Data Analyst, Data Ops
Chicago, IL · On-site
... 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 ...
Data Analyst, Data Ops
Chicago, IL · On-site
... 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 ...
Data Analyst, Power BI Dashboards and Visualization Tools Experience Required - Work From Home
Chicago, IL · On-site +1
Chicago IL Jobs, Data Analyst, Power BI Dashboards, Visualization Tools, Python Programming, Data Analysis, Business Intelligence, DAX, SQL, Microsoft Power Query, Excel, Microsoft Power BI ...
Data Analyst, Power BI Dashboards and Visualization Tools Experience Required - Work From Home
Chicago, IL · On-site +1
Chicago IL Jobs, Data Analyst, Power BI Dashboards, Visualization Tools, Python Programming, Data Analysis, Business Intelligence, DAX, SQL, Microsoft Power Query, Excel, Microsoft Power BI ...
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 ...
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 ...
Business Data Analyst
$6.1K - $8.7K/mo
... Python, R and Scala. * Requires one (1) year of administrative experience in a data analytics ... specialist role in a public or business organization. Minimum Qualifications * Requires knowledge ...
Business Data Analyst
$6.1K - $8.7K/mo
... Python, R and Scala. * Requires one (1) year of administrative experience in a data analytics ... specialist role in a public or business organization. Minimum Qualifications * Requires knowledge ...
Actuarial Data Analyst
Chicago, IL · Hybrid
$70K - $75K/yr
- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... Python, PySpark, SQL, Dataflow gen 2, Pipelines, Apache Spark jobs, One Lake, Power BI, Data agents ...
Actuarial Data Analyst
Chicago, IL · Hybrid
$70K - $75K/yr
- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... Python, PySpark, SQL, Dataflow gen 2, Pipelines, Apache Spark jobs, One Lake, Power BI, Data agents ...
Business Data Analyst
Chicago, IL · On-site
$6.1K/mo
... Python, R and Scala. * Requires one (1) year of administrative experience in a data analytics ... specialist role in a public or business organization. Minimum Qualifications * Requires knowledge ...
Business Data Analyst
Chicago, IL · On-site
$6.1K/mo
... Python, R and Scala. * Requires one (1) year of administrative experience in a data analytics ... specialist role in a public or business organization. Minimum Qualifications * Requires knowledge ...
Business Data Analyst
$6.1K - $8.7K/mo
... Python, R and Scala. * Requires one (1) year of administrative experience in a data analytics ... specialist role in a public or business organization. Minimum Qualifications * Requires knowledge ...
Business Data Analyst
$6.1K - $8.7K/mo
... Python, R and Scala. * Requires one (1) year of administrative experience in a data analytics ... specialist role in a public or business organization. Minimum Qualifications * Requires knowledge ...
Actuarial Data Analyst
Chicago, IL · On-site
$70K - $75K/yr
The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... Python, PySpark, SQL, Dataflow gen 2, Pipelines, Apache Spark jobs, One Lake, Power BI, Data agents ...
Actuarial Data Analyst
Chicago, IL · On-site
$70K - $75K/yr
The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... Python, PySpark, SQL, Dataflow gen 2, Pipelines, Apache Spark jobs, One Lake, Power BI, Data agents ...
About the Role We're looking for a Data Analyst Intern to support key initiatives across revenue cycle operations, reporting, and analytics. This is a hands-on opportunity to work with real health ...
About the Role We're looking for a Data Analyst Intern to support key initiatives across revenue cycle operations, reporting, and analytics. This is a hands-on opportunity to work with real health ...
About the Role We're looking for a Data Analyst Intern to support key initiatives across revenue cycle operations, reporting, and analytics. This is a hands-on opportunity to work with real health ...
About the Role We're looking for a Data Analyst Intern to support key initiatives across revenue cycle operations, reporting, and analytics. This is a hands-on opportunity to work with real health ...
About the Role We're looking for a Data Analyst Intern to support key initiatives across revenue cycle operations, reporting, and analytics. This is a hands-on opportunity to work with real health ...
Quick apply
About the Role We're looking for a Data Analyst Intern to support key initiatives across revenue cycle operations, reporting, and analytics. This is a hands-on opportunity to work with real health ...
Senior Data Analyst
$90K - $150K/yr
Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB, BigQuery * Provide analytic insights to large data set that can help impact the quality of our data
Senior Data Analyst
$90K - $150K/yr
Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB, BigQuery * Provide analytic insights to large data set that can help impact the quality of our data
Senior Data Analyst
$88K - $111K/yr
Foundational programming skills; experience in leveraging statistical language such as R or Python ... You will support the writing of programs for data extraction, segmentation and statistical analysis ...
Senior Data Analyst
$88K - $111K/yr
Foundational programming skills; experience in leveraging statistical language such as R or Python ... You will support the writing of programs for data extraction, segmentation and statistical analysis ...
Senior Data Analyst
$88K - $111K/yr
Foundational programming skills; experience in leveraging statistical language such as R or Python ... You will support the writing of programs for data extraction, segmentation and statistical analysis ...
Senior Data Analyst
$88K - $111K/yr
Foundational programming skills; experience in leveraging statistical language such as R or Python ... You will support the writing of programs for data extraction, segmentation and statistical analysis ...
Senior Data Analyst
Chicago, IL · On-site
$90K - $150K/yr
Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB, BigQuery * Provide analytic insights to large data set that can help impact the quality of our data
Senior Data Analyst
Chicago, IL · On-site
$90K - $150K/yr
Utilize tools to query, extract and transform large datasets using SQL, R, Python, Mongo DB, BigQuery * Provide analytic insights to large data set that can help impact the quality of our data
Senior Data Analyst
Chicago, IL · On-site
$88K - $111K/yr
Foundational programming skills; experience in leveraging statistical language such as R or Python ... You will support the writing of programs for data extraction, segmentation and statistical analysis ...
Senior Data Analyst
Chicago, IL · On-site
$88K - $111K/yr
Foundational programming skills; experience in leveraging statistical language such as R or Python ... You will support the writing of programs for data extraction, segmentation and statistical analysis ...
Financial Data Analyst
Chicago, IL · On-site
Future Financial Data Analyst Opportunity with EquipmentShare! EquipmentShare is accepting ... Knowledge of an analytical language like Python, R, SAS, SPSS, etc. preferred EquipmentShare is ...
Financial Data Analyst
Chicago, IL · On-site
Future Financial Data Analyst Opportunity with EquipmentShare! EquipmentShare is accepting ... Knowledge of an analytical language like Python, R, SAS, SPSS, etc. preferred EquipmentShare is ...
Senior Data Analyst
$88K - $111K/yr
Foundational programming skills; experience in leveraging statistical language such as R or Python ... You will support the writing of programs for data extraction, segmentation and statistical analysis ...
Senior Data Analyst
$88K - $111K/yr
Foundational programming skills; experience in leveraging statistical language such as R or Python ... You will support the writing of programs for data extraction, segmentation and statistical analysis ...
Senior Data Analyst - People Analytics
Chicago, IL · On-site
$88K - $111K/yr
Build and maintain Python-based ETL pipelines to extract, transform, and load data from HRIS, ATS, finance systems, and other internal sources into the analytics database * Own the full product ...
Senior Data Analyst - People Analytics
Chicago, IL · On-site
$88K - $111K/yr
Build and maintain Python-based ETL pipelines to extract, transform, and load data from HRIS, ATS, finance systems, and other internal sources into the analytics database * Own the full product ...
Senior Data Analyst
Chicago, IL · On-site
$76K - $100K/yr
... Python, R). • Familiarity with data warehousing and ETL processes. • Strong analytical and problem-solving abilities. • Ability to work independently and as part of a team. • Ability to ...
Senior Data Analyst
Chicago, IL · On-site
$76K - $100K/yr
... Python, R). • Familiarity with data warehousing and ETL processes. • Strong analytical and problem-solving abilities. • Ability to work independently and as part of a team. • Ability to ...
Intern Python Data Analyst information
What does an Intern Python Data Analyst do?
An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.
What is the difference between Intern Python Data Analyst vs Intern Data Scientist?
| Aspect | Intern Python Data Analyst | Intern Data Scientist |
|---|---|---|
| Required Skills | Python, SQL, Excel, Data Visualization | Python, R, Machine Learning, Statistical Analysis |
| Work Environment | Data analysis, reporting, dashboards | Model development, predictive analytics, research |
| Industry Usage | Business intelligence, finance, marketing | Tech, healthcare, research institutions |
Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.
What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?
As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.
What are the key skills and qualifications needed to thrive as an Intern Python Data Analyst, and why are they important?
To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.
What are the most commonly searched types of Python Data Analyst jobs in Illinois? The most popular types of Python Data Analyst jobs in Illinois are:
Full-time
Posted 10 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: 𝐏𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 𝐡𝐨𝐥𝐝𝐢𝐧𝐠𝐬 𝐚𝐫𝐞 𝐬𝐮𝐛𝐣𝐞𝐜𝐭 𝐭𝐨 𝐜𝐡𝐚𝐧𝐠𝐞 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐧𝐨𝐭𝐢𝐜𝐞 𝐚𝐧𝐝 𝐚𝐫𝐞 𝐧𝐨𝐭 𝐢𝐧𝐭𝐞𝐧𝐝𝐞𝐝 𝐚𝐬 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬 𝐨𝐟 𝐢𝐧𝐝𝐢𝐯𝐢𝐝𝐮𝐚𝐥 𝐬𝐭𝐨𝐜𝐤𝐬 𝐧𝐨𝐫 𝐝𝐨𝐞𝐬 𝐢𝐭 𝐜𝐨𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐞 𝐢𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐚𝐝𝐯𝐢𝐜𝐞. Founded in 1976, the company is headquartered in Chicago, USA, with a team of 51-200 employees. The company is currently Growth Stage.
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: 𝐏𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 𝐡𝐨𝐥𝐝𝐢𝐧𝐠𝐬 𝐚𝐫𝐞 𝐬𝐮𝐛𝐣𝐞𝐜𝐭 𝐭𝐨 𝐜𝐡𝐚𝐧𝐠𝐞 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐧𝐨𝐭𝐢𝐜𝐞 𝐚𝐧𝐝 𝐚𝐫𝐞 𝐧𝐨𝐭 𝐢𝐧𝐭𝐞𝐧𝐝𝐞𝐝 𝐚𝐬 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬 𝐨𝐟 𝐢𝐧𝐝𝐢𝐯𝐢𝐝𝐮𝐚𝐥 𝐬𝐭𝐨𝐜𝐤𝐬 𝐧𝐨𝐫 𝐝𝐨𝐞𝐬 𝐢𝐭 𝐜𝐨𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐞 𝐢𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐚𝐝𝐯𝐢𝐜𝐞. Founded in 1976, the company is headquartered in Chicago, USA, with a team of 51-200 employees. The company is currently Growth Stage.