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Data Analyst Jobs in Missouri (NOW HIRING)

$77K - $116K/yr

Advise on data structure, data quality, missing data, and analytic assumptions * GRANT DEVELOPMENT and Strategic research SUPPORT Support grant development (e.g., NIH, society, foundation, industry ...

Leggett & Platt is seeking a Quality Data Analyst to join our product development team at the IDEA Center in Carthage, MO. This is an excellent opportunity to be part of a close-knit team in a global ...

Data Analyst - GEOINT SME

Saint Louis, MO · On-site

$110K - $135K/yr

Data Analyst - GEOINT Technical SME Work Role: Everforth ECS is seeking a Data Analyst GEOINT SME that encompasses a comprehensive skill set focused on leveraging data to enhance organizational ...

New

(USA) Principal, Data Analyst

Noel, MO · On-site

$90K - $180K/yr

As a Principal Data Analyst at Walmart, you will lead the formulation and resolution of complex business problems through advanced data analytics and strategic insights. This role requires expertise ...

As a Principal Data Analyst at Walmart, you will lead the formulation and resolution of complex business problems through advanced data analytics and strategic insights. This role requires expertise ...

A minimum of 1-2 years' experience in the insurance industry, specifically in employee welfare benefits or pharmacy data analytics * Knowledge of the Pharmacy Benefit Management (PBM) industry ...

Role Summary The Data Analyst 2 will collect, compile, transform, and analyze data, metrics, and statistics from various internal and external sources to create reports and insights to inform ...

New

As a Principal Data Analyst at Walmart, you will lead the formulation and resolution of complex business problems through advanced data analytics and strategic insights. This role requires expertise ...

The (USA) Principal, Data Analyst leads advanced data initiatives by translating complex business challenges into actionable insights through rigorous analysis and strategic data management. This ...

Showing results 41-60

Data Analyst information

See Missouri salary details

$31.9K

$77.5K

$127.6K

How much do data analyst jobs pay per year?

As of Sep 7, 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 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.

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 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.

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.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

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 cities in Missouri are hiring for Data Analyst jobs?

Cities in Missouri with the most Data Analyst job openings:

Infographic showing various Data Analyst 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 $77,517 per year, or $37.3 per hour.

$77K - $116K/yr

Full-time

Re-posted 13 days ago


University Of Rochester rating

8.3

Company rating: 8.3 out of 10

Based on 189 frontline employees who took The Breakroom Quiz

127th of 631 rated colleges and universities


Job description

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.

Job Location (Full Address):

601 Elmwood Ave, Rochester, New York, United States of America, 14642

Opening:

Worker Subtype:

Regular

Time Type:

Full time

Scheduled Weekly Hours:

40

Department:

400129 Surgery Research

Work Shift:

UR - Day (United States of America)

Range:

UR URG 113

Compensation Range:

$77,600.00 - $116,400.00

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

Responsibilities:

The Department of Surgery seeks a Bioinformatics Analyst II to provide biostatistical and methodological support to surgery faculty conducting clinical, translational, and health services research. This position functions as a shared departmental resource, collaborating with investigators across divisions to strengthen study design, analytic rigor, grant competitiveness, and scholarly dissemination. This role is within the Department of Surgery and supports multiple divisions. The position provides opportunities for scholarly collaboration, co-authorship, and professional development within an academic medical center. The Bioinformatics Analyst II contributes to scholary output and strengthens the biostatistics aspects of research to improve competitiveness of grants and manuscripts. They may participate in additional professional development activities to support their growth.

ESSENTIAL FUNCTIONS

  • Advanced BIOSTATISTICS CONSULTING PRE-AWARD Provide biostatistical consultation prior to grant submissions for study design, analysis, and interpretation.

  • Complex Statistical ANALYSIS FOR GRANTS AND MANUSCRIPTS Conduct statistical analyses using appropriate and reproducible methods. Advise on data structure, data quality, missing data, and analytic assumptions

  • GRANT DEVELOPMENT and Strategic research SUPPORT

    Support grant development (e.g., NIH, society, foundation, industry), including power/sample size calculations and statistical methods sections

  • MANUSCRIPT DEVELOPMENT AND REPORTING Contribute to manuscripts, including statistical methods, results, tables, and figures; participate as a co-author when appropriate. Ensure compliance with institutional, regulatory, and reporting standards.

  • COLLABORATION AND COMMUNICATION: Work closely with research teams to translate biological questions into computational solutions. Present technical progress and challenges clearly to technical and non-technical stakeholders.

  • TRAINING AND ADMINSTRATIVE DUTIES Provide statistical guidance to trainees and faculty. Work with the surgery research office to update regarding ongoing activities and future biostatistical needs

MINIMUM EDUCATION & EXPERIENCE

  • Bachelor's degree required

  • Master's or Advanced Degree (PhD in Biostatistics, Statistics, Data Science, or a related quantitative discipline) preferred

  • 3 years of relevant experience required

  • Experience working in an academic medical center and with NIH-funded research preferred
    or equivalent combination of education and experience


KNOWLEDGE, SKILLS AND ABILITIES

REQUIRED

  • Experience with Azure/AWS or other cloud platform development/deployment
  • Experience with statistical programming and data visualization using R/Bioconductor and UNIX/Linux programming
  • Experience with interface, networking, and data warehousing technologies, as well as design, relational database technologies, and performance tuning
  • Proven track record executing multiple work streams and producing consistent results
  • Able to create novel techniques, programs and systems by innovation or by extracting/synthesizing features or elements from other systems, databases and/or programs at all phases inception, design, testing, implementation, evaluation and future progression and development
  • Ability to create a cascade of interrelated experiments, programs and/or systems that execute, analyze and construct upon the previous and in scientific succession
  • Competency with Python, JAVA, Perl, C++, and Cloud computing


PREFERRED

  • Expert knowledge of statistical methods to translate complex data into actionable insights
  • Ability to work independently using professional judgement in selecting statistical methods
  • Excellent verbal and written communication skills, with the ability to present complex information in a clear and concise manner
  • Strong problem-solving skills with a strategic mindset
  • Experience with data visualization tools such as Tableau, Power BI, or similar
  • Strong understanding of statistical analysis and predictive modeling
  • Ability to work collaboratively
  • Ability to contribute to grants, peer-reviewed publications, and research demands
  • Strong organizational skills
  • Proficiency in coding ability (R, SAS, Stata) for data processing and analysis, Advanced statistical analysis, or similar statistical software
  • Familiarity with clinical research and bringing advanced analysis to different research faculty
  • Data engineering, programming, scientific data management, statistical methods for scientific and clinical research,
  • Web interface, design and development experience, Javascript, Python/Flask or related programming experience, including source control tools such as GIT

The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status,or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.


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