Senior Data Analyst

Selby Jennings; Chicago (IL); On-site; USD 90,000 - 130,000; Full time

Job summary

Selby Jennings is seeking a Senior Data Analyst to join the FP&A team, partnering with HR, Finance and Talent Acquisition to deliver workforce insights. You will build dashboards, write code, and develop data pipelines to support strategic decisions across the business.

You will leverage Python, SQL, and BI tools to produce scalable analytics, while collaborating with HR leadership on headcount, compensation, engagement, and organizational performance metrics.

Qualifications

• 5+ years of data analytics, BI, or related roles.
• Strong Python and SQL skills with large datasets.
• Hands-on experience with Qlik, Tableau, or Power BI.
• Experience building ETL pipelines and data models.
• Familiarity with HR systems (Workday, SAP SuccessFactors, Oracle, ADP).
• Excellent communication with non-technical stakeholders.
• Self-starter capable of prioritising in a fast-paced environment.
• Understanding of employee data privacy requirements.

Responsibilities

• Create and maintain HR, TA, and FP&A dashboards.
• Develop Python-based ETL processes to consolidate data.
• Lead end-to-end analytics solution delivery from requirements to deployment.
• Partner with HR leadership to translate questions into reporting.
• Perform ad hoc analyses to support workforce decisions.
• Ensure data integrity across pipelines and outputs.

Skills

Python

SQL

Tableau

Power BI

Qlik

ETL pipelines

Data modeling

HR data

Education

Bachelor's degree in a quantitative field

Tools

Workday

SAP SuccessFactors

Oracle

ADP

Job description

As a Senior Data Analyst, you will join the Financial Planning & Analytics (FP&A) team and collaborate closely with HR, Finance, and Talent Acquisition partners. Your work will focus on delivering insights and reporting that guide workforce-related decisions across the business.

This role is highly technical and execution-focused. You will spend the majority of your time developing dashboards, writing code, building data pipelines, and turning business requirements into scalable analytics solutions. In addition, you will act as a key partner to HR leadership, providing insight into workforce dynamics such as hiring, retention, compensation, engagement, and organizational performance.

Success in this role requires strong analytical skills, comfort working across both HR and financial data, and the ability to operate independently in a fast-moving environment with frequent ad hoc requests.

Primary Responsibilities

Data & BI Development

• Create and maintain dashboards and reporting solutions for HR, Talent Acquisition, and FP&A using tools such as Qlik, Tableau, or Power BI
• Develop and manage Python-based ETL processes to consolidate data from HRIS, ATS, finance, and other internal systems
• Lead full lifecycle delivery of analytics solutions-from requirements gathering through deployment
• Expand and refine the analytics data environment to support evolving reporting needs
• Ensure data integrity and consistency across pipelines and reporting outputs
• Streamline and automate reporting processes to improve efficiency and scalability

HR Analytics

• Deliver core HR metrics and recurring reports, including headcount, attrition, DEI, compensation, and engagement
• Build and maintain recruiting dashboards to track pipeline health, conversion rates, and time-to-fill
• Partner with HR Business Partners to translate business questions into actionable reporting
• Perform ad hoc analyses to support HR initiatives and business decisions
• Use SQL and Python to analyze large datasets and develop models (e.g., attrition or retention risk)

Workforce Planning & FP&A Support

• Support headcount and FTE forecasting through model and report development in collaboration with Finance and HR teams
• Contribute to workforce planning cycles, including budgeting, cost modeling, and scenario analysis
• Monitor headcount changes against plan and budget
• Analyze workforce trends to identify risks and opportunities impacting financial performance

Stakeholder Engagement

• Act as a trusted partner to HR and Finance, proactively identifying insights and recommendations
• Communicate findings clearly to both technical and non-technical audiences
• Collaborate with BI and data teams to maintain consistent data standards and documentation
• Apply business context and critical thinking to deliver practical, high-impact solutions

Qualifications

• 5+ years of experience in data analytics, BI, financial analysis, or a related role
• Strong skills in Python and SQL, with experience working with large, complex datasets
• Hands-on experience with BI tools such as Qlik, Tableau, or Power BI
• Experience building and maintaining ETL pipelines and data models
• Familiarity with HR systems (e.g., Workday, SAP SuccessFactors, Oracle, ADP)
• Strong communication skills and ability to work with non-technical stakeholders
• Self-starter who can manage priorities independently in a fast-paced environment
• Understanding of data privacy requirements related to employee data
• Bachelor\'s degree in a quantitative field (e.g., Computer Science, Finance, Statistics, Information Systems)

Preferred:

• Exposure to FP&A processes such as workforce planning, budgeting, and forecasting
• Experience working with HR datasets (HRIS, ATS, compensation, headcount)
• Knowledge of HR analytics best practices, metrics frameworks, and DEI reporting