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Remote Data Analysis Jobs in Missouri (NOW HIRING)

Jobgether

Working at the intersection of data analysis, content management, and e-commerce strategy, you will ... Access to tools and systems that support efficient remote and digital workflows. How Jobgether ...

Jobgether

Rather than focusing solely on reporting or analytics, you will own growth challenges from ... Benefits * Full-time remote position with flexibility to work within European time zones.

New

Jobgether

$88K - $106K/yr

... analytics, collaborating with engineering and business teams in a fast-moving technology ... Fully remote working opportunity across eligible locations. * Flexible working environment designed ...

nimble

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a ... Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want ... Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of ...

Jobgether

... autonomous, remote-first environment. Your work will be published under your name, helping ... Leverage modern AI tools to accelerate data analysis, synthesis, experimentation, and research ...

Strategic Staffing Solutions

AWS Data Architect

Saint Louis, MO · Remote

$62 - $79.75/hr

This role will also support enterprise reporting, analytics, and data science initiatives while ... Manage infrastructure state files using secure remote backends. Design and maintain Jenkins CI/CD ...

New

Jobgether

Strong analytical abilities with experience interpreting research data and translating findings ... Fully remote working environment with long-established distributed collaboration practices.

Koantek

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 ...

Jobgether

$81K - $111K/yr

As a Senior Data Engineer, you will own the complete data lifecycle, from ingestion and infrastructure to modeling, analytics, and business insights. Working in a fully remote, high-growth ...

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All JobsData Analysis JobsRemote Data Analysis JobsRemote Data Analysis Jobs in Missouri

Remote Data Analysis information

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

Can you work fully remote as a data analyst?

Yes, many data analyst roles are fully remote, allowing professionals to analyze data, create reports, and use tools like Excel, SQL, and Python from anywhere. Employers often require strong communication skills and proficiency with collaboration platforms such as Slack or Teams for remote work.

Are remote data analyst jobs legit?

Remote data analyst jobs are legitimate positions that involve analyzing data to support business decisions, often requiring skills in tools like Excel, SQL, or Python. However, job seekers should verify the employer's credibility and be cautious of scams by researching the company and avoiding upfront payments.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that are not easily replaced by AI. Therefore, while AI may augment the work of data analysts, it is unlikely to fully replace them in the near future.

Can you get a remote job as a data analyst?

Yes, remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and tools like Excel, SQL, or Python. Many companies offer remote work options, and candidates typically need a relevant degree or certification and strong communication skills.
What are the most commonly searched types of Data Analysis jobs in Missouri? The most popular types of Data Analysis jobs in Missouri are:
What are popular job titles related to Remote Data Analysis jobs in Missouri? For Remote Data Analysis jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Data Analysis jobs in Missouri look for? The top searched job categories for Remote Data Analysis jobs in Missouri are:
What cities in Missouri are hiring for Remote Data Analysis jobs? Cities in Missouri with the most Remote Data Analysis job openings:
Remote Data Analysis jobs near you
Infographic showing various Remote Data Analysis job openings in Missouri as of July 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Ecommerce Product Catalog & Research Analyst

Jobgether

On-site, Remote

Full-time

Posted 8 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Ecommerce Product Catalog & Research Analyst based in Netherlands.

This role offers the opportunity to take ownership of product data quality and digital merchandising operations within a growing e-commerce environment. You will play a key role in ensuring that product information is accurate, consistent, and optimized across multiple online platforms. Working at the intersection of data analysis, content management, and e-commerce strategy, you will help improve customer experiences and drive better product visibility. The position requires strong attention to detail, analytical thinking, and a passion for improving digital storefront performance. You will collaborate with marketing, content, and operations teams to maintain high-quality catalogs and identify opportunities for optimization. This is an ideal opportunity for an experienced e-commerce professional who enjoys working with data, processes, and continuous improvement initiatives.

Accountabilities
  • Manage and maintain product catalog accuracy across multiple e-commerce platforms and internal content management systems.
  • Review, update, and optimize product titles, descriptions, images, metadata, and categorization according to SEO standards and platform-specific requirements.
  • Conduct regular product listing audits to identify inaccuracies, inconsistencies, missing information, or merchandising issues.
  • Research and resolve catalog errors, mismatches, and data quality issues to ensure a consistent customer experience.
  • Support the development and maintenance of product taxonomies, attributes, and SKU structures for new and existing products.
  • Collaborate with marketing, content, design, and operational teams to ensure products are represented effectively across digital channels.
  • Monitor e-commerce platform updates, competitor activity, and category trends to identify improvement opportunities.
  • Analyze catalog performance data and provide insights to support merchandising decisions and optimization strategies.
  • Contribute to improving catalog processes, workflows, and automation initiatives.
Requirements
  • Bachelor's degree in Business, Marketing, E-commerce, Data Analysis, or a related field.
  • 5-7 years of experience in product catalog management, e-commerce operations, digital merchandising, or a similar analytical/content-focused role.
  • Hands-on experience working with e-commerce platforms such as Amazon Seller Central, Flipkart Seller Hub, Shopify, Magento, or similar solutions.
  • Familiarity with content management systems and digital product data workflows.
  • Strong attention to detail and ability to manage large volumes of product information with accuracy and consistency.
  • Good understanding of SEO principles, product taxonomy, metadata optimization, and online merchandising best practices.
  • Proficiency in Excel or Google Sheets, with the ability to analyze and interpret product data.
  • Strong organizational and problem-solving skills with the ability to prioritize multiple tasks.
  • Excellent written and verbal communication skills.
  • Experience with PIM systems, catalog automation tools, or product information workflows is considered an advantage.
  • Familiarity with analytics tools such as Google Analytics or Data Studio for monitoring product performance is a plus.
Benefits
  • Competitive compensation package based on experience and qualifications.
  • Opportunity to work in a dynamic e-commerce environment with exposure to global digital platforms.
  • Flexible working arrangements and a modern, collaborative work environment.
  • Opportunities to contribute to impactful catalog optimization and digital merchandising initiatives.
  • Professional growth opportunities through hands-on experience with e-commerce technologies and processes.
  • Collaboration with cross-functional teams across marketing, content, and operations.
  • Access to tools and systems that support efficient remote and digital workflows.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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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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