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 ...
Data Analyst, Data Ops
Chicago, IL · On-site
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 ...
Data Analyst, Data Ops
Chicago, IL · On-site
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 ...
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 ...
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 ...
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
$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
$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 ...
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
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
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 ...
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 ...
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
$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 - People Analytics
$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
$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) Corporate Data Analyst
Chicago, IL · On-site +1
$67K - $101K/yr
Applies basic development skills working with Python, SQL Queries, etc. to extract business ... Corporate Data Analyst: 1+ years' experience working with and providing data analytics, reporting ...
(Senior) Corporate Data Analyst
Chicago, IL · On-site +1
$67K - $101K/yr
Applies basic development skills working with Python, SQL Queries, etc. to extract business ... Corporate Data Analyst: 1+ years' experience working with and providing data analytics, reporting ...
Mid-Level Data Analyst
Chicago, IL · On-site
2 round interview both virtual • Collect, clean, and analyze technology data from various sources ... Sql, python must have * Databricks * 37.5 hrs weekly
Quick apply
Mid-Level Data Analyst
Chicago, IL · On-site
2 round interview both virtual • Collect, clean, and analyze technology data from various sources ... Sql, python must have * Databricks * 37.5 hrs weekly
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
Data Analyst, Data Ops
Chicago, IL · On-site
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 ...
Data Analyst, Data Ops
Chicago, IL · On-site
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 ...
Commission Python Data Analyst information
What are the key skills and qualifications needed to thrive as a Commission Python Data Analyst, and why are they important?
To thrive as a Commission Python Data Analyst, you need strong analytical skills, expertise in Python programming, and a solid understanding of statistics and data modeling, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (such as pandas and NumPy), visualization tools (like Matplotlib or Seaborn), and familiarity with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and present findings to stakeholders. These skills and qualities are essential for accurately analyzing commission-based data, driving informed decisions, and supporting business goals.
How does a Commission Python Data Analyst typically collaborate with sales or business teams to drive data-driven decision-making?
As a Commission Python Data Analyst, you will frequently work alongside sales or business development teams to analyze sales performance, identify trends, and develop actionable insights that can boost revenue. You’ll often be tasked with translating raw data into clear, concise reports or interactive dashboards tailored to non-technical stakeholders. Close collaboration is essential; expect to attend regular meetings, discuss data requirements, and provide ongoing support to help teams set and achieve their targets. Your ability to communicate complex findings in an accessible way directly impacts the business’s strategic decisions and your own commission potential.
What is a Commission Python Data Analyst?
A Commission Python Data Analyst is a data professional who specializes in analyzing and interpreting data using the Python programming language, often working on a commission or contract basis. They use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data, helping organizations make data-driven decisions. Their responsibilities may include creating reports, building predictive models, and automating data workflows. These analysts typically work across various industries and are valued for their ability to deliver insights quickly and efficiently.
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 12 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.