... Python to extract, manipulate, integrate, and analyze large datasets. • Develop a deep ... Engineering, or another related field with significant analytical coursework • 5+ years of ...
... Python to extract, manipulate, integrate, and analyze large datasets. • Develop a deep ... Engineering, or another related field with significant analytical coursework • 5+ years of ...
... Python to extract, manipulate, integrate, and analyze large datasets. • Develop a deep ... Engineering, or another related field with significant analytical coursework • 5+ years of ...
... Python to extract, manipulate, integrate, and analyze large datasets. • Develop a deep ... Engineering, or another related field with significant analytical coursework • 5+ years of ...
Senior Data Analyst
Chicago, IL · On-site
$88K - $111K/yr
... programming language (e.g., Python, R). • Familiarity with data warehousing and ETL processes ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...
Senior Data Analyst
Chicago, IL · On-site
$88K - $111K/yr
... programming language (e.g., Python, R). • Familiarity with data warehousing and ETL processes ... The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS ...
Temporary Python Programmer information
See Lemont, IL salary details
$40.95 - $44.83
1% of jobs
$44.83 - $48.71
1% of jobs
$48.71 - $52.58
1% of jobs
$52.58 - $56.46
2% of jobs
$56.46 - $60.34
10% of jobs
$63.17 is the 25th percentile. Wages below this are outliers.
$60.34 - $64.21
14% of jobs
$64.21 - $68.09
20% of jobs
The median wage is $68.26 / hr.
$68.09 - $71.97
24% of jobs
$72.94 is the 75th percentile. Wages above this are outliers.
$71.97 - $75.85
6% of jobs
$75.85 - $79.72
5% of jobs
$79.72 - $83.60
15% of jobs
$40
$68
$83
How much do temporary python programmer jobs pay per hour?
As of Jun 18, 2026, the average hourly pay for temporary python programmer in Lemont, IL is $68.65, according to ZipRecruiter salary data. Most workers in this role earn between $62.98 and $72.69 per hour, depending on experience, location, and employer.
What is the difference between Temporary Python Programmer vs Python Developer?
| Aspect | Temporary Python Programmer | Python Developer |
|---|---|---|
| Credentials | Typically requires basic Python knowledge, possibly some certifications | Requires in-depth Python skills, often with certifications or experience |
| Work Environment | Contract-based, short-term projects, often freelance or temp agencies | Full-time or long-term employment within companies or teams |
| Industry Usage | Common in consulting, project-based work, or startups | Used across industries for product development, data analysis, and software solutions |
The main difference between a Temporary Python Programmer and a Python Developer lies in the employment type and project duration. Temporary Python Programmers are usually hired for short-term projects or specific tasks, often through agencies or freelance platforms. Python Developers tend to work in more permanent roles, focusing on building and maintaining software solutions over time. Both roles require Python skills, but the depth of experience and scope of work differ.
What are popular job titles related to Temporary Python Programmer jobs in Lemont, IL? For Temporary Python Programmer jobs in Lemont, IL, the most frequently searched job titles are:
What cities near Lemont, IL are hiring for Temporary Python Programmer jobs? Cities near Lemont, IL with the most Temporary Python Programmer job openings:
Full-time
Posted 20 days ago
Job description
Job Summary:
Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. The Lead Decision Science Analyst translates data into strategic insights that directly influence product, marketing, and business decisions, focusing on causal inference, experimentation, and deep exploratory analytics.
Responsibilities:
• Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.
• Conduct deep exploratory, diagnostic, and causal analyses to understand drivers of behavior, identify levers for growth, and quantify the business impact of initiatives
• Design, analyze, and interpret A/B tests and other causal inference approaches; ensure test validity and clear readouts.
• Develop, measure, and monitor product or customer KPIs in collaboration with product managers and finance partners.
• Identify leading indicators, behavioral trends, and segmentation opportunities to guide strategy.
• Translate technical results into clear recommendations for senior stakeholders using verbal and written analytic insights, compelling visualizations, and data-driven recommendations.
• Communicate uncertainty, assumptions, tradeoffs, and limitations to non‑technical stakeholders.
• Utilize SQL and Python to extract, manipulate, integrate, and analyze large datasets.
• Develop a deep understanding of relevant data from various data platforms.
• Translate complex business requirements into analytical frameworks.
• Ensure data accuracy and integrity in all analytics and reporting.
• Provide guidance to associate and senior analysts with analytics best practices, experimental design, and statistical rigor.
• Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
• Protect Chamberlain Group’s reputation by keeping information confidential
• Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies.
• Contribute to the team effort by accomplishing related results and participating on projects as needed.
Qualifications:
Required:
• Bachelor’s degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or another related field with significant analytical coursework
• 5+ years of relevant work experience in an analytics role, preferably in product, marketing, or growth analytics
• 2+ years of experience building dashboards and reports in Power BI, Tableau, or other visualization tools
• 2+ years applying experimentation and causal inference methods (A/B tests, quasi‑experiments) in product or marketing contexts.
• Ability to deal with ambiguity and make quality decisions in a dynamic, fast-paced environment.
• Ability to effectively lead projects from conception to conclusion, both independently and in a team environment (including working with both internal and external business partners)
• Exceptional SQL skills with a strong track record of working with complex datasets, including data extraction and manipulation.
• Strong understanding of business processes and strategic planning
• Strong verbal and written communication and presentation skills, with the ability to translate complex concepts into actionable business insights.
• Proven track record of leading projects and cross-functional teams
• Strong problem-solving skills and the ability to think analytically.
• Ability to work independently and collaboratively in a fast-paced environment.
Preferred:
• MBA or Master’s degree in a related field
• Experience with Azure (or other cloud environments) and Databricks Understanding of data warehouse/data modeling concepts and procedures
• Experience creating calculated metrics, managing and blending data models within Power BI
• Experience with IoT, SaaS, and/or intelligent consumer products & services
• Experience working with customer-facing digital experiences, including end-to-end customer acquisition and engagement processes within mobile applications or parallel platforms.
• Experience with Salesforce, SAP, and CDP platforms such as Tealium
• Experience with Project Management/Tracking tools such as Jira
• Experience building and creating web-based data visualizations.
• Experience creating temporary semantic data layers that support organizational self-service analytics within Azure Cloud architecture.
• Understanding of data warehouse/data modeling concepts and procedures
• Strong understanding of financial concepts and analytics
• Working with a software/technology organization
Company:
Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Founded in 1906, the company is headquartered in Elmhurst, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. The Lead Decision Science Analyst translates data into strategic insights that directly influence product, marketing, and business decisions, focusing on causal inference, experimentation, and deep exploratory analytics.
Responsibilities:
• Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.
• Conduct deep exploratory, diagnostic, and causal analyses to understand drivers of behavior, identify levers for growth, and quantify the business impact of initiatives
• Design, analyze, and interpret A/B tests and other causal inference approaches; ensure test validity and clear readouts.
• Develop, measure, and monitor product or customer KPIs in collaboration with product managers and finance partners.
• Identify leading indicators, behavioral trends, and segmentation opportunities to guide strategy.
• Translate technical results into clear recommendations for senior stakeholders using verbal and written analytic insights, compelling visualizations, and data-driven recommendations.
• Communicate uncertainty, assumptions, tradeoffs, and limitations to non‑technical stakeholders.
• Utilize SQL and Python to extract, manipulate, integrate, and analyze large datasets.
• Develop a deep understanding of relevant data from various data platforms.
• Translate complex business requirements into analytical frameworks.
• Ensure data accuracy and integrity in all analytics and reporting.
• Provide guidance to associate and senior analysts with analytics best practices, experimental design, and statistical rigor.
• Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
• Protect Chamberlain Group’s reputation by keeping information confidential
• Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies.
• Contribute to the team effort by accomplishing related results and participating on projects as needed.
Qualifications:
Required:
• Bachelor’s degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or another related field with significant analytical coursework
• 5+ years of relevant work experience in an analytics role, preferably in product, marketing, or growth analytics
• 2+ years of experience building dashboards and reports in Power BI, Tableau, or other visualization tools
• 2+ years applying experimentation and causal inference methods (A/B tests, quasi‑experiments) in product or marketing contexts.
• Ability to deal with ambiguity and make quality decisions in a dynamic, fast-paced environment.
• Ability to effectively lead projects from conception to conclusion, both independently and in a team environment (including working with both internal and external business partners)
• Exceptional SQL skills with a strong track record of working with complex datasets, including data extraction and manipulation.
• Strong understanding of business processes and strategic planning
• Strong verbal and written communication and presentation skills, with the ability to translate complex concepts into actionable business insights.
• Proven track record of leading projects and cross-functional teams
• Strong problem-solving skills and the ability to think analytically.
• Ability to work independently and collaboratively in a fast-paced environment.
Preferred:
• MBA or Master’s degree in a related field
• Experience with Azure (or other cloud environments) and Databricks Understanding of data warehouse/data modeling concepts and procedures
• Experience creating calculated metrics, managing and blending data models within Power BI
• Experience with IoT, SaaS, and/or intelligent consumer products & services
• Experience working with customer-facing digital experiences, including end-to-end customer acquisition and engagement processes within mobile applications or parallel platforms.
• Experience with Salesforce, SAP, and CDP platforms such as Tealium
• Experience with Project Management/Tracking tools such as Jira
• Experience building and creating web-based data visualizations.
• Experience creating temporary semantic data layers that support organizational self-service analytics within Azure Cloud architecture.
• Understanding of data warehouse/data modeling concepts and procedures
• Strong understanding of financial concepts and analytics
• Working with a software/technology organization
Company:
Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Founded in 1906, the company is headquartered in Elmhurst, USA, with a team of 5001-10000 employees. The company is currently Late Stage.