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Data Analyst Data Science Jobs in Missouri (NOW HIRING)

Degree in a field of Statistics, Computer Science, Economics, Analytics, or Data Science (e.g., Informatics, Data Science, Health Data Science) preferred. #LI-RC1 Wellness at CLA To support our CLA ...

New

Data Science Analyst

Saint Louis, MO · On-site

$133K - $180K/yr

Yes We are seeking a Data Science Analyst/Engineer to join our Program working with the Data Engineering Team responsible for integrating new Data Stores and building the Metadata Application Profile ...

Data Science Analyst

Saint Louis, MO · On-site

$132K - $159K/yr

Overview Data Science Analyst Springfield, VA or St. Louis, MO Active TS (SCI eligibility) clearance and eligibility to obtain a CI poly At Bcore, our strength comes from how we deliver impact to the ...

Data Analyst As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions using the latest agronomic science, data science, engineering, and real-world farming experience.

Data Analyst

Creve Coeur, MO · On-site

$71 - $135/hr

Data Analyst As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions using the latest agronomic science, data science, engineering, and real-world farming experience.

Data Analyst

Creve Coeur, MO · On-site

$71K - $135K/yr

Data Analyst As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions using the latest agronomic science, data science, engineering, and real-world farming experience.

The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...

The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...

The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...

The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...

The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...

The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...

The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...

The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...

The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...

The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...

The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...

The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...

The ideal candidate will be responsible for analyzing complex structured and unstructured data, developing actionable insights, building data science solutions, and partnering with data and business ...

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Data Analyst Data Science information

See Missouri salary details

$13

$34

$60

How much do data analyst data science jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data analyst data science in Missouri is $34.97, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $42.40 per hour, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are popular job titles related to Data Analyst Data Science jobs in Missouri?

For Data Analyst Data Science jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Science jobs in Missouri look for?

The top searched job categories for Data Analyst Data Science jobs in Missouri are:

What cities in Missouri are hiring for Data Analyst Data Science jobs?

Cities in Missouri with the most Data Analyst Data Science job openings:

Infographic showing various Data Analyst Data Science job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $72,739 per year, or $35 per hour.

Data Analyst Associate

Socket.dev

Saint Louis, MO • On-site

$52 - $72/hr

Other

Medical, Dental, Vision, Retirement

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


Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.


CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.


CLA is currently seeking a Data Analyst Associate to join our growing Data team.


How you’ll create opportunities in this Data Analyst Associate role: Under general guidance, this role makes use of the Microsoft Power Platform or a scripting language to clean up data for analysis and/or visual display in a report or dashboard, and they work out details regarding data access to support a project.


Essential Job Functions

  • Data Analysis: Participate in the collection and analysis of data using a variety of data tools. Together with the Data Analytics team, support the building and implementing of solutions for external clients and internal projects. Assess the effectiveness and accuracy of new data sources and data gathering techniques.

  • Data Development: Working under the guidance of a variety of Data Analytics team members, gain exposure to developing custom data models and algorithms to apply to data sets. Gain experience with predictive analytics, machine learning, and artificial intelligence techniques. Use existing processes and tools to monitor and analyze solution performance and accuracy and communicate findings to team members and end users.

  • Seamless Client Service: Develop a comprehensive understanding of CLA's range of services to provide clients with integrated and seamless service offerings.


Requirements

  • No prior experience is required. 1 year of experience preferred

  • Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions preferred.


Education

  • Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in a field of Statistics, Computer Science, Economics, Analytics, or Data Science (e.g., Informatics, Data Science, Health Data Science) preferred.


#LI-RC1


Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits.

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