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Senior Python Data Analyst Jobs in Lake Forest, IL

National Association of REALTORS

Data Analyst

Chicago, IL · Hybrid

$75K - $95K/yr

Develop and maintain Python notebooks using SQL, Spark, and related technologies for data analysis, exploration, and reporting * Create dashboards that effectively communicate insights to business ...

Benda Infotech

Data Analyst

Chicago, IL · On-site

$80K - $95K/yr

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

blueStone

Sr. Data Analyst

Chicago, IL · Remote

$88K - $111K/yr

The Sr. Data Warehouse /Business Analyst will serve as a leader for Business Intelligence and work with vendors to implement BI solutions to meet their needs. This role is functional and technical ...

Inizio Evoke

Data Analyst

Chicago, IL

... • Use Python and modern AI-assisted workflows to rapidly prototype analyses • Identify ... and data visualizations tailored to all partners • Collaborate with strategists, creative ...

Inizio Evoke

Data Analyst

Chicago, IL · On-site

$85K - $110K/yr

... • Use Python and modern AI-assisted workflows to rapidly prototype analyses • Identify ... and data visualizations tailored to all partners • Collaborate with strategists, creative ...

Zynga, Inc.

Data Analyst

Chicago, IL · On-site

$77K - $114K/yr

Provide adhoc support to account managers and senior stakeholders in measuring the effectiveness of ... Fluent in SQL; Intermediate experience with programming in Python * Adept in at least one ...

Zynga

Data Analyst

Chicago, IL

$77K - $114K/yr

Provide adhoc support to account managers and senior stakeholders in measuring the effectiveness of ... Fluent in SQL; Intermediate experience with programming in Python * Adept in at least one ...

Saicon Consultants Inc.

Data Analyst

Rosemont, IL · On-site

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 ...

Wonder Group, INC

Senior Data Analyst

Chicago, IL

$149K - $157K/yr

Reporting to the Director of Finance Data & Systems, the Senior Data Analyst will be the backbone energizing the elevation of management financial reporting, accounting month-end close, and audit ...

Wonder Group, Inc.

Senior Data Analyst

Chicago, IL · On-site

$149K - $157K/yr

Reporting to the Director of Finance Data & Systems, the Senior Data Analyst will be the backbone energizing the elevation of management financial reporting, accounting month-end close, and audit ...

DriveWealth

Senior Data Analyst, RegTech

Chicago, IL · On-site

$88K - $111K/yr

We are seeking a Senior Data Analyst to focus on the creation, maintenance, and monitoring of ... Python (Jupyter Notebooks) * DBT * NoSQL and semi-structured data * Familiarity with Databricks ...

Wonder Group LLC

Senior Data Analyst

Chicago, IL

$149K - $157K/yr

About The Opportunity We are seeking a highly analytical and collaborative Senior Data Analyst to join our team. In this role, you will support the accounting and finance data needs across all Wonder ...

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All JobsPython Data Analyst JobsSenior Python Data Analyst JobsSenior Python Data Analyst Jobs in Lake Forest, IL

Senior Python Data Analyst information

See Lake Forest, IL salary details

$54.5K

$98.3K

$134.2K

How much do senior python data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior python data analyst in Lake Forest, IL is $98,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,200.00 and $107,400.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Data Analyst vs Data Scientist?

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

What job categories do people searching Senior Python Data Analyst jobs in Lake Forest, IL look for?

The top searched job categories for Senior Python Data Analyst jobs in Lake Forest, IL are:

What cities near Lake Forest, IL are hiring for Senior Python Data Analyst jobs?

Cities near Lake Forest, IL with the most Senior Python Data Analyst job openings:

Senior Python Data Analyst jobs near you
Infographic showing various Senior Python Data Analyst job openings in Lake Forest, IL as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, 2% Part Time, 1% Temporary, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $98,252 per year, or $47.2 per hour.

Data Analyst, Data Ops

Harris Associates

Chicago, IL

Full-time

Re-posted 11 days ago

Job description

The Data Ops team is responsible for delivering scalable data, reporting and operational analytics solutions that support decision-making across the firm. The team partners closely with stakeholders to enable trusted, well governed data that improves transparency, efficiency, and outcomes.

The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery of data and analytics solutions to support process efficiency and data-centric decision making. This role partners cross functionally to design, build and enhance data, reporting and workflow automation solutions. The Data Analyst supports enterprise analytics, BI, and self-service initiatives by ensuring data is consistently modeled, documented, governed and aligned with operational risk, audit, and regulatory expectations. Reporting to the Senior Director of Business Process and Data Ops, the ideal candidate combines strong analytical and problem-solving skills with an operational mindset, brings a solid understanding of investment management data domains and thrives in a collaborative, agile environment.

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 dataservice analytics initiatives by ensuring consistent, wellmodeled, and welldocumented 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:

  • Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field
  • 5+ 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 crossfunctional 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
  • Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus

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