Chicago, IL 60603 The Senior Data Analyst will support HR reporting and analytics by analyzing employee and talent acquisition data, developing SQL queries and Power BI dashboards, and translating data insights into meaningful business outcomes, metrics, and KPIs. The role requires strong data analytics, statistical, data modeling, and interpersonal skills while collaborating with business and technical teams across multiple projects.
Job Responsibilities:
Analyze employee data and Talent Acquisition recruiting data to support HR reporting and analytics Develop and execute complex SQL queries to extract, transform, and analyze data Design, build, maintain, and deploy Power BI dashboards and reports Interpret and work with Python scripts for data analysis and reporting requirements Translate data insights into business outcomes, metrics, and key performance indicators Build, maintain, and deploy data pipelines to support reporting and analytics Apply statistical concepts and data modeling techniques to analyze business data Translate functional and process requirements into technical data solutions Communicate technical data concepts and outputs to business stakeholders Collaborate with cross-functional teams to understand business requirements and deliver analytical solutions Provide consultative support to stakeholders regarding data, reporting, and analytics needs Manage and prioritize multiple projects with varying timelines and business requirements Identify trends, patterns, and insights within HR and recruiting data Ensure data outputs and dashboards are accurate, reliable, and aligned with business objectives Support continuous improvement of HR reporting, analytics, and data processes Communicate findings and recommendations effectively through reports, dashboards, and presentations
Skills:
SQL Power BI Python Data Analytics Data Modeling Statistical Analysis Data Pipelines HR Analytics Employee Data Analysis Talent Acquisition Analytics Recruiting Data Dashboard Development KPI Development Business Intelligence Data Visualization Requirements Analysis Data Interpretation Business Process Analysis Cross-Functional Collaboration Consultative Skills Problem Solving Project Management Written and Verbal Communication Interpersonal Skills Education/Experience:
Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, Statistics, or a related field. 5-10 years of experience in data analytics, business analysis, or a related field