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Virtual Data Analyst Jobs in Missouri (NOW HIRING)

Virtual Job Duration: 6 Months Contract Overview: We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role ...

Data Analyst Senior

Saint Louis, MO · On-site +1

$107K - $155K/yr

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard ... Interaction with others will primarily be virtual with leadership and colleagues from other offices.

(USA) Data Scientist III

Noel, MO · On-site

$90K - $180K/yr

Analyze high-dimensional, fast-moving real-time datasets to identify trends, anomalies, and ... of virtual presence. We use our campuses to collaborate and be together in person, as business ...

(USA) Data Scientist III

Cassville, MO · On-site

$90K - $180K/yr

Analyze high-dimensional, fast-moving real-time datasets to identify trends, anomalies, and ... of virtual presence. We use our campuses to collaborate and be together in person, as business ...

(USA) Data Scientist III

Anderson, MO · On-site

$90K - $180K/yr

Analyze high-dimensional, fast-moving real-time datasets to identify trends, anomalies, and ... of virtual presence. We use our campuses to collaborate and be together in person, as business ...

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Showing results 1-20

Virtual Data Analyst information

See Missouri salary details

$31.9K

$77.5K

$127.6K

How much do virtual data analyst jobs pay per year?

As of Aug 5, 2026, the average yearly pay for virtual data analyst in Missouri is $77,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $91,000.00 per year, depending on experience, location, and employer.

What does a virtual data analyst do?

A typical workday for a Virtual Data Analyst involves collecting, cleaning, and analyzing large data sets, generating reports or visualizations, and presenting findings to stakeholders, all while collaborating remotely with team members and managers via digital tools. You might spend your mornings running data queries or troubleshooting datasets, while afternoons are often dedicated to meetings—either updating project teams or discussing insights with clients and decision-makers. Many virtual data analysts use task management software to track ongoing projects and prioritize deliverables in a remote setting. Expect to regularly engage in both independent work and virtual collaboration, making strong communication and self-management skills especially valuable. This role offers flexibility in your daily schedule, but typically involves deadlines and periodic teamwork to ensure business goals are met.

What is a virtual data analyst?

A Virtual Data Analyst is a professional who analyzes data remotely to help businesses make informed decisions. They collect, clean, and interpret datasets using tools like Excel, SQL, Python, or BI software. Their role includes identifying trends, creating reports, and providing actionable insights. This position is ideal for those comfortable working independently and collaborating online with teams.

What skills and qualifications are needed to thrive as a virtual data analyst?

To thrive as a Virtual Data Analyst, you need a solid grounding in data analysis, statistical methods, and critical thinking, typically backed by a degree in a quantitative field such as mathematics, statistics, computer science, or economics. Familiarity with analytical tools like Excel, SQL, Python, or R, along with experience using data visualization platforms such as Tableau or Power BI, is highly valuable, and certifications in analytics or data science can enhance your qualifications. Excellent communication, time management, and problem-solving skills help you interpret findings for stakeholders and work effectively in a remote, collaborative environment. These abilities are essential for accurately analyzing data, conveying actionable insights, and delivering reliable results while working virtually.

What are the most commonly searched types of Data Analyst jobs in Missouri? The most popular types of Data Analyst jobs in Missouri are:
What job categories do people searching Virtual Data Analyst jobs in Missouri look for? The top searched job categories for Virtual Data Analyst jobs in Missouri are:
Infographic showing various Virtual Data Analyst job openings in Missouri as of July 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $77,517 per year, or $37.3 per hour.

Data Analyst

Stellar IT Group

Saint Louis, MO • On-site

Contractor

Re-posted 10 days ago


Job description

Overview:
Job Title: Data Analyst
Job Location: Remote
Interview: Virtual
Job Duration: 6 Months Contract
Overview:
We are seeking a Data Analyst with strong SQL and Python expertise to support data validation, data quality, and exploratory data analysis. This role focuses on ensuring data is accurate, reliable, and structured for downstream analytics and reporting.
Note: This is not a Data Engineer role. Candidates must have a strong analytics and data validation background.
Key Responsibilities
  • Perform data validation and quality checks using SQL and Python
  • Conduct exploratory data analysis (EDA) to identify trends, anomalies, and insights
  • Analyze data structures, relationships, and lineage to ensure data integrity
  • Ensure data is usable, consistent, and reliable for analytics, BI, and business teams
  • Support data manipulation, reporting, and downstream data consumption
  • Collaborate with stakeholders to understand data requirements and usage

Required Qualifications
  • Bachelor's degree (Master's or PhD preferred)
  • 5+ years of relevant Data Analyst experience
  • Strong hands-on experience with SQL and Python (data validation, not just querying)
  • Deep understanding of data structures and data lifecycle, including:
    • Data shape, relationships, and storage
    • Data quality, consistency, and lineage
    • Ensuring data reliability for analytics and reporting
  • Experience with exploratory data analysis (EDA)
  • Experience with data manipulation and reporting

Preferred Qualifications
  • Experience with BI tools (Power BI preferred)
  • Healthcare domain experience (payer/provider, clinical, insurance, or operational data)
  • Experience with Databricks and/or PySpark

Skills:
Data Analyst,pYTHON