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Remote Data & Analytics Jobs in Missouri (NOW HIRING)

$49.25 - $63.25/hr

You will act as a trusted expert, bridging business needs with robust data architecture, analytics ... Benefits: * Competitive compensation package. * Flexible remote working arrangement.

Job Title Enterprise Data Architect - Remote Requisition Number R7730 Enterprise Data Architect ... Ensure platforms support high-performance analytics and AI workloads. * Implement lightweight but ...

Analyze data sets and develop models to predict fraud, waste, and abuse. * Document and present ... Remote work eligible REMOTE WORK REQUIREMENTS: * Must have high speed Internet (satellite is not ...

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Remote Data Analytics information

See Missouri salary details

$22

$51

$88

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

As of Jun 16, 2026, the average hourly pay for remote data & analytics in Missouri is $51.35, according to ZipRecruiter salary data. Most workers in this role earn between $41.25 and $58.17 per hour, depending on experience, location, and employer.

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 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 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 Missouri? The most popular types of Data & Analytics jobs in Missouri are:
What cities in Missouri are hiring for Remote Data & Analytics jobs? Cities in Missouri with the most Remote Data & Analytics job openings:
Infographic showing various Remote Data & Analytics job openings in Missouri as of June 2026, with employment types broken down into 2% As Needed, 47% Full Time, 48% Part Time, 2% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $106,814 per year, or $51.4 per hour.

Data SME (Subject Matter Expert)

Jobgether

Remote

$49.25 - $63.25/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data SME (Subject Matter Expert) in Netherlands.

This role is a key technical and strategic position focused on shaping enterprise data solutions across large-scale, distributed environments. You will act as a trusted expert, bridging business needs with robust data architecture, analytics, and governance practices. Working remotely with global stakeholders, you will influence how data is structured, accessed, and leveraged for decision-making across the organization. The position involves both hands-on problem solving and high-level advisory responsibilities, ensuring data quality, consistency, and performance across platforms. You will contribute directly to the evolution of modern data ecosystems while supporting migration, integration, and optimization initiatives. This is an excellent opportunity for a seasoned data professional who enjoys combining technical depth with cross-functional collaboration and strategic impact.

Accountabilities:
  • Act as a Subject Matter Expert for enterprise data platforms, architectures, and reporting ecosystems.
  • Translate business requirements into scalable and efficient data models and solutions.
  • Design, develop, and optimize data models, ETL/ELT pipelines, and analytics frameworks.
  • Ensure data governance, quality, accuracy, consistency, and compliance standards are upheld.
  • Collaborate with engineering, analytics, and business teams to improve data accessibility and usability.
  • Support data integration, migration, transformation, and cleansing initiatives across systems.
  • Create and maintain technical documentation, process flows, and best practice guidelines.
  • Troubleshoot complex data issues and identify performance bottlenecks in data pipelines.
  • Provide strategic insights and recommendations to improve data architecture and operations.
  • Mentor team members and contribute to knowledge sharing and capability building.

Requirements:

  • 5+ years of experience in Data Management, Data Engineering, or Data Analytics roles.
  • Strong expertise in SQL, data analysis, and reporting within large-scale environments.
  • Experience with ETL/ELT processes, data integration, and modern data pipeline design.
  • Solid understanding of data warehousing concepts and cloud-based data architectures.
  • Hands-on experience with platforms such as AWS, Azure, GCP, Snowflake, or Databricks.
  • Strong knowledge of data governance frameworks and data quality management practices.
  • Experience with BI tools such as Power BI, Tableau, or Looker is highly desirable.
  • Proficiency in Python or other scripting languages for data processing is a plus.
  • Excellent analytical thinking and problem-solving skills.
  • Strong communication and stakeholder management abilities in remote, global environments.
  • Ability to work independently and manage priorities effectively in a distributed team setup.

Benefits:

  • Competitive compensation package.
  • Flexible remote working arrangement.
  • Opportunities for professional development and career growth.
  • Exposure to modern cloud data platforms and large-scale data ecosystems.
  • Collaborative and supportive international working environment.
  • Inclusive workplace with equal opportunity principles.
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. 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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