Senior Data Analyst – People Analytics

IMC•Chicago, IL

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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
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)
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
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