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Senior Data Analyst Developer Jobs in Chicago, IL

Senior Data Analyst - People Analytics

Chicago, IL ยท On-site

$93K - $118K/yr

As a Senior Data Analyst , you will join our Financial Planning & Analytics (FP&A) team and partner ... BI Development & Data Engineering * Design, develop, and maintain dashboards and reports for HR ...

Senior Data Engineer

Chicago, IL ยท On-site

$109K - $148K/yr

Looking for a Senior Data Engineer to be part of our Engineering Team. As a Senior Data Engineer ... Help our analysts and engineers build and optimize data pipelines to understand our large and ever ...

Reporting to the Senior Director of Business Process and Data Ops, the ideal candidate combines ... Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field ...

Senior Data Engineer

Chicago, IL ยท On-site

$109K - $148K/yr

Senior Data Engineer External name : Senior Data Engineer Established in 2021, Independence Pet ... IDEA (IPH Data & Enterprise Analytics) is IPH's enterprise data organization responsible for ...

Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...

Showing results 41-60

Senior Data Analyst Developer information

See Chicago, IL salary details

$56.7K

$102.2K

$139.6K

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

As of Aug 7, 2026, the average yearly pay for senior data analyst developer in Chicago, IL is $102,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $111,800.00 per year, depending on experience, location, and employer.

How much is a senior data analyst developer paid?

A senior data analyst developer typically earns between $80,000 and $120,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, or R, and may hold certifications like Certified Analytics Professional (CAP). Compensation can vary based on company size and complexity of projects.

What is the difference between Senior Data Analyst Developer vs Data Engineer?

AspectSenior Data Analyst DeveloperData Engineer
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often certifications in SQL, Python, or data analysis toolsBachelor's or Master's in Computer Science, Software Engineering, or related fields; certifications in cloud platforms, SQL, or data pipeline tools
Work EnvironmentCollaborates with data analysts, business teams, and developers to analyze and develop data solutionsBuilds and maintains data infrastructure, pipelines, and architecture for data storage and processing
Industry UsageCommonly employed in finance, healthcare, and tech sectors for data analysis and reportingUsed across industries for designing scalable data systems and managing big data infrastructure

While both roles involve working with data, the Senior Data Analyst Developer focuses on analyzing data and developing data-driven applications, whereas Data Engineers primarily build and maintain the infrastructure that enables data analysis and storage.

How does a senior data analyst developer typically collaborate with cross-functional teams?

As a Senior Data Analyst Developer, you'll frequently work alongside data engineers, business analysts, product managers, and stakeholders from non-technical departments. Collaboration often involves translating business requirements into analytical solutions, sharing insights through dashboards or reports, and providing technical guidance to less experienced team members. Effective communication and a proactive approach to gathering requirements and sharing feedback are key to ensuring that data-driven solutions align with organizational goals. You may also participate in code reviews, data architecture discussions, and project planning sessions to ensure seamless integration of analytics across the company.

What does a senior data analyst developer do?

A Senior Data Analyst Developer is responsible for analyzing complex data sets, designing and developing data models, and creating reports or dashboards to help organizations make data-driven decisions. They often work closely with stakeholders to understand business needs, translate requirements into technical solutions, and optimize data workflows. Additionally, they may mentor junior analysts, ensure data quality, and utilize advanced programming or scripting skills to automate data processes.

What are the key skills and qualifications needed to thrive as a senior data analyst developer?

To thrive as a Senior Data Analyst Developer, you need advanced skills in data analysis, programming (such as Python or SQL), and a strong background in statistics or computer science, often supported by a relevant degree. Experience with business intelligence tools (like Tableau or Power BI), data warehousing systems, and possibly certifications in data analytics or cloud platforms is highly valued. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital to accurately interpret complex data, derive actionable insights, and effectively communicate findings to stakeholders, driving better business decisions.
What are the most commonly searched types of Data Analyst Developer jobs in Chicago, IL? The most popular types of Data Analyst Developer jobs in Chicago, IL are:
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Senior Data Analyst - People Analytics

IMC

Chicago, IL โ€ข On-site

$93K - $118K/yr

Full-time

Re-posted 11 days ago


Job description

As a Senior Data Analyst, you will join our Financial Planning & Analytics (FP&A) team and partner closely with HR, Finance and Talent Acquisition stakeholders to deliver data analysis and reporting that drives people-related decisions across the organization.

This is a hands-on, technical role. You will spend most of your time building dashboards, writing code, engineering data pipelines, and translating stakeholder requirements into production-ready analytics solutions. You will also serve as a key analytical partner to HR leadership - providing actionable insights on workforce trends, talent acquisition, compensation, employee engagement, and organizational effectiveness. The ideal candidate is a strong data analyst who is equally comfortable working with HR and financial data, can operate independently, and thrives in a fast-paced environment with extensive ad-hoc reporting requirements.

Your Core Responsibilities:ย 

  • BI Development & Data Engineering
    • Design, develop, and maintain dashboards and reports for HR, Talent Acquisition, and FP&A stakeholders using Qlik or similar BI tools (Tableau, Power BI)
    • 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 delivery cycle for analytics solutions: requirements gathering, design, development, testing, and deployment to production
    • Extend and optimize the analytics database to support new data sources and evolving reporting needs
    • Ensure data quality, consistency, and reliability across all pipelines and reporting assets
    • Build and automate reporting workflows to reduce manual effort and improve scalability
  • HR Reporting & Analytics
    • Develop and maintain standard HR metrics and recurring reports covering headcount, attrition, diversity & inclusion, compensation equity, and employee engagement
    • Build and support recruitment dashboards to track recruitment-funnel progress, pipeline characteristics, and time-to-fill metrics
    • Partner with HR Business Partners (HRBPs) to translate data requests into clear reports and visualizations
    • Conduct ad hoc analyses on people data to support HR and business decision-making
    • Leverage SQL and Python to query large HR datasets, perform statistical analyses, and develop predictive models (e.g., attrition risk, flight risk scoring)
  • FP&A & Workforce Planning Support
    • Support FTE forecasting and headcount budgeting processes by building and maintaining models and reports in partnership with Finance and HR/Recruitment teams
    • Contribute to annual HR planning cycles, including headcount forecasting, workforce cost modeling, and scenario analysis
    • Track and manage FTE movement against budget
    • Analyze workforce trends to identify patterns and risk areas relevant to financial planning
  • Stakeholder Partnership & Communication
    • Act as a trusted analytical advisor to HR and Finance to understand their needs and proactively surface findings
    • Present data, trends, and insights to both technical and non-technical audiences in clear, concise formats
    • Collaborate with other BI Developers and Engineers within BP&A to maintain shared data standards, governance practices, and documentation
    • Demonstrate curiosity in understanding business context, using that understanding to deliver solutions that balance standardization with practical requirements

Your Skills and Experience:ย 

  • 5+ years of experience as a Data Analyst, BI Developer, Financial Analyst, or similar analytics role
  • Demonstrated proficiency in Python and SQL, including writing clean, production-ready code; experience working with large datasets
  • Proven experience building reporting and dashboard solutions in Qlik, Tableau, Power BI, or a comparable BI tool
  • Demonstrated experience developing and maintaining ETL pipelines and data architecture
  • Working knowledge of at least one HRIS platform (Workday, SAP SuccessFactors, Oracle, ADP, or equivalent)
  • Excellent communication and interpersonal skills; ability to work directly with non-technical stakeholders and present findings clearly
  • Self-driven and comfortable working independently in a dynamic environment with shifting priorities and heavy ad-hoc reporting needs
  • Familiarity with data privacy regulations as they apply to employee and people data
  • Bachelor's degree in Computer Science, Finance, Statistics, Information Systems or other quantitative field
  • Exposure to FP&A processes such as headcount budgeting, FTE forecasting, or workforce cost modeling preferred
  • Experience working with HR data including HRIS, ATS, compensation, and headcount data is a plus
  • Familiarity with HR metrics frameworks, people analytics best practices, and DEI reporting preferred

Please note that immigration sponsorship is not offered for this specific opening.