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Data Analyst Jobs in Missouri (NOW HIRING)

Stellar IT Group

Data Analyst

Saint Louis, MO · On-site

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 ...

AaraTechnologies Inc

DATA ANALYST

Kansas City, MO · On-site

Data Analyst Healthcare (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a detail-oriented Data Analyst Healthcare (2-3 years experience) to support healthcare ...

Jobgether

Our partner is looking for a Data Analyst based in Netherlands. This role is an excellent opportunity to drive business decisions through data, analytics, and automation. You will work closely with ...

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 ...

staffit solutions

Data Analyst

Saint Louis, MO · On-site

This position will be responsible for understanding and analyzing complex business & data requirements. Prepare detailed functional specifications that drive the design of data model and ETL ...

staffit solutions

Data Analyst

Saint Louis, MO · On-site

Company Description Description : • This position will be responsible for understanding and analyzing complex business & data requirements. • Prepare detailed functional specifications that drive ...

Lockton, Inc.

Data Analyst

Kansas City, MO · On-site

Data Analyst - Casualty Duties: * Collects data and analyzes client information * Works collaboratively with managers and other teammates to collect and clean data, ensuring reporting is accurate ...

Pivotal Solutions

Data Analyst

Fenton, MO · On-site

Job Summary The IT Data Analyst position is an exciting opportunity to work on multiple applications and is responsible for multiple technologies and interfaces within the organization. Many of our ...

Leidos

Data Analyst

Saint Louis, MO · On-site

$50K - $91K/yr

Analyze and evaluate Foundation Data to ensure coverage, accuracy, currency, completeness, and applicability to mission and data requirements. * Participate in technical exchanges with Government and ...

Schuber Mitchell Homes LLC

Data Analyst

Joplin, MO · On-site

Position Summary The Data Analyst collaborates with business users to create report specifications and develop, test, and deploy reports and dashboards that can be used to make sound business ...

Guarantee Electrical

Data Analyst I

Saint Louis, MO · On-site

JOIN OUR TEAM Guarantee Electrical is building its data and analytics function from the ground up and we're looking for a Data Analyst to join the team. You'll report directly to our Director of Data ...

Guarantee Electrical

Data Analyst I

Saint Louis, MO · On-site

JOIN OUR TEAM Guarantee Electrical is building its data and analytics function from the ground up and we're looking for a Data Analyst to join the team. You'll report directly to our Director of Data ...

Walmart

Data Analyst II

Cassville, MO · On-site

$70K - $130K/yr

The (USA) Data Analyst II plays a critical role in supporting business decision-making through comprehensive data analysis, quality management, and visualization. This position involves identifying ...

Cliftonlarsonallen

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, or they work out details regarding data access to support a project. Our Data Analysts favorite ...

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All JobsData Analyst JobsData Analyst Jobs in Missouri

Data Analyst information

See Missouri salary details

$31.9K

$77.5K

$127.6K

How much do data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for 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 is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

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 AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
More about 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 Data Analyst jobs in Missouri? For Data Analyst jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Missouri look for? The top searched job categories for Data Analyst jobs in Missouri are:
What cities in Missouri are hiring for Data Analyst jobs? Cities in Missouri with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Missouri as of July 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 76% In-person, 8% Hybrid, and 16% 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

Posted yesterday

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

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