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Remote Data Analyst Jobs in O Fallon, IL (NOW HIRING)

Adecco

Digital Business Analyst

Saint Louis, MO · Remote

$60 - $70/hr

Louis, MO (Remote with some travel) . This is an excellent opportunity to join a winning culture ... Data/Function Integration, and Information architecture · Excellent Digital Research Methodologies ...

WSP

Geomatics Analyst

Saint Louis, MO · On-site +1

$56K - $75K/yr

... lidar, remote sensing, or related field. * 2-3 years' experience with Revit and/or PLS CADD ... Experience with CAD and geospatial data processing software. * Experience with the following ...

Steris Corporation

Director, Engineering (Remote)

MO · On-site +1

Remote based role with up to 75% travel What You'll do as a Director, Engineering * Set priorities ... belt, statistical data analysis, etc. to confirm root causes of problems, and implement ...

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in O'Fallon, IL

Remote Data Analyst information

See O Fallon, IL salary details

$31.7K

$77.1K

$126.9K

How much do remote data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote data analyst in O'Fallon, IL is $77,087.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $90,500.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.
More about Remote Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in O'Fallon, IL?

The most popular types of Data Analyst jobs in O'Fallon, IL are:

What cities near O'Fallon, IL are hiring for Remote Data Analyst jobs?

Cities near O'Fallon, IL with the most Remote Data Analyst job openings:

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in O'Fallon, IL as of August 2026, with employment types broken down into 81% Full Time, 3% Part Time, and 16% Contract. Highlights an 100% Remote job distribution, with an average salary of $77,087 per year, or $37.1 per hour.

Senior Data Engineer (Snowflake)

Oowlish Technology

Saint Louis, MO • On-site, Remote

$103K - $140K/yr

Full-time

Posted 15 days ago

Job description

Join Our Team

Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.

As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.

About the Role:
 

We are looking for an experienced Senior Data Engineer with strong expertise in Snowflake to help build and optimize modern cloud-based data solutions that support critical business operations.

In this role, you'll design, develop, and maintain scalable ETL/ELT pipelines, optimize data models, and ensure the delivery of accurate, high-quality data to downstream business systems. You'll work with modern cloud-native technologies while helping evolve the organization's data platform toward a Snowflake and dbt architecture.

The ideal candidate has strong experience building enterprise data pipelines, designing scalable data warehouses, and transforming complex business requirements into reliable data solutions.

Remote - United States (Midwest Preferred)

Occasional travel to Chicago may be required.

Key Responsibilities:
  • Design, develop, and maintain scalable ETL/ELT pipelines using modern data integration tools.
  • Build and optimize data models in Snowflake for analytics and operational reporting.
  • Develop data transformation processes supporting business intelligence and downstream applications.
  • Design and maintain enterprise data pipelines integrating CRM, ERP, billing, and other business systems.
  • Ensure data quality, integrity, consistency, and reliability across all data workflows.
  • Build and maintain outbound integrations with enterprise applications and reporting platforms.
  • Monitor, troubleshoot, and optimize pipeline execution and query performance.
  • Collaborate with business stakeholders to translate requirements into scalable data solutions.
  • Support the evolution of modern cloud-native data architecture using Snowflake and dbt.
  • Participate in code reviews and continuously improve engineering best practices.
Requirements:
  • 5+ years of professional Data Engineering experience.
  • 4+ years of hands-on Snowflake experience.
  • Strong SQL and data warehousing experience.
  • Experience designing and maintaining ETL/ELT pipelines.
  • Experience working with enterprise business data.
  • Experience integrating multiple enterprise applications.
  • Strong analytical and problem-solving skills.
  • Experience working in Agile environments.
  • Strong written and verbal English communication skills.
  • Must be based in the United States.
Must Have:
  • 5+ years of Data Engineering experience.
  • 4+ years of hands-on Snowflake experience.
  • Advanced SQL skills.
  • Experience building and maintaining ETL/ELT pipelines.
  • Experience with Matillion or similar ETL/ELT platforms.
  • Strong data modeling experience.
  • Experience designing enterprise data warehouses.
  • Experience optimizing Snowflake performance.
  • Experience integrating CRM, ERP, billing, and other enterprise systems.
  • Experience building scalable data pipelines.
  • Strong understanding of data quality, governance, and integrity.
  • Experience translating business requirements into scalable data solutions.
Nice to Have
  • Experience with dbt (Data Build Tool).
  • Experience migrating ETL workloads to Snowflake-native architectures.
  • Experience with SAP Callidus.
  • Experience with Xactly.
  • Experience with CaptivateIQ.
  • Experience working with Sales Compensation or Incentive Compensation Management (ICM) platforms.
  • Experience supporting Revenue Operations or Sales Operations teams.
  • Experience with Snowflake Cortex.
  • Experience implementing AI-driven data workflows.
  • Experience working with Finance or Commission-related datasets.
Come join us in breaking the mold and revolutionizing the tech landscape!

You can also apply here:

Website: https://www.oowlish.com/work-with-us/
LinkedIn: https://www.linkedin.com/company/oowlish/jobs/
Instagram: https://www.instagram.com/oowlishtechnology/
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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