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

Harris | Oakmark

Data Analyst, Data Ops

Chicago, IL · On-site

... SQL and Python • Experience working with large datasets and using analytical tools to summarize, interpret, and deliver business value • Demonstrated ability to analyze data issues, identify root ...

Zynga

Data Analyst

Chicago, IL

$77K - $114K/yr

Zynga's Data Science and Analytics team uses our unique and expansive data to model and predict ... Fluent in SQL; Intermediate experience with programming in Python * Adept in at least one ...

Prophecy Technologies

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Contract Data Engineer with expertise in ETL development, Python, SQL, and cloud-based data processing, responsible for building and managing scalable data pipelines using Databricks, AWS, and modern ...

World's Finest Chocolate

Sales Data Analyst

Chicago, IL · On-site

$105K - $115K/yr

Automate data pipelines using Alteryx, Python, or native connector tools. * Utilize SQL to query ... Lead analytics-driven projects (e.g., new item launch tracking, void closure initiatives ...

TransUnion

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

Proven experience with tools such as SQL, R, Python, Mongo DB and BigQuery * Sufficient ability translating technical terminology for non technical stakeholders * Experience leading data science ...

Harris Associates

Data Analyst, Data Ops

Chicago, IL

Advanced proficiency with SQL and Python * Experience working with large datasets and using analytical tools to summarize, interpret, and deliver business value * Demonstrated ability to analyze data ...

AllSTEM Connections

Data Analyst

Chicago, IL · On-site

$187K/yr

Senior Data & Analytics Engineer (Enterprise Intelligence) Role Overview We are seeking a high ... Key Responsibilities • SQL Mastery: Design, optimize, and maintain complex SQL queries, views ...

Transunion

Senior Data Analyst

Chicago, IL · On-site

$90K - $150K/yr

Proven experience with tools such as SQL, R, Python, Mongo DB and BigQuery * Sufficient ability translating technical terminology for non technical stakeholders * Experience leading data science ...

Aivra Health LLC

Data Scientist

Chicago, IL · On-site

Data Scientist Location: New York, NY, USA (Hybrid/On-site/Remote) Job Type: Full-Time About the ... Excellent analytical and problem-solving skills. Preferred Skills * Python * SQL * Pandas * NumPy

IMC Trading

Senior Data Analyst - People Analytics

Chicago, IL · On-site

$88K - $111K/yr

They are seeking a Senior Data Analyst to join their Financial Planning & Analytics team, focusing ... SQL and Python to query large HR datasets, perform statistical analyses, and develop predictive ...

IMC

Senior Data Analyst - People Analytics

Chicago, IL · On-site

$88K - $111K/yr

Leverage SQL and Python to query large HR datasets, perform statistical analyses, and develop ... Present data, trends, and insights to both technical and non-technical audiences in clear, concise ...

IMC

Senior Data Analyst - People Analytics

Chicago, IL · On-site

$88K - $111K/yr

Leverage SQL and Python to query large HR datasets, perform statistical analyses, and develop ... Present data, trends, and insights to both technical and non-technical audiences in clear, concise ...

Zynga, Inc.

Data Analyst

Chicago, IL

$77K - $114K/yr

Zynga's Data Science and Analytics team uses our unique and expansive data to model and predict ... Fluent in SQL; Intermediate experience with programming in Python * Adept in at least one ...

CYNET SYSTEMS

Senior Data Analyst

Lake Zurich, IL · On-site

$38 - $43/hr

Working SQL knowledge and experience working with relational databases, query authoring (SQL) as ... Comfortable learning and utilizing new tools (Python, Power BI, Qlik etc.). * Data governance ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Lombard, IL

Data Analyst Python Sql information

See Lombard, IL salary details

$33.5K

$81.3K

$133.8K

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

As of Aug 6, 2026, the average yearly pay for data analyst python sql in Lombard, IL is $81,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $95,500.00 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 job categories do people searching Data Analyst Python Sql jobs in Lombard, IL look for? The top searched job categories for Data Analyst Python Sql jobs in Lombard, IL are:
What cities near Lombard, IL are hiring for Data Analyst Python Sql jobs? Cities near Lombard, IL with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you

Data Analyst, Data Ops

Harris | Oakmark

Chicago, IL • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Harris is a company that values diversity and collaboration, seeking dynamic candidates for their Data Analyst, Data Ops role. The Data Analyst will ensure the accurate and timely delivery of data and analytics solutions, partnering cross-functionally to enhance data reporting and workflow automation solutions.
Responsibilities:
• Partner with data consumers to understand data needs and ensure accuracy, reliability, and scalability of data and reporting outputs
• Design, develop, and maintain sophisticated data, reporting, and workflow automation solutions
• Execute high-impact, cross-functional data initiatives from requirements through delivery
• Gain deep expertise in firm-wide business processes and translate operational needs into scalable solutions
• Lead BI, reporting, and self-service analytics initiatives by ensuring consistent, well-modeled, and well-documented data‑service analytics initiatives by ensuring consistent, well‑modeled, and well‑documented data
• Champion enterprise data governance by upholding and evolving data standards, definitions, and stewardship practices
• Contribute to the design and documentation of standard operating procedures, data controls, and issue management processes
• Ensure data processes align with operational risk, audit, and regulatory expectations
• Participate in firm-wide initiatives such as system implementations and data integrations
• Drive agile planning, backlog refinement, and prioritization of Data Ops initiatives
• Foster strong cross-functional relationships and promote a culture of collaboration, accountability and continuous improvement
Qualifications:
Required:
• Bachelor’s degree in Data Analytics, Engineering, Computer Science, Business, or a related field
• 7-10 years of experience in investment management, financial services, or a data-intensive operations environment
• Experience with cloud platforms (Snowflake, Azure), data quality tools, data catalogs, and BI platforms (PowerBI, Tableau)
• Advanced proficiency with SQL and Python
• Experience working with large datasets and using analytical tools to summarize, interpret, and deliver business value
• Demonstrated ability to analyze data issues, identify root causes, and drive cross‑functional resolution
• Exceptional attention to detail, initiative, and adaptability, with a proactive approach to identifying data anomalies, process gaps, and improvement opportunities
• Strong communication and presentation skills, with the ability to explain complex data concepts to non-technical stakeholders and present findings and recommendations to senior leadership
• Demonstrated proficiency with Agile methodology and project management practices
Preferred:
• Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus
Company:
Important disclosures: . Founded in 1976, the company is headquartered in Chicago, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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