Senior Data Analyst - Human Resources

The HR Data Analyst is responsible for managing and analyzing human resources data to support strategic decision-making and organizational planning. Key responsibilities include submitting and analyzing Children's National Hospitals HR Metrics, compiling data for Workforce Insight Survey's, and ensuring the accuracy of workforce management analytics. The role also involves building and maintaining Power BI dashboards for HR operational metrics and recruitment and retention analysis, as well as creating a comprehensive workforce metrics data glossary. Additionally, the HR Data Analyst partners with various teams to conduct in-depth analyses, identify operational efficiency metrics, and propose new metrics and external benchmarks.

Minimum Education

• Bachelor's Degree A Bachelor's degree in a quantitative or business field (e.g., Statistics, Mathematics, Engineering, Computer Science) (Required)

Minimum Work Experience

• Requires deep functional knowledge with 6+ years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. (Required)

Required Skills/Knowledge

• Experience with Big Data; Data Processing.
• Experience with Data Manipulation; Data Mining
• Experience with C# (Programing Language); Java (Programing Language); Programing Concepts; Programing Tools; Python (Programing Language); SQL (Programing Language)
• Experience with Agile Software Development

Optional:

• Experience in the healthcare field
• Experience with healthcare data policies
• Microsoft certifications in Azure
• Experience with Microsoft Fabric

Functional Accountabilities:
Core areas of responsibility that fall under this role include:

• Interprets and analyzes complex data from multiple sources, including patient, provider, encounters data, etc. Proactively identifies and assesses the business impact of trends.

• Develops, executes, maintains, and troubleshoots of complex scripts and reports developed using SQL, Microsoft Excel, or other analytics tools.

• Identifies and performs root-cause analysis of data irregularities and presents findings and proposed solutions to leadership and/or customers.

• Manages multiple complex and variable tasks and data review processes with no supervision within targeted timelines and provides leadership in a demanding, quick changing environment.

• Delivers business solution architecture and implementation validation.

• Engages in data profiling and source to target mapping.

• Works on complex data integration from disparate sources.

• Applies senior level expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic products.

• Supports multiple functions and levels of the organization and effectively both verbally and visually, communicates findings and insights to non-technical business partners.

• Engages with customers and business partners to gather requirements and validate results.

• Presents data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required.

• Performs other duties as assigned.

• Complies with all policies and standards.

To be successful at this role you will need:

• Seeks to acquire knowledge in area of specialty.

• Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions.

• Ability to work independently.

• Demonstrated analytical skills.

• Demonstrated project management skills.

• Demonstrates a high level of accuracy, even under pressure.

• Demonstrates excellent judgment and decision-making skills.

• Great verbal and written communication skills, communicate complex findings in a clear and understandable manner

• Great facilitation ability to host sessions and elicit ideas from others, understanding their issues and encourage group participation

• Attention to detail.

• Communicate complex findings in a clear and understandable manner

• Collaborate effectively with cross-functional teams

• Adapt to changing priorities and thrive in a dynamic environment