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Remote Data & Analytics Jobs in St Louis, MO (NOW HIRING)

Data Analytics Engineer

Saint Louis, MO · On-site +1

$111K - $133K/yr

The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to build trusted Data Ingestion Pipelines to seamlessly move and transform data from SaaS and in house ...

Bachelor's degree in Finance, Information Systems, Data Analytics, or a related field. * 3-5 years of experience in financial analysis or business intelligence. * Strong expertise in Power BI ...

Data Analyst Senior

Saint Louis, MO · On-site +1

$107K - $155K/yr

Together with the Data Analytics team, support the building and implementing of solutions for external clients and internal projects. Assess the effectiveness and accuracy of new data sources and ...

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable ... analytical solutions This position offers the opportunity to work fully remote within the United ...

... analytical solutions This position offers the opportunity to work fully remote within the United ... As a Data Scientist focused on revenue management, you will design and deploy advanced deep ...

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable ... analytical solutions This position offers the opportunity to work fully remote within the United ...

Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep learning for statistical modeling. Experience with big data technologies and cloud-based data platforms ...

Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep learning for statistical modeling. Experience with big data technologies and cloud-based data platforms ...

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Remote Data Analytics information

See St Louis, MO salary details

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$53

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How much do remote data & analytics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote data & analytics in St. Louis, MO is $53.23, according to ZipRecruiter salary data. Most workers in this role earn between $42.79 and $60.29 per hour, depending on experience, location, and employer.

What is a Remote Data & Analytics job?

A Remote Data & Analytics job involves collecting, analyzing, and interpreting data to help businesses make informed decisions, all while working from a remote location. Professionals in this field use tools like SQL, Python, Tableau, and Excel to process and visualize data trends. They collaborate with teams across different time zones to provide insights that drive business strategies. This role includes positions such as data analysts, data scientists, and business intelligence specialists, often requiring strong analytical and problem-solving skills.

What are some typical challenges faced when working remotely in a Data & Analytics position?

One common challenge is maintaining effective communication and collaboration with team members and stakeholders across different time zones, which requires proactive coordination and regular updates. Remote Data & Analytics professionals often need to independently manage their projects, troubleshoot technical issues, and ensure data security while working from home. Despite these challenges, many organizations support their remote teams with collaborative software, robust data platforms, and virtual meetings. Building strong documentation habits and establishing clear expectations with your team can help you succeed in a remote data analytics environment.

What are the key skills and qualifications needed to thrive in the Remote Data & Analytics position, and why are they important?

To excel in a Remote Data & Analytics role, you need solid analytical skills, experience with data visualization, and a background in statistics or a related field, often demonstrated by a relevant degree. Familiarity with tools and platforms such as SQL, Python, R, Tableau, or Power BI, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst, is highly beneficial. Effective communication, attention to detail, and strong time-management skills are crucial for collaborating and delivering insights across distributed teams. These competencies ensure accurate analysis, clear presentation of findings, and productive teamwork in a remote and data-driven work environment.

What are the most commonly searched types of Data & Analytics jobs in St. Louis, MO?

The most popular types of Data & Analytics jobs in St. Louis, MO are:

What job categories do people searching Remote Data & Analytics jobs in St. Louis, MO look for?

The top searched job categories for Remote Data & Analytics jobs in St. Louis, MO are:

What cities near St. Louis, MO are hiring for Remote Data & Analytics jobs?

Cities near St. Louis, MO with the most Remote Data & Analytics job openings:

Infographic showing various Remote Data & Analytics job openings in St. Louis, MO as of June 2026, with employment types broken down into 75% Full Time, 21% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $110,711 per year, or $53.2 per hour.

Data Analytics Architect

The Timberline Group

Saint Louis, MO • On-site, Remote

Full-time

Re-posted 18 days ago


Job description

*** Must be a US Citizen or Green Card only Applicant ****
The Data Analytics Architect will be responsible for leading the Data Engineering team whose primary mission is to build trusted Data Ingestion Pipelines to seamlessly move and transform data from SaaS and in house transactional databases to a Data Warehouse to enable actionable business insights.The data in the Warehouse will serve as a foundation for Reporting, Machine Learning Analysis and Generative AI.The ideal candidate will be a strong technical leader with effective communication and leadership skills to manage a data engineering team. If you are an ambitious technology leader who is looking to grow, and who is passionate about building world-class products and technology, we encourage you to apply for this exciting opportunity.
What You'll Do
    • Define best practices for development, automated testing, monitoring of data ingestion pipelines.
    • Define standards for Data Mapping, Data Transformation to Analytics friendly structures and Data Validation.
    • Governance of standards and best practices within the Data Engineering Team.
    • Provide task breakdowns for Data Engineers.
    • Accountable for Delivery and 100% uptime of the Environments.
    • Collaborate with cross-functional teams, including ecosystem leadership and data insights teams, engineering, sales, and marketing to ensure all stakeholders are aligned.
    • Hands-on role where individual must be a Player/Coach leading the Data Engineering team.
    • Partner with scrum master daily to build out stories and sprint planning.
    • Partner with leader on Data Insights team daily to stay aligned on priorities.
    • Stay up to date with the latest industry trends and emerging technologies to identify opportunities for innovation and growth.
    • Establish and maintain effective communication channels with internal and external stakeholders.
What You'll Need to Succeed
    • BS in Engineering, Business Administration, Statistics, Business Analytics, or applicable experience in related field
    • Minimum of (5) five years ofSDLC experiencein ETL/ELT environments with tools/technologies such as Fivetran, dbt, SQL, AWS Redshift, Boomi, PowerBI , Git.
    • Minimum of (3) years of experience in building out schemas for Analytical purposes
    • Minimum (1) years of experience in a Team Lead role managing a Data Engineering team.
    • Minimum (1) years of hands-on experience AWS Cloud and Services such as AWS Glue, AWS Lambda, Python
    • Familiar with ERP, CRM products such as Salesforce, NetSuite, Hubspot and Eloqua.
    • Strong development background and expert level skills with modern SDLC best practices.
    • Proven track record of delivering successful data initiatives.
    • Excellent communication and interpersonal skills, with the ability to build strong relationships with internal and external stakeholders.
    • Strong analytical and problem-solving skills, with the ability to make data-driven decisions.
    • Experience working in a fast-paced, agile environment.
    • Ability to prioritize and manage multiple projects simultaneously.
    • Excellent leadership and management skills, with the ability to inspire and motivate a team to achieve their goals

The Timberline Group
Phone: 636-209-5537
PO Box 565, Sullivan, Mo 63080
www.timberlinegrp.com
resumes@timberlinegrp.com
"Delivering quality solutions through quality people"