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Data Analytics Computer Science Jobs in St Louis, MO

We are seeking a Data Analytics & Visualization Engineer to join the Real-Time Visibility (RTV ... Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or ...

... Computer Science, Biomedical Engineering * 5 years of professional related experience with Machine ... Analyze data and make decisions/recommendations, using data to guide decision-making and provide ...

Sr. Data Scientist

Hazelwood, MO · On-site

$115 - $160/hr

... Computer Science, Biomedical Engineering * 5 years of professional related experience with Machine ... Analyze data and make decisions/recommendations, using data to guide decision-making and provide ...

... Computer Science, Biomedical Engineering * 5 years of professional related experience with Machine ... Analyze data and make decisions/recommendations, using data to guide decision-making and provide ...

Data Analytics & Visualization Engineer

Shiloh, IL · On-site

$106K - $128K/yr

We are seeking a Data Analytics & Visualization Engineer to join the Real-Time Visibility (RTV ... Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or ...

... Computer Science, Biomedical Engineering * 5 years of professional related experience with Machine ... Analyze data and make decisions/recommendations, using data to guide decision-making and provide ...

... Computer Science, Biomedical Engineering * 5 years of professional related experience with Machine ... Analyze data and make decisions/recommendations, using data to guide decision-making and provide ...

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Showing results 1-20

Data Analytics Computer Science information

See St Louis, MO salary details

$23

$53

$91

How much do data analytics computer science jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for data analytics computer science in St. Louis, MO is $53.23, according to ZipRecruiter salary data. Most workers in this role earn between $42.79 and $60.29 per hour, depending on experience, location, and employer.

What is the difference between Data Analytics Computer Science vs Data Science?

AspectData Analytics Computer ScienceData Science
Required CredentialsBachelor's in Computer Science, Data Analytics, or related fields; certifications like Google Data AnalyticsBachelor's or higher in Computer Science, Statistics, or related; certifications like Certified Data Scientist
Work EnvironmentBusiness settings, analytics teams, IT departmentsResearch labs, tech companies, consulting firms
Employer & Industry UsageFinance, healthcare, marketing, retailTech, finance, healthcare, academia

Data Analytics Computer Science focuses on analyzing data to inform business decisions using programming and statistical tools. Data Science encompasses a broader scope, including developing models, machine learning, and predictive analytics. While both roles require similar credentials and often work in overlapping industries, Data Science typically involves more advanced statistical and modeling skills, whereas Data Analytics Computer Science emphasizes data processing and visualization for decision-making.

Infographic showing various Data Analytics Computer Science job openings in St. Louis, MO as of August 2026, with employment types broken down into 12% Internship, 64% Full Time, 18% Part Time, and 6% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $110,711 per year, or $53.2 per hour.

Job Title: Junior Data Analyst

Saint Louis, MO • Remote

$50K/yr

Full-time

Re-posted 15 days ago


Job description

Job Title: Junior Data Analyst (0–2 Years)

Location: Remote (United States)
Employment Type: Full-Time (W2) or Independent Contractor (1099)
Experience: 0–2 Years
Salary: $50,000 per year
Benefits: None
Visa Sponsorship: Not Available

Job Summary

We are looking for a Junior Data Analyst to collect, analyze, and interpret data to help drive business decisions. This is an excellent opportunity for candidates beginning their careers in data analytics.

Responsibilities
  • Collect, clean, and validate datasets.
  • Build reports and dashboards.
  • Analyze trends and identify business insights.
  • Write basic SQL queries.
  • Create visualizations using Power BI or Tableau.
  • Document findings and present recommendations.
  • Support data quality initiatives.
Required Qualifications
  • Bachelor's degree in Data Analytics, Computer Science, Mathematics, Statistics, or related field.
  • 0–2 years of experience in data analysis.
  • Knowledge of SQL and Microsoft Excel.
  • Familiarity with Power BI or Tableau.
  • Basic Python or R is a plus.
  • Strong analytical and problem-solving skills.