*** No visa sponsorships supported ***

JOB DESCRIPTION

The Senior Data Analyst, People Analytics role is a newly added position focused on mining, understanding and leveraging all people related data to provide workforce dashboards, narratives and insights. The focus and impact will span a wide range of people and organizational areas including all human resources functionality (e.g., talent acquisition, compensation, benefits, labor and employee relations, DEI, workforce development, occupational health). This role will also focus on enabling our organizational leaders to make better data-driven decisions.

The incumbent will use strong business acumen and data analytics to deliver solutions, communicate insights and advise leaders through data interpretation. Additional responsibilities will include ensuring data integrity and implementing solutions in partnership with other team members.

Beyond a strong background in data analytics, the best candidate will have the ability to create understandable narratives for a range of audiences including senior leaders. The company is looking for someone with an insatiable drive to design and build solutions and who enjoys finding answers to complex questions, balanced with strong communication and consultation skills.

This role will require:

· Developing queries to extract data from multiple sources, analyze and provide clear insights with recommendations that will have positive impact on business decisions

· Providing requestors with strategic and tactical reporting and analysis that will allow them to make informed decisions

· Using data to tell a compelling story that provides business leaders with insight

· Conducting research using a broad range of tools and resources to extract insights in creating clear actionable recommendations

· Embracing opportunities to partner cross-functionally within and outside of HR including members in Finance, IT, Strategy, and other key stakeholders across the enterprise

Education:

• A bachelor’s degree in a quantitative field (e.g. Economics, Statistics, Mathematics, Data Science or computer science); 
• a quantitative Master’s degree is a plus

Experience:

• Minimum of 5 years in a previous data analytics or data science role
• Project leadership experience

Knowledge and Skills:

• Demonstrated experience applying statistical concepts such as regression modeling, causal inference/quasi-experimental methods, data transformation etc.
• Superior detail orientation, critical thinking, organization and analytical skills.
• Strong skills in managing multiple competing projects simultaneously
• Must have strong presentation skills using PowerPoint, Google Docs, or similar major presentation package