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Data Analyst Python Sql Jobs in College Station, TX

Bioinformatics and data analysis using R and Python. AI/ML-assisted biological data analysis. Ability to manage laboratory personnel, inventory, and research projects. Strong background in preparing ...

Research Associate

Bryan, TX ยท On-site

$60 - $80/hr

Proficiency in Python coding, Machine Learning programing, and data analysis experience Knowledge, Skills, and Abilities * Ability and flexibility to routinely travel for fieldwork * Ability and ...

New

Business Analytics Tutor

Bryan, TX ยท Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Proficiency in Python coding, Machine Learning programing, and data analysis experience Knowledge, Skills, and Abilities: * Ability and flexibility to routinely travel for fieldwork * Ability and ...

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Data Analyst Python Sql information

See College Station, TX salary details

$28.1K

$68.3K

$112.5K

How much do data analyst python sql jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analyst python sql in College Station, TX is $68,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,700.00 and $80,200.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

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?

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.

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 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 job categories do people searching Data Analyst Python Sql jobs in College Station, TX look for?

The top searched job categories for Data Analyst Python Sql jobs in College Station, TX are:

What cities near College Station, TX are hiring for Data Analyst Python Sql jobs?

Cities near College Station, TX with the most Data Analyst Python Sql job openings:

Infographic showing various Data Analyst Python Sql job openings in College Station, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $68,343 per year, or $32.9 per hour.

Research Engineer II - Data Visualization

The Texas A&M University System

Bryan, TX โ€ข On-site

$4.6K - $7.9K/mo

Full-time

Medical, Retirement, PTO

Posted 5 days ago


Job description

Job Title
Research Engineer II - Data Visualization
Agency
Texas A&M University System Offices
Department
Bush Combat Development Complex
Proposed Minimum Salary
Commensurate
Job Location
Bryan, Texas
Job Type
Staff
Job Description
The System Offices is one of several system members within the Texas A&M University System representing one of the largest systems of higher education in the nation, with a network of 12 universities, a comprehensive health science center, eight state agencies, Texas A&M - Fort Worth and the Texas A&M - RELLIS Campus. The Texas A&M University System mission is to provide education, conduct research, commercialize technology, offer training, and deliver services for the people of Texas and beyond.
The System Offices, within the Texas A&M University System, provides an outstanding benefits package including, but not limited to: competitive health benefits; paid vacation, sick leave, and holidays; a defined benefit retirement plan to include an employer contribution through Teachers Retirement System of Texas (TRS); if applicable, a defined contribution retirement plan to include an employer contribution through an approved ORP vendor: additional voluntary tax deferred annuity (TDA) options; tuition assistance; and wellness programs to promote work/life balance.
Salary:
$4,617.67 - $7,916.67 per month commensurate with experience.
Job Description Summary:
The Research Engineer II - Visualization Analytics Engineer independently applies scientific, software engineering, and data analytics expertise to develop advanced visualization, analytics, and decision-support capabilities supporting the George H.W. Bush Combat Development Complex (BCDC). Reporting to the Networks, Analytics & Data Operations (NADO) Unit Lead, this position transforms complex research, test, and operational data into intuitive visual products that accelerate analysis and improve decision-making for researchers, test directors, and external sponsors.
The Visual Analytics Engineer collaborates with multidisciplinary teams across the BCDC, Innovation Proving Grounds (IPG), Ballistics, Aero-Optics & Materials (BAM), Texas A&M System organizations, government agencies, industry partners, and universities to design, develop, and deploy modern visualization and analytics solutions supporting experimentation, digital engineering, autonomy, AI/ML, and advanced test and evaluation.
Responsibilities:
- Design and develop interactive data visualization applications supporting research, experimentation, and operational test events.
- Transform complex engineering, scientific, sensor, and telemetry datasets into intuitive visual products for technical and executive audiences.
- Develop dashboards and analytical applications using modern visualization frameworks including Plotly Dash, Tableau, Power BI, D3.js, Grafana, or equivalent technologies.
- Design visual interfaces supporting real-time monitoring of research experiments, instrumentation systems, autonomous platforms, and range operations.
- Collaborate with research engineers to understand scientific objectives and translate analytical requirements into visualization solutions.
- Develop automated data pipelines supporting ingestion, cleaning, transformation, and visualization of structured and unstructured data.
- Support visualization of machine learning outputs including model performance, feature importance, confidence metrics, clustering, classification, and anomaly detection.
- Integrate visualization capabilities into software applications, APIs, databases, cloud platforms, and edge computing environments.
- Develop web-based tools enabling researchers to explore, filter, compare, and analyze experimental data.
- Create geospatial visualization products supporting test range operations, mobile platforms, and distributed sensing.
- Participate in verification and validation activities to ensure data integrity and visualization accuracy.
- Support post-test analysis by developing reports, interactive replay tools, and analytical products.
- Document visualization architectures, workflows, software, and technical procedures.
- Mentor student researchers, interns, and junior engineers.
- Support field testing and experimentation activities as required.
- Perform other duties as assigned.
Qualifications:
- Bachelor's degree in Computer Science, Data Science, Computer Engineering, Software Engineering, Electrical Engineering, or related STEM discipline, or equivalent combination of education and experience.
- Two years of progressively responsible experience in data visualization, scientific computing, software engineering, analytics, or related research.
Registration, Certifications, and Licenses:
- Must be able to gain and maintain a DoD (Department of Defense) security clearance.
Knowledge, Skills, and Abilities:
- Experience developing software using Python.
- Experience in querying relational databases using SQL.
- Creation of technical visualizations or analytical dashboards (such as with Plotly Dash, Tableau, Power BI, D3.js, Grafana or similar tools.
- Strong Communication skills, including the ability to translate technical results from non-technical audiences.
- Ability to produce publication-quality graphics, present finding and collaborate with multidisciplinary teams.
- Ability to support field operations in varying environmental conductions.
- Willing and able to travel occasionally.
- Ability to multi-task and work cooperatively with others.
Preferred Qualifications:
- Proficiency with Git version control and REST APIs.
- Experience working in Linux and Windows development environments.
- Understanding of data engineering concepts, including data transformation pipelines, structured and semi-structured data (CSV, JSON, XML), and database design fundamentals.
- Experience with Pandas and NumPy.
- Understanding of object-oriented programming, software development lifecycle, testing and debugging, documentation, and Agile development practices.
- Knowledge of statistical analysis, machine learning fundamentals, model evaluation, data exploration, pattern recognition, and time-series analysis.
- Experience with AI/ML visualization (e.g., model performance, feature importance, clustering, anomaly detection).
- Experience with computer vision.
- Experience with geospatial information systems (GIS) and geospatial visualization.
- Experience with ROS/ROS2.
- Experience with RabbitMQ, Kafka, MQTT, DDS, or similar messaging/streaming technologies.
- Experience with digital engineering or digital twins.
- Experience with scientific visualization tools and methods.
- Experience with NVIDIA CUDA or GPU computing.
- Experience with Docker or Kubernetes containerization and orchestration.
- Experience developing web applications using JavaScript or TypeScript and applying UX/UI design principles.
- Experience with network visualization and sensor fusion.
- Experience with real-time streaming analytics and time-series databases.
- Experience visualizing telemetry from autonomous platforms and sensors.
- Experience supporting live experimental/test events or operational test and evaluation environments.
- Experience working with large-scale scientific datasets.
- Experience producing research publications, technical reports, or documentation.
- Experience integrating visualization solutions with cloud or edge analytics.
- Experience with data acquisition systems.
- Experience in defense research or test environments.
- Experience mentoring students, interns, or junior engineers.
Other Requirements:
This is a security-sensitive position and is restricted to U.S. citizens only. Only complete applications will be considered for employment at The Texas A&M System Offices. Incomplete job application data could result in your application being rejected without an option to reapply. A cover letter and resume may be required in addition to a completed employment application.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.
Equal Opportunity/Veterans/Disability Employer.