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Part Time Python Data Analyst Jobs in Illinois (NOW HIRING)

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Part Time Python Data Analyst information

What are the key skills and qualifications needed to thrive as a Part Time Python Data Analyst, and why are they important?

To thrive as a Part Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science, often supported by a relevant degree or coursework. Familiarity with data visualization tools (such as Tableau or matplotlib), SQL databases, and experience using data analysis libraries like pandas and NumPy are typically required. Attention to detail, problem-solving abilities, and effective communication help you interpret data and present insights clearly to stakeholders. These skills are crucial for translating complex data into actionable information, ensuring informed decision-making in a flexible, part-time role.

What are some common challenges faced by part-time Python Data Analysts, and how can they be addressed?

Part-time Python Data Analysts often face the challenge of managing their workload within limited hours, which can make it difficult to keep up with rapidly changing project requirements or tight deadlines. Effective time management and clear communication with team members are crucial to ensure priorities are understood and tasks are completed efficiently. Additionally, staying updated on the latest Python libraries and data analysis tools can help streamline workflows and improve productivity. Collaborating closely with full-time colleagues and leveraging project management tools can also help bridge gaps in team coordination.

What is a Part Time Python Data Analyst?

A Part Time Python Data Analyst is a professional who uses the Python programming language to analyze, interpret, and visualize data, typically while working less than full-time hours. They may clean and process datasets, generate reports, create data visualizations, and support business decision-making using Python libraries such as Pandas, NumPy, and Matplotlib. The part-time aspect allows flexibility, making this role suitable for students, freelancers, or individuals seeking work-life balance. These analysts often collaborate with teams to deliver actionable insights based on data trends and patterns.

What is the difference between Part Time Python Data Analyst vs Part Time R Data Analyst?

AspectPart Time Python Data AnalystPart Time R Data Analyst
Required SkillsPython, SQL, data visualization, basic statisticsR, SQL, data visualization, basic statistics
CertificationsPython certifications, data analysis coursesR certifications, data analysis courses
Work EnvironmentRemote or on-site, tech companies, consulting firmsRemote or on-site, research institutions, analytics firms
Industry UsageFinance, marketing, tech startupsHealthcare, academia, research organizations

Both roles involve data analysis with a focus on their respective programming languages. The main difference lies in the preferred tools and industry applications. Python Data Analysts often work in tech-driven environments, while R Data Analysts are common in research and healthcare sectors. Skills and certifications are similar, making them comparable roles for part-time data analysis positions.

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:
What are popular job titles related to Part Time Python Data Analyst jobs in Illinois? For Part Time Python Data Analyst jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Part Time Python Data Analyst jobs in Illinois look for? The top searched job categories for Part Time Python Data Analyst jobs in Illinois are:
What cities in Illinois are hiring for Part Time Python Data Analyst jobs? Cities in Illinois with the most Part Time Python Data Analyst job openings:
Senior Credit Risk Analyst

Senior Credit Risk Analyst

Alliant Credit Union

Chicago, IL • Hybrid

$84.20K - $131K/yr

Full-time, Part-time

Posted 21 days ago


Job description

In this hybrid role based at our Chicago Headquarters, you will develop and review credit policies and strategies as well as data and analytical frameworks for loan origination and loss forecasting. Review relevant data to identify the quantitative and qualitative factors driving the credit risk for consumer & mortgage loans. Perform evaluation, implementation and monitoring of third-party and in-house scoring solutions. Perform model and strategy testing and assist with audit/regulatory requests. Work cross-functionally with other teams such as Advanced Analytics, Lending, Loan Servicing, Marketing, Finance, and Data Service teams, preparing underwriting and account management presentations to management for review and implementation.

Essential Responsibilities

  • Analyze origination risk factors and recommend/implement improvements in areas such as underwriting criteria, lending policies and standards, and loan product pricing to increase loan volumes within the risk appetite.
  • Review and monitor credit risk for credit cards, and recommend/implement line management, pricing and authorization strategies.
  • Prepare data for third-party quarterly mortgage & consumer loan portfolio performance analysis.
  • Provide support and rule recommendations for loan origination system implementation and maintenance.
  • Provide data and analytics support to assess risk with respect to future new and enhanced lending products as well as potential loan trading transactions.
  • Assess analytics including but not limited to economic capital analysis, credit loss modeling and mitigation, CECL implementation.
  • Query the data warehouse and other databases with tools such as SAP Business Objects / Microsoft SQL Server Management Studio to extract, summarize, and save relevant data.
  • Drive improvements by utilizing statistical techniques in test set-up to more accurately assess effectiveness of proposed risk strategies.
  • Work with other teams such as Advanced Analytics to design and build predictive models in tools such as Python/R/SAS.
  • Evaluate, implement, and monitor third-party scoring solutions.
  • Prepare supporting information and present findings to management.
  • Generate periodic reports for audit and regulatory compliance and assist with ad hoc requests.
  • Help formulate and revise credit policies and procedures to address new regulations.

Education & Years of Experience

  • Minimum- 4 Year Bachelors Degree in Mathematics, Statistics, Quantitative Finance, Engineering, Computer Science or Related
  • Preferred - Graduate Degree in Mathematics, Statistics, Quantitative Finance, Engineering, Computer Science or Related
  • Minimum - 3 Years Experience in credit risk analytics within financial services

In Lieu of Education

  • 5 Years Experience in credit risk analytics within financial services

Compensation & Benefits:

Typical hiring range:‏‏‎ ‎ $84,200.00 to $131,000.00‎ Annually. Actual compensation will be determined using factors such as experience, skills & knowledge.

Benefits: Alliant provides a benefits package including health care, vision, dental, and 401k with employer match including:

  • Annual performance bonus
  • Work from home up to 3 days a week
  • Paid parental leave
  • Employee discount programs
  • Time off including paid personal and sick days
  • 11 paid holidays
  • Education reimbursement

*Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, or temporary employment.

Adhere to and ensure compliance of all business transactions with policy and process of the Bank Secrecy Act. Ensures compliance with all applicable state and federal laws, company procedures and policies. Maintains integrity and ethics in all actions and conversations with or regarding credit union members and their accounts; complies with Privacy Act directives.

The responsibilities listed do not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this position. Duties, responsibilities and activities may change at any time with or without notice.