1

Data Analyst Python Sql Jobs in Mississippi (NOW HIRING)

Sr Professional, Business Analysis

Oxford, MS · On-site

$87K - $112K/yr

Write and optimize complex SQL queries alongside Python or R scripts for large-scale data cleaning, statistical analysis, and task automation. * BI & Visualization: Design and build interactive ...

SQL Tutor

Starkville, MS · Remote

$18 - $40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... Familiar with SQL curricula and common challenges such as understanding join types, writing complex ...

Strong quantitative, analytical, problem solving, organizational, communication and interpersonal ... Reports directly to Automated Data Sourcing Manager * Interacts with other colleagues at all levels ...

Data Analysis Tutor

Starkville, MS · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

next page

Showing results 1-20

Data Analyst Python Sql information

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

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

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Mississippi? For Data Analyst Python Sql jobs in Mississippi, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Mississippi look for? The top searched job categories for Data Analyst Python Sql jobs in Mississippi are:
What cities in Mississippi are hiring for Data Analyst Python Sql jobs? Cities in Mississippi with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Mississippi as of June 2026, with employment types broken down into 2% Internship, 78% Full Time, 16% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Research Analytics Field Instructor

Research Analytics Field Instructor

Mississippi Valley State University

Itta Bena, MS • On-site

Other

Posted 13 days ago


Job description

Position Information
Position Title Research Analytics Field Instructor Job Description
Position Summary
Mississippi Valley State University seeks a Research Analytics Field Instructor to support institutional analytics, digital learning technologies, and technology-enhanced instructional environments. The position assists with the administration and analysis of learning management systems and institutional data systems while supporting online learning initiatives and instructional technology integration. The Research Analytics Field Instructor contributes to institutional reporting activities including IPEDS, accreditation reporting, and state data submissions, and conducts data analysis using tools such as Python, R, SQL, and related analytics technologies. The role also supports research and innovation initiatives involving data science, machine learning, artificial intelligence, and computational analysis. The position collaborates with faculty, researchers, and technical staff to enhance digital learning environments and support data-informed decision making across the university.
Essential Duties and Responsibilities
  • Support administration and analysis of the University's Learning Management System (LMS) and related instructional technologies used in online and hybrid courses.
  • Conduct learning analytics and data analysis to evaluate student engagement, participation, and course effectiveness.
  • Develop reports, dashboards, and data visualizations to support digital learning initiatives, student success efforts, and institutional decision-making.
  • Utilize Banner and ARGOS reporting systems to extract, analyze, and validate institutional data for operational and strategic reporting.
  • Write and maintain scripts and queries for reporting and data extraction using tools such as SQL, Python, R, or similar analytics technologies.
  • Assist faculty with integrating multimedia, interactive tools, and digital resources into online and blended course design.
  • Develop and maintain online training modules, tutorials, and instructional support materials for faculty and students.
  • Maintain documentation, technical guides, and electronic knowledge base resources related to instructional technology platforms and reporting systems.
  • Collaborate with Information Technology staff to support LMS updates, Banner integrations, data workflows, and instructional technology improvements.
  • Support institutional reporting requirements including IPEDS, accreditation reporting, and state data submissions, and assist with data validation and compliance processes.
Required Qualifications

  • Master's degree from an accredited institution in Bioinformatics, Computer Science, Data Science, Information Technology, Engineering, Educational Technology, or a related field.
  • Experience with data analysis, programming, or computational research methods.
  • Experience working with enterprise data systems such as Banner, ARGOS, or similar reporting environments.
  • Proficiency with programming or analytical tools such as Python, R, SQL, MATLAB, or related technologies.
  • Strong analytical, problem-solving, and organizational skills.
  • Ability to communicate technical information effectively to faculty, staff, and students.

Preferred Qualifications
  • Experience working with Learning Management Systems or instructional technology platforms.
  • Experience with learning analytics or educational data analysis.
  • Experience developing web-based tools, mobile applications, or digital learning technologies.
  • Experience with machine learning, artificial intelligence, or computational research methods.
  • Experience developing reporting scripts, dashboards, or automated reporting solutions.
  • Experience presenting or publishing research in academic or professional venues.
Knowledge, Skills, and Abilities
  • Data analysis and statistical modeling
  • Programming and computational research
  • Learning analytics and educational data analysis
  • Digital learning technologies and instructional platforms
  • Data visualization and reporting
  • Multimedia and digital learning content development
  • Technical documentation and knowledge base development
  • Collaboration with interdisciplinary academic and technical teams

Physical Demands
Lifting (lbs) | YES
Carrying (lbs) | X |
Walking | X 25% |
Standing | X25% |
Sitting | X25% |
Climbing, Balancing (e.g. climbing working from ladder) | X20% |
Use of Hands to Finger, Handle or Feel | X60% |
Physical Coordination (sequential or simultaneous use of hands, arms, feet and legs) | NO |
Color Vision (ability to identify and distinguish colors) | X |
Depth perception (ability to judge distance spatial relationships) | X |
Hearing | X80% |
Cognitive Ability (clear thinking ability, discernment and ability to make decisions. Read, write, problem-solve use of discretion. | X80% |
Posting Detail Information
Posting Number SF873P Open Date 03/16/2026 Close Date Open Until Filled Yes Special Instructions to Applicants