Data Analysts in People Analytics drive the business by empowering HR, Recruiting, and business leaders to incorporate people insights into workforce and business decisions. The People Data Analyst is the link between the business and complex data requirements that cannot be accessed through self solve channels.
Requirements
- 4+ years of data analysis, quantitative/qualitative research, experience gathering and evaluating data and validating hypotheses
- 3+ years of experience working with SQL or relational database, data modeling, and advanced querying
- 3+ years of experience with data visualization tools (Tableau, Visier, MS PBI, Qlik, SAS VA, etc.)
- 3+ years of experience SQL and data pipeline development and automation
- 3+ years of experience with Python or R and developing solutions that scale
- 2+ years of dashboard development using advanced Tableau functionality (e.g. data blending)
Responsibilities
- create analysis with people data
- create dashboards for scaled solutions and efficient reporting
- develop materials for leaders of the company to drive strategy
- Leverage data analysis tools, such as Python, R, SQL, Tableau, and spreadsheets to develop models, understand trends, and extract insights
- Intake on business needs and apply contextual knowledge in order to scope data requests, synthesize insights, and recommend solutions to key business partners in collaboration with others
- Apply expertise in data analytics to identify business relevant insights and develop executive level presentations to influence people strategy
- Recognize patterns and changing requirements to identify opportunities to build new analytics and reporting capabilities to support program evaluation and operations
Other
- Act as an internal consultant and partner to HR, Recruiting, and business leaders and engage with the broader analytics community to deliver insights, research and scalable solutions
- Focus on impact and propose metrics to understand success of People initiatives
- Manage multiple concurrent projects that require inputs from cross-functional stakeholders while balancing impact on business needs
- Deliver analytical findings to company leadership
- Demonstrate judgment and discretion when dealing with highly sensitive people data
