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Remote Data Analysis Jobs in Missouri (NOW HIRING)

Jobgether

$66K - $83K/yr

Monitor and analyse changes in supply performance, proactively identifying trends, risks, and ... Flexible remote working options within compatible time zones. * Opportunity to work in a fast ...

New

The Timberline Group

Data Analyst

Saint Louis, MO · On-site +1

Familiarity with financial processes, including P&L analysis, budgeting, and forecasting ... Knowledge of Python/R for data manipulation (optional but beneficial). * Experience with Power ...

EquipmentShare

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

... analysis. You will play a crucial role in extracting actionable insights from our data to drive ... This position is fully remote. Primary Responsibilities * Apply operations research methodologies ...

Missouri Employers Mutual

$66K - $99K/yr

Data Analysis & Model Execution * Extract, clean, and validate data from multiple sources to support actuarial analysis. * Perform foundational statistical analyses and summarize results for ...

Jobgether

As a Data Scientist focused on Product and Analytics, you will transform complex data into ... Fully remote work environment with flexibility and opportunities to collaborate with international ...

New

BJC HealthCare

Business Analyst - 340b

Saint Louis, MO · Remote

Eligible Remote States: * Alabama Iowa North Carolina Wisconsin * Arkansas Kansas Ohio * Florida ... Responsibilities include data analysis, reporting, issue tracking/management, status reporting ...

UMB Financial

Data Product Manager

Kansas City, MO · On-site +1

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Analyze product performance data to identify areas for improvement and make recommendations for ...

Jobgether

The position combines software engineering, computational biology, and data analysis to solve ... You will collaborate with interdisciplinary teams in a remote environment focused on scientific ...

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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.

Senior Data Analyst - Supply Analytics

Jobgether

On-site, Remote

$66K - $83K/yr

Full-time

Posted yesterday

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analyst - Supply Analytics based in Netherlands.

This is a high-impact analytics role focused on transforming complex marketplace data into insights, tools, and strategies that drive commercial decisions.
You will become the analytical backbone of the supply function, helping teams understand partner performance and identify growth opportunities.
The role combines advanced analytics, business thinking, stakeholder collaboration, and the development of scalable self-service solutions.
You will work closely with supply, product, and engineering teams to improve decision-making across a global travel marketplace.
Your work will directly influence supplier relationships, commercial negotiations, marketplace performance, and long-term business strategy.
This position offers significant ownership, the opportunity to build innovative data solutions, and the chance to shape how analytics is used across the organisation.

Accountabilities:
  • Own and define supply performance metrics, including bookings, revenue performance, commission rates, availability, pricing competitiveness, and supplier reliability.
  • Monitor and analyse changes in supply performance, proactively identifying trends, risks, and opportunities before they impact business outcomes.
  • Build self-service dashboards, reports, and analytical tools that enable commercial teams to independently answer key business questions.
  • Develop LLM-powered analytics tools and workflows by creating reliable metric definitions, validated queries, and domain-specific knowledge systems that improve stakeholder access to data.
  • Standardise how supplier performance is measured, communicated, and used in internal decision-making and external partner discussions.
  • Create business cases and commercial models to support negotiations, partnership strategies, integration prioritisation, and investment decisions.
  • Design and evaluate experiments, including A/B tests, to measure the impact of supply-side changes and provide actionable recommendations.
  • Partner with supply managers, product teams, engineers, and analytics colleagues to translate business challenges into data-driven solutions.
  • Share knowledge, improve analytical practices, and contribute to raising the overall analytics maturity of the organisation.
  • Independently lead complex analytical projects from problem definition through implementation and communication of results.
Requirements:
  • 4+ years of hands-on experience using data analytics to influence commercial, product, or business decisions.
  • Strong ownership mindset with experience managing metrics, reporting frameworks, or analytical domains end-to-end.
  • Advanced SQL skills and experience building data models, dashboards, and analytical solutions using tools such as Looker, Tableau, or similar platforms.
  • Experience creating self-service tools and reports designed for non-technical stakeholders, with a strong focus on usability and business impact.
  • Ability to build business cases, evaluate opportunities, model scenarios, and communicate clear recommendations.
  • Working knowledge of experimentation methodologies, A/B testing, and basic statistical analysis.
  • Strong communication and stakeholder management skills, with experience collaborating across business and technical teams.
  • Ability to independently manage ambiguous, high-impact projects and deliver actionable insights.
  • Experience building LLM-based analytics tools, such as AI agents, assistants, text-to-SQL workflows, or prompt-based data solutions, or a strong motivation to develop these capabilities.
  • Experience with Python for analysis and automation is a plus.
  • Previous experience in travel, online marketplaces, supply analytics, commercial analytics, or partner management environments is highly desirable.
  • Familiarity with LLM APIs, agent frameworks, or AI workflow tools is considered an advantage.
Benefits:
  • Competitive compensation package with additional stock appreciation opportunities.
  • Flexible remote working options within compatible time zones.
  • Opportunity to work in a fast-growing global technology environment.
  • Significant ownership and autonomy in shaping analytics processes and business decisions.
  • Access to learning and professional growth opportunities within an open and collaborative culture.
  • International team environment with opportunities to work from modern office facilities.
  • Flexible time off policy supporting work-life balance.
  • Home office budget to support an effective remote setup.
  • Catered lunches, quality coffee, team gatherings, and company events.
  • Access to mental health support resources.
  • Opportunity to contribute to a product used by millions of travellers worldwide.
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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