Analyst, People Analytics

About the Role

Key Responsibilities

• Develop complex Tableau dashboards that leverage multiple data sources by running discovery sessions to gather client requirements and building visualizations to quickly identify gaps, strengths, and trends across time
• Partner with a data engineer by communicating and refining Tableau dashboard needs to ensure data sources are structured to support client objectives
• Provide ongoing client support, translating client questions into data and insights, managing project timelines and expectations, and documenting requirements such as metric definitions
• Carefully handle sensitive employee data, ensuring confidentiality and security
• Analyze unstructured and structured data sources and run statistical analysis to deliver actionable insights
• Consult with HR and business leaders, leveraging data and insights to tell a compelling story and support data-driven decision making
• Support HR data needs by automating data processes and streamlining reporting
• Support enterprise employee listening programs by building surveys, updating reporting within survey tools, and providing ongoing project support

Requirements

• 2+ years of experience using Tableau to create interactive data visualizations
• 2+ years of experience in BI/Analytics with stakeholder-facing requirements work
• 1+ year experience in SQL with the ability to write basic queries joining multiple tables
• Attention to detail with a high degree of accuracy
• Strong organizational skills with experience prioritizing, balancing, and delivering upon multiple priorities
• Solid analytical and problem-solving skills
• Ability to work cross-functionally across teams and departments
• Ability to develop structured approaches to identify root causes and recommend resolutions
• Ability to learn and adapt quickly utilizing AI to grasp new concepts and expand knowledge

Nice to Have

• Expertise in statistical and analytical tools such as Python
• Experience with techniques like machine learning and regressions
• MS or MBA in math or science fields such as Engineering, Analytics, Psychology

Qualifications

• Educational background in math, science, engineering, analytics, or psychology (preferred)

Benefits & Perks

• Full range of medical, financial, and other benefits including 401(k) eligibility
• Discretionary awards and potential sign-on bonus
• Paid time off benefits such as vacation, sick time, and parental leave
• Competitive salary range between USD $85,600 and USD $171,600 per year, with potential for additional compensation elements