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Commission Python Data Analysis Jobs in Evergreen Park, IL

Python, including data analysis libraries * SQL for querying relational databases * Power BI for dashboard development and data visualization * Microsoft Excel (Advanced), including formulas, pivot ...

Data analysis tools like Excel and Python preferred. * Exposure to ETL tools, data warehouses, and APIs. * Data Skills: * Data profiling, quality assessment, and reconciliation break analysis. * Data ...

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

  • Medical

  • Life

  • Retirement

Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data ... For commission roles, the salary listed above represents BMO Financial Group's expected target for ...

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

  • Medical

  • Life

  • Retirement

Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data ... For commission roles, the salary listed above represents BMO Financial Group's expected target for ...

Data Engineer, Cumberland/FICCO

Chicago, IL · On-site

$118K - $141K/yr

... Python data science ecosystem • Strong understanding of option and future products and their ... analysis • An understanding of the financial data vendor landscape and product offerings • ...

Manager, Data & Analytics

Chicago, IL · Hybrid

$74K - $138K/yr

  • Medical

  • Life

  • Retirement

Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data ... For commission roles, the salary listed above represents BMO Financial Group's expected target for ...

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

  • Medical

  • Life

  • Retirement

Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data ... For commission roles, the salary listed above represents BMO Financial Group's expected target for ...

... Python for data analysis, and automation • Database and cloud platform fluency for data management (SQL, AWS) • Experience working with large and different datasets • Experience building ...

Data Scientist

Chicago, IL · On-site

$120 - $160/hr

Proven experience using Python for data analysis and modeling, including Jupyter Notebooks and common libraries and packages * Experience with version control systems such as Git * Experience with ...

New

Data Analyst

Chicago, IL · On-site

$85K - $110K/yr

... Python for data analysis, and automation • Database and cloud platform fluency for data management (SQL, AWS) • Experience working with large and different datasets • Experience building ...

Senior Data Analyst

Chicago, IL · On-site

$95K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Skilled in Python - for advanced analysis and automation, including building and running machine learning models. * Experience with data visualization tools (e.g., Looker, Omni, Sigma). * Strong ...

Lead Data Engineer

Chicago, IL · Remote

$105K - $139K/yr

Experience working in an Agile analytics environment where close collaboration with key stakeholders to address evolving requirements is the norm; * Expertise in SQL, Python, data modeling, and ...

Showing results 21-40

Commission Python Data Analysis information

What cities near Evergreen Park, IL are hiring for Commission Python Data Analysis jobs?

Cities near Evergreen Park, IL with the most Commission Python Data Analysis job openings:

Infographic showing various Commission Python Data Analysis job openings in Evergreen Park, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Data Analyst

Benda Infotech

Chicago, IL

$80K - $95K/yr

Full-time

Posted 8 days ago


Job description

Role Summary 

We are seeking a Data Analyst with strong analytical skills, attention to detail, and a problem‑solving mindset. This role will support business decision‑making by transforming raw data into actionable insights. The Data Analyst will work with large and complex data sets, develop reports and dashboards, and contribute to data quality, automation, and documentation initiatives across the Bank.

Key Responsibilities
  • Interpret and analyze structured data using industry best practices to support business and operational needs
  • Identify trends, patterns, and anomalies in complex data sets and clearly communicate findings to stakeholders
  • Extract, cleanse, validate, and transform data from primary and secondary data sources
  • Design, develop, and maintain business intelligence dashboards and recurring reports
  • Support the development and execution of data strategies that improve data quality, consistency, and usability
  • Collaborate with business, technology, and risk partners to ensure accurate and reliable reporting
  • Prepare and maintain technical documentation, data definitions, and process documentation
Qualifications & RequirementsMinimum Qualifications
  • 1–2 years of hands‑on experience in data analytics, reporting, or data automation
  • Experience preparing, blending, and analyzing data from multiple sources
  • Proficiency in:
    • Python, including data analysis libraries
    • SQL for querying relational databases
    • Power BI for dashboard development and data visualization
    • Microsoft Excel (Advanced), including formulas, pivot tables, and data modeling
  • Solid understanding of database concepts and data structures
  • Strong written and verbal communication skills, with the ability to translate analytical results into clear business insights
  • Demonstrated ability to manage multiple priorities, meet deadlines, and work effectively in a fast‑paced environment
     
Preferred Qualifications
  • Experience working in a banking or financial services environment, or in a highly regulated industry
  • Familiarity with data governance, data quality controls, or regulatory reporting concepts
  • Experience documenting data flows, business rules, and analytical methodologies
  • Exposure to automation or process improvement initiatives related to reporting or analytics

Ability to collaborate effectively with both technical and non‑technical stakeholders