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

MSR Technology Group

EDW MDM ETL Expert

Springfield, IL · Remote

Develop and maintain complex SQL queries and data processing logic * Collaborate with business, QA, ... Python experience for automation, scripting, or data processing * Bachelor's degree or equivalent ...

ICF

Senior Business Analyst

Springfield, IL · On-site +1

$91K - $118K/yr

Analyze datasets using Excel, SQL, Power BI, or related tools to identify trends, anomalies, root causes, and business insights; validate data quality and recommend practical actions. * Proactively ...

Reli Group Inc

Power BI Intern

Springfield, IL

$15/hr

... Data Analytics, Statistics, Information Systems, Business, or related field. * Basic experience or coursework with Power BI, including DAX and Power Query. * Familiarity with Excel and basic SQL.

Reli Group Inc

Power BI Intern

Springfield, IL · On-site

$15/hr

... Data Analytics, Statistics, Information Systems, Business, or related field. * Basic experience or coursework with Power BI, including DAX and Power Query. * Familiarity with Excel and basic SQL.

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Data Analyst Python Sql information

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$33.7K

$81.9K

$134.8K

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

As of Sep 15, 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.

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 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:

Data Analyst Python Sql jobs near you

MDM ETL Specialist / Developer

Springfield, IL • Remote

CSpring
51 - 200 employees
Learn more about CSpringexternal

Full-time

Re-posted 11 days ago

Job description

Description

At CSpring, we believe in the power of data to drive decisions and real-world impact. We're a purpose-driven consulting firm specializing in data strategy, data engineering, and data analytics. Our clients span the public and private sectors, and our work helps them solve complex problems, gain insights, and achieve measurable results.  


We're seeking talented professionals who are collaborative, curious, and committed to making a difference that thrive at the intersection of data, technology, and business strategy. Whether you're passionate about transforming public programs, enabling executive decision-making, or modernizing legacy systems, you'll find meaningful work and purpose here.


Why You'll Love Working Here

  • Purposeful Projects - Improve systems that serve real people by delivering smarter data, streamlined processes, and strategic insight.
  • People-First Culture - We're as committed to your growth as we are to delivering high-impact solutions. You'll find support, autonomy, and community here.
  • Strategic, Hands-On Work - From data architecture and documentation to client workshops and solution delivery, you'll influence every step of the process.
  • Collaborative Trust - Our clients rely on us to listen carefully, deliver consistently, and guide wisely. We partner with integrity, curiosity, and heart.

What You'll Do

Working under the guidance of the MDM Technical Lead, you'll provide hands-on technical development and delivery support for MDM services:

  • Use the Informatica MDM tool to combine source data from agency sources, applying required transformations, applying corrections to the source files, and adding new fields via the change request process.
  • Support MDM development and operational activities using working knowledge of Informatica MDM.
  • Automate the staging of data by scheduling scripts to run at optimal times, enhancing overall system performance and efficiency.
  • Implement MDM jobs by creating mappings, mapplets, sessions, and workflows.
  • Work with different ETL transformations, including Aggregator, Expression, Filter, Router, Sequence Generator, Update Strategy, Joiner, Rank and Source Qualifier, Lookup, and Sorter.
  • Schedule and monitor ETL/Informatica jobs in development, system testing, and production environments.
  • Troubleshoot post-release production support issues and develop solutions.
  • Develop, maintain, and analyze complex SQL queries and scripts used to create data marts in Teradata.
  • Work directly with the QA team to support defect resolution, validation, and testing of MDM-related processes.
  • Participate in project discussions to document and recommend alternative technical solutions or requirements, and in unit, integration, and system testing.

Requirements

What You Bring

  • 5+ years of experience in MDM, ETL/ELT, data engineering, or data integration development.
  • 3+ years of hands-on Informatica MDM implementation experience.
  • Experience developing ETL mappings, mapplets, sessions, workflows, transformations, scheduling, monitoring, and troubleshooting Informatica jobs.
  • SQL experience, with large MDM and DBMS enterprise relational platforms.
  • Experience with data quality, matching, unique client/member identifier, standardization, reconciliation, and data governance concepts.
  • Experience supporting ETL/MDM operations, performance tuning, issue resolution, and SDLC delivery.
  • Experience with Python programming for scripting, automation, testing, or data processing support.
  • Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, or equivalent experience. If your experience got you here another way, apply anyway.

Preferred Qualifications

  • Experience working in other MDM tools, including cloud-native MDM solutions.
  • Experience working in State government, public sector, or regulated environments.
  • Experience with Agile/Scrum sprint development and iterative/incremental delivery.
  • Experience with healthcare, Medicaid, claims, eligibility, provider, or Health and Human Services data.
  • Exposure to interoperability formats such as X12, EDI, XML, JSON, APIs, or HL7/FHIR.
  • Exposure to cloud data platforms or modernization initiatives such as Azure, ADF, Databricks, Snowflake, or Data Lake.
  • Experience with on-prem-to-cloud migration, MDM modernization, or EDW / ETL modernization initiatives.
  • Exposure to automation, AI/ML, GenAI, or LLM-assisted engineering for development, testing, documentation, profiling, or data quality.
  • Ability to operate in a telecommute environment and matrix organization with minimal direction.


Come Build With Us

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



Apply