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

Description At CSpring, we believe in the power of people and data to drive real-world impact. We ... Write complex SQL queries - multi-table JOINs, aggregations, row counts, null checks, duplicate ...

You'll be validating data pipelines that support a state Medicaid system -- your attention to ... Write complex SQL queries -- multi-table JOINs, aggregations, row counts, null checks, duplicate ...

GIS Developer

Springfield, IL · On-site

$60 - $65/hr

... Python (ArcPy) and SQL for data processing and automation. * Build and deploy interactive web GIS applications using ArcGIS API for JavaScript / Experience Builder. * Perform spatial analysis ...

New

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

... Python (ArcPy) and SQL for data processing and automation. · Build and deploy interactive web GIS applications using ArcGIS API for JavaScript / Experience Builder. · Perform spatial analysis ...

New

Ability to assemble, analyze, and evaluate data. * Strong understanding of SQL. * Curious with desire to continue learning. * Strong critical thinking and problem-solving skills. * Collaborative with ...

... data using SQL. Within the first 6 months - Effectively use Microsoft Team Foundation Server and ... A successful Associate Business Analyst will need to develop a thorough understanding of the ...

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Data Analyst Python Sql information

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$33.7K

$81.9K

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

As of Jun 26, 2026, the average yearly pay for data analyst python sql in Springfield, IL is $81,905.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,100.00 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 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 Springfield, IL? For Data Analyst Python Sql jobs in Springfield, IL, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Springfield, IL look for? The top searched job categories for Data Analyst Python Sql jobs in Springfield, IL are:
What cities near Springfield, IL are hiring for Data Analyst Python Sql jobs? Cities near Springfield, IL with the most Data Analyst Python Sql job openings:
QA Analyst / ETL Tester

QA Analyst / ETL Tester

CSpring

Springfield, IL • On-site

Other

Posted 22 days ago


Job description

Description

At CSpring, we believe in the power of people and data to drive real-world impact. We're a purpose-driven consulting firm that helps organizations solve complex problems, gain insights, and achieve measurable results. Our clients span the public and private sectors, and our work - from data strategy and engineering to workforce transformation - improves lives across Indiana and beyond. We're seeking talented professionals who are collaborative, curious, and committed to making a difference.


Why You'll Love Working Here

  • Work that carries real weight. You'll be validating data pipelines that support a state Medicaid system - your attention to detail has a direct downstream effect on how healthcare information reaches the people who need it.
  • A team that takes quality seriously. CSpring has a culture of rigor and care. We don't ship sloppy work, and we hire people who feel the same way - you'll be surrounded by colleagues who hold the same standard.
  • Room to grow your craft. You'll work across a modern, meaningful stack - Informatica PowerCenter, Teradata, Azure DevOps, and Python automation - with the latitude to improve and automate the processes you own.
  • Collaboration without silos. Our teams work in tight Agile cycles with real communication between QA engineers, ETL developers, and business stakeholders. 
  • Purpose-driven clients. Our government and healthcare clients are doing work that matters to their communities. When you support their data infrastructure, you're part of that mission too.

What You'll Do

You'll own the quality of data as it moves through ETL pipelines in a state Medicaid environment - from reviewing requirements all the way through defect resolution, regression testing, and automation.

  • Review Change Requests (CRs) and participate in requirement analysis for new EDW extracts and transformations.
  • Participate in data modeling and requirement gathering sessions to ensure testing stays aligned with business needs.
  • Perform backend testing to compare data in source systems to target Medicaid Enterprise Data Warehouses (EDW); verify source-to-target data mapping and transformation logic for Medicaid datasets.
  • Validate data quality, standardization rules, and loading accuracy across full-load and incremental-load cycles.
  • Write complex SQL queries - multi-table JOINs, aggregations, row counts, null checks, duplicate checks, and referential integrity validation - to validate ETL outputs against business rules.
  • Design test plans, test cases, and test scenarios for ETL processes; execute both manual and automated tests.
  • Identify, document, and track discrepancies using JIRA, HP ALM, or Azure DevOps Test Plans; collaborate with ETL developers to resolve defects and perform regression testing.
  • Develop automated database validation scripts using Python, SQLAlchemy, and Pandas; create shell scripts for ETL monitoring and log analysis.
  • Integrate test automation into CI/CD pipelines in Azure DevOps.
  • Document test results and provide detailed, actionable feedback to stakeholders.

Requirements

  • 5+ years of experience in software testing and quality assurance
  • 5+ years of experience testing backend, database, EDW, or ETL systems
  • 4+ years of strong SQL experience and hands-on work with at least one RDBMS (Teradata, SQL Server, Oracle, or similar)
  • 4+ years of experience in UI, smoke, end-to-end, and integration testing
  • 4+ years of experience in test design and working with at least one test management tool (Azure DevOps, JIRA, HP ALM)
  • Strong understanding of EDW and ETL concepts, including Star/Snowflake schema and Slowly Changing Dimensions (SCD1/SCD2)
  • Direct experience in a Medicaid, healthcare, or government data environment, including familiarity with HIPAA and healthcare data standards (837/835 claims, ICD-9/10, CPT, HL7)
  • Bachelor's degree in Computer Science, Information Technology, Data Analytics, Mathematics, or a related field

Preferred Qualifications

  • Hands-on experience with Informatica PowerCenter
  • Knowledge of Medicaid reporting, encounter data, and data mart validation
  • Familiarity with Medicaid Enterprise Systems (MES) or a state Medicaid agency (e.g., Illinois HFS)
  • Python test automation and GitHub for code management
  • Experience integrating automated tests into CI/CD pipelines

At CSpring, we unlock the potential of people and data. If you're ready to lead meaningful work, collaborate with passionate teams, and grow your career in a people-first consulting environment - apply today!