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

Write efficient SQL queries to extract data from databases and data warehouses, maintaining data ... Streamline data collection and reporting workflows using scripting languages like Python or R.

Analyze large datasets using Python, SQL, and statistical methods to identify patterns and trends ... Automate data workflows and reporting processes to improve operational efficiency. Ensure data ...

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Python and SQL * Machine Learning / Data Analytics * Power BI or Tableau * Interest in Generative AI, LLMs and RAG * Strong analytical and problem-solving skills What you'll work on: * Real-world ...

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Python and SQL * Machine Learning / Data Analytics * Power BI or Tableau * Interest in Generative AI, LLMs and RAG * Strong analytical and problem-solving skills What you'll work on: * Real-world ...

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Python and SQL * Machine Learning / Data Analytics * Power BI or Tableau * Interest in Generative AI, LLMs and RAG * Strong analytical and problem-solving skills What you'll work on: * Real-world ...

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... and data interpretation * SQL, or the willingness to learn it quickly * Some experience with AI ... Your analysis will directly shape trading decisions from day one * Competitive compensation in a ...

... and data interpretation * SQL, or the willingness to learn it quickly * Some experience with AI ... Your analysis will directly shape trading decisions from day one * Competitive compensation in a ...

Data Analyst

Chicago, IL · Hybrid

$75K - $95K/yr

Develop and maintain Python notebooks using SQL, Spark, and related technologies for data analysis, exploration, and reporting * Create dashboards that effectively communicate insights to business ...

They will possess skills in data analytics, SQL, Python, Jira, large dataset analysis, data reconciliation/validation, and API based integrations. Experience working with APIs and webhooks to ...

Only W2 · Collect, clean, and analyze data from multiple sources. · Write SQL queries to extract ... Preferred Skills: · Python, especially Pandas and NumPy. · Power BI/DAX or Tableau. · Basic ...

Senior Data Analyst

Chicago, IL · On-site

$95K - $115K/yr

As the Senior Data Analyst, you will be focused on leveraging SQL, Python, and BI tools to identify opportunities, optimize key metrics, and measure performance across the organization. This is a ...

Use SQL to query databases and retrieve data; apply Excel and visualization tools to explore and ... Preferred * Experience with Python or R for data manipulation and statistical analysis.

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Use SQL to query databases and retrieve data; apply Excel and visualization tools to explore and ... Preferred * Experience with Python or R for data manipulation and statistical analysis.

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Senior Commercial Data Analyst

Chicago, IL · On-site

$88K - $111K/yr

Senior Commercial Data Analyst (Sales Analytics / BI) Location: Remote A growing food manufacturing ... SQL | Python | Salesforce Analytics | SAP | Forecasting | Predictive Analytics | CPG | Food ...

Chicago IL Jobs, Python Software Engineer, Python, SQL, Stored Procedures, Data Models, ETL, Node.js, Programmer Analyst, Programming, Software Developer, Trading, Financial, Chicago Recruiters ...

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Data Analyst Python Sql information

See Naperville, IL salary details

$33.9K

$82.5K

$135.8K

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

As of Aug 27, 2026, the average yearly pay for data analyst python sql in Naperville, IL is $82,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 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 Naperville, IL?

For Data Analyst Python Sql jobs in Naperville, IL, the most frequently searched job titles are:

What cities near Naperville, IL are hiring for Data Analyst Python Sql jobs?

Cities near Naperville, IL with the most Data Analyst Python Sql job openings:

Infographic showing various Data Analyst Python Sql job openings in Naperville, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,517 per year, or $39.7 per hour.

Data Analyst

MaximaTek

Chicago, IL • On-site

Other

Posted 21 days ago


Job description

About the Role: Data Analyst

We are seeking a detail-oriented Data Analyst to turn raw data into actionable insights, build interactive dashboards, and support data-driven decision-making across cross-functional teams. In this role, you will analyze complex datasets, maintain data pipelines, and partner with stakeholders to solve business problems and optimize performance.

Core Responsibilities

  1. Data Analysis & Insights: Collect, clean, and analyze large datasets to identify trends, patterns, and operational performance metrics.
  2. Dashboard & Reporting: Design, build, and maintain interactive dashboards and automated reports using tools like Power BI, Tableau, or Looker.
  3. Cross-Functional Collaboration: Partner with product, business, and engineering teams to define key performance indicators (KPIs) and deliver actionable recommendations.
  4. Data Modeling & Querying: Write efficient SQL queries to extract data from databases and data warehouses, maintaining data accuracy and integrity.
  5. Process Automation: Streamline data collection and reporting workflows using scripting languages like Python or R.
  6. Documentation & Quality: Document data definitions, analytical processes, and reporting methodologies to ensure consistency and quality control.

Qualifications

  1. Education: Bachelor’s degree in Data Analytics, Computer Science, Statistics, Information Systems, Business Administration, or a related field (Required).
  2. Experience: 0–5 years of experience in data analytics, business intelligence, or reporting.
  3. Technical Skills (Required):
  • Strong proficiency in SQL for data querying and extraction.
  • Hands-on experience with data visualization platforms (Power BI, Tableau, Looker).
  • Solid understanding of relational databases and data warehouse concepts.
  • Scripting ability in Python or R for data analysis and manipulation (Pandas, NumPy).
  • Advanced knowledge of Microsoft Excel (PivotTables, Advanced Formulas, Power Query).
  1. Preferred Skills:
  • Relevant certifications (e.g., Microsoft Certified: Data Analyst Associate, Tableau Desktop Specialist).
  • Familiarity with cloud analytics environments (AWS Redshift, Google BigQuery, Snowflake).
  • Knowledge of statistical methods and basic predictive modeling techniques.

What We Offer

  1. Targeted Placement: Direct marketing to our network of hiring managers in the Data, Technology, and Business Analytics sectors.
  2. Technical Resume Rebuild: Optimization of your profile to highlight data analytics tools, SQL proficiency, and business impact.
  3. Interview Coaching: Guidance on behavioral questions, SQL technical assessments, and data case studies.

Ready to Take the Next Step?

Email your updated resume to: yashwanth.phani@maximatek.com