or specifically in Databricks preferred

*Remote options available
***For individuals applying, assigned and/or hired to work in areas with pay transparency requirements, Commerce is required by law to include a reasonable estimate of the compensation range for some roles. This compensation range is for the Enterprise Data Architect job and contemplates a wide range of factors that are considered in making compensation decisions, including but not limited to location, skill sets, education, relevant experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for any applicable differentials (geographic, bilingual, or shift) that could be associated with the position or where it is filled. At Commerce, compensation decisions are dependent on the facts and circumstances of each situation. A reasonable estimate of the current base pay is $105,000 to $123,500 annually. This position will be eligible for additional compensation through performance-based incentive plan(s) that will correspond to meeting performance goals.
#LI-CR1
#LI-Remote
The candidate selected for this position may be eligible for the following employment benefits: employer sponsored health, dental, and vision insurance, 401(k), life insurance, paid vacation, and paid personal time. In addition, we offer career development, education assistance, and voluntary supplemental benefits. Click here to learn more.
Location: 8000 Forsyth Blvd, Clayton, Missouri 63105
Time Type:
Full time