1

Data Analyst Python Sql Jobs in Urbana, IL (NOW HIRING)

SQL Tutor

Champaign, IL · 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 ...

Data Analysis Tutor

Champaign, IL · 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 ...

Data Science Tutor

Champaign, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Shared Services Analyst

Champaign, IL · On-site

$73K - $83K/yr

... SQL and/or similar data analysis/reporting tools. · Experience with Lean Management and/or Six Sigma methodology. Why Join CJ Logistics? CJ Logistics About Statement: At CJ Logistics America, we ...

Shared Services Analyst

Champaign, IL · On-site

$73K - $83K/yr

... SQL and/or similar data analysis/reporting tools. • Experience with Lean Management and/or Six Sigma methodology. Why Join CJ Logistics? CJ Logistics About Statement: At CJ Logistics America, we ...

... SQL and/or similar data analysis/reporting tools. · Experience with Lean Management and/or Six Sigma methodology. Why Join CJ Logistics? CJ Logistics About Statement: At CJ Logistics America, we ...

next page

Showing results 1-20

Data Analyst Python Sql information

See Urbana, IL salary details

$34.2K

$83.2K

$136.9K

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

As of Aug 5, 2026, the average yearly pay for data analyst python sql in Urbana, IL is $83,173.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $97,600.00 per year, depending on experience, location, and employer.

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 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 jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

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.

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 Urbana, IL? For Data Analyst Python Sql jobs in Urbana, IL, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Urbana, IL look for? The top searched job categories for Data Analyst Python Sql jobs in Urbana, IL are:
What cities near Urbana, IL are hiring for Data Analyst Python Sql jobs? Cities near Urbana, IL with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Urbana, IL as of July 2026, with employment types broken down into 2% Internship, 67% Full Time, 7% Part Time, and 24% Contract. Highlights an 82% In-person, 2% Hybrid, and 16% Remote job distribution, with an average salary of $83,173 per year, or $40 per hour.

EJP Data Stewardship Application

Education Justice Project

Champaign, IL • Hybrid

$32.27/hr

Part-time

Re-posted 7 days ago


Job description

Application Deadline: We will give preference to applications received by Friday August 7, 2026.

Note: This position is for enrolled UIUC students only.


EJP is seeking a dynamic, organized, and results-driven University of Illinois Urbana-Champaign student who is planning to graduate in May 2027 or later to join our Data Stewardship Team. Team members are responsible for creating and maintaining EJP databases and dashboards, as well as supporting other tasks related to recording, managing, and analysing quantitative data connected to our work.
This position is based on campus and does not require prison clearance. All work is conducted virtually.

Position Requirements

  • Advanced proficiency in Tableau, including dashboard design and data visualization best practices
  • Foundational knowledge of machine learning concepts, particularly in developing models to support searchable database systems and data retrieval optimization.
  • Ability to interpret data and translate findings into actionable insights and key performance indicators (KPIs)
  • Experience collecting, cleaning, processing, and filtering datasets from multiple sources
  • Ability to collaborate cross-functionally to understand stakeholder requirements and translate them into reporting solutions
  • Excellent verbal and written communication skills, including the ability to present data clearly to non-technical audiences
  • Commitment to social justice

Preferred Skills

  • Proficiency in SQL for data querying, reporting, and relational database management
  • Experience with Python for data analysis, automation, and data pipeline development
  • Working knowledge of Salesforce reporting, data structures, and CRM analytics
  • Experience with Google Analytics and BigQuery for web data extraction, transformation, and analysis
  • Strong web analytics expertise, including traffic analysis, user behaviour tracking, and conversion monitoring
  • Marketing analytics experience using web-based tools (e.g.,
    Tag Manager, SEO tools, campaign tracking platforms)


Examples of Responsibilities Shared Among Team Members

  • Develop and maintain data visualizations and dashboards based on financial and quantitative datasets
  • Analyse data to generate actionable insights and support data-informed decision-making across EJP
  • Translate analytical findings into clear explanations to help team members better understand program performance and impact
  • Identify opportunities to improve ongoing processes and propose data-driven solutions
  • Summarize data and run reports as needed to support operational and strategic needs
  • Maintain and validate existing (legacy) dashboards to ensure data accuracy and consistency
  • Document data processes, workflows, and reporting structures to support knowledge transfer and continuity
  • Create user guides and training materials for EJP databases and reporting systems
  • Train interns and team members on dashboards and reporting tools

All team members are required to:

  • Attend weekly team meetings, to bescheduled.
  • Strive to become engaged in the EJP community

Team members typically work approximately 15 hours per week, depending on project needs.

It's possible not to work in a given week and to put in extra hours the following week. In other words, the position offers flexibility to accommodate a person's schedule.


Although this is primarily a technical role, all EJP team members are encouraged to engage with the broader EJP community and take advantage of opportunities to learn about issues related to criminal justice and incarceration.

Compensation

Starts at $31.03/hour for Master's students and $32.27/hour for PhD students. This job is especially well suited for a grad student, but undergrads are welcome to apply as well.