ZipRecruiter

Log In

2

Remote Data Analyst Jobs in Missouri (NOW HIRING)

The Timberline Group

Data Analyst

Saint Louis, MO · On-site +1

We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative team of talented professionals. You are not afraid to make impact where your opinion matters in a ...

Resource Innovations

Data Analyst

Saint Louis, MO · On-site +1

$54K - $80K/yr

Resource Innovations is seeking a Data Analyst to become a vital part of our team in St. Louis, MO or remotely. We're looking for a talented and driven individual with a robust background in data ...

New

EquipmentShare

Senior Data Analyst

Columbia, MO · Remote

$81K - $103K/yr

This position is fully remote. Primary Responsibilities * Apply operations research methodologies ... At least 6 years of experience in a data analytics role, with a focus on operations research and ...

Jobgether

$66K - $83K/yr

Our partner is looking for a Senior Data Analyst - Supply Analytics based in Netherlands. This is a ... Flexible remote working options within compatible time zones. * Opportunity to work in a fast ...

New

Cliftonlarsonallen

Data Analyst Senior

Saint Louis, MO · On-site +1

$83K - $105K/yr

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard, or they work out details regarding data access to support a project. Our Data Analysts favorite ...

next page

Showing results 1-20

All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Missouri

Remote Data Analyst information

See Missouri salary details

$31.9K

$77.5K

$127.6K

How much do remote data analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote 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.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

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, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

More about Remote Data Analyst jobs
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 are popular job titles related to Remote Data Analyst jobs in Missouri? For Remote Data Analyst jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst jobs in Missouri look for? The top searched job categories for Remote Data Analyst jobs in Missouri are:
What cities in Missouri are hiring for Remote Data Analyst jobs? Cities in Missouri with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Missouri as of July 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 100% Remote job distribution, with an average salary of $77,517 per year, or $37.3 per hour.
Remote Data Analyst/ Dashboard Developer

Remote Data Analyst/ Dashboard Developer

TriOptus LLC

Saint Louis, MO • On-site, Remote

Other

Re-posted 14 days ago

Job description

Job Code - Data Analyst / Dashboard Developer
Duration - 3 year contract
Description: The Continuous Improvement team is seeking an energetic and experienced individual for a position in data analytics. This role is responsible for analyzing data, identifying, and resolving data discrepancies, across multiple business applications specializing in transforming reporting and analytics across key areas of the business. This role will be involved in improving, and arming our leaders with the right reports, tools, and insights to drive the business. It entails applying rigor to the existing reporting and analytics landscape and understanding how to realize benefits across visualization, automation, and consumption of information that ultimately promote a stronger and healthier data culture.
Overview: Our team is responsible for the continuous improvement of the lean agile operating model and delivery teams to optimize Strategic Platform Team's effectiveness of executing on agile principles with a focus on Testing, DevOps and Release Management. The team develops and tracks process performance measures, identifies and implements process requirements, drives process improvements and adoption of Best Practices.
Responsibilities
  • Develop, design, and maintain PowerBI dashboards and analytics
  • Collect, refine, and prepare data for analytics and visualization
  • Manage and utilize the PowerBI platform to extract meaningful insights from it
  • Prepare reports using various visualization and data modeling methods
  • Connecting data sources, importing data, and transforming data for Business intelligence.
  • Determines and documents data mapping rules for movement of medium to high complexity data between applications.
  • Investigates and resolves data issues across platforms and applications, including discrepancies of definition, format and function.
  • Discuss the requirements effectively with the client teams, and with internal teams.

Top Skills
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or another quantitively-oriented degree
  • Minimum of Three (2) years of experience leveraging Tableau or PowerBI.
  • Minimum of Three (2) years of experience leveraging advanced SQL in a previous role.
  • Minimum of One (1) year of experience leveraging automation and ETL jobs to assist in data transformation and clean-up.
  • Minimum of One (1) year of experience using ML (machine learning), statistical predictive modeling, multivariate/regression, clustering, time series/survival analysis.
  • Preferred: Mastery of SQL and Python (NumPy, Pandas)
  • Experience working with extremely large datasets in a fast-paced, entrepreneurial and fluid environment.
  • Experience in client engagements, interpreting client's business challenges, and recommendations for business stakeholders.
  • Experience developing visualization such as reports, charts, tables, and other visual aids in support of findings.
  • Strong analytical and problem-solving skills with a demonstrable passion to dig into terabytes of data and quickly construct tools.
  • Proven excellence at formulating, understanding, and solving complex, non-routine problems.
  • Outstanding organization and presentation skills.
  • Strong written and verbal communication skills.

Apply