Senior Data Analyst - Workforce Analytics - BPO/ITeS

The Senior HR Data Analyst supports the organization by providing decision-makers with the information and insight they need to make business decisions. The person in this role will make an impact by creating and producing dashboards, forecasts, and reports to tell a story through data. By gathering and analyzing data from multiple internal sources, the Senior Data Analyst will produce impactful reports that show key performance indicators, identify areas of improvement, and display root-cause analysis of problems.

This role is part of the Global Total Rewards team, rolling up to the Vice President of Compensation and Benefits, and dotted line to the VP of HRIS. On the HRIS team, we love all things data, tools, and processes. We prioritize user experience. We use data to guide and inform our business decisions while remaining open to experimentation and iteration. Unsatisfied with what is, we are continuously questioning if something could be better, embracing diverse and entrepreneurial thought processes. We believe in encouraging a positive working environment of empowerment, inclusion, and engagement.

Essential Responsibilities:

- Act as technical point of contact and subject matter expert that ensures data integrity, global standardization of key processes and transactions, analyzing data flows and Workday business processes.

- Serve as point of contact for report request administration. Manage and resolve report and data issue escalations within SLA.

- User-friendly deliverables (reports, dashboards, presentations, etc.) that translate detailed data, analysis, and insights into business-appropriate communication and recommendations.

- Consultation to partners on using data and insights to achieve their strategic goals; participation in cross-functional teams to analyze and tackle critical business challenges.

- Quantitative and qualitative data analysis, identification of patterns and trends, and insights that support thoughtful decision-making. Experience with predictive and prescriptive data analysis.

- Forecasts, recommendations and both strategic and tactical plans driven by business data and market knowledge.

- Actively research for new enhancements and releases in Workday, and continually challenge decisions to deliver a Workday environment that is best aligned with the needs of a global company.

- New perspectives, creative problem solving, and inter-departmental connections that improve analytical capabilities and transform us from reactive to proactive.

- A prioritized project plan that incorporates feedback from HR users, employees, and people leaders around challenges and areas of opportunity. Clear and appropriate expectations for all partners on timelines to delivery.

- Identify opportunities to alter business processes and configuration to better dovetail with Workday's strengths.

- A collaborative and informed team that ensures critical knowledge-sharing opportunities exist and information can be accessed on demand by all relevant partners.

- Owns training and on-boarding of new Employee Data Analysts, as well as mentoring junior members of the employee data team.

Qualifications/Requirements:

- Bachelor's Degree (Master's preferred) and 5+ years progressive experience working within HRIS, 3+ years' Workday experience required.

- Workday Report Writing experience including Advanced, Matrix, Trending, and dashboard creation. Composite reports, scorecards, and BIRT report experience is preferred.

- Intermediate to advanced Excel experience working with large data sets utilizing advanced formulas, pivot tables, macros and other functionality.

- Feel a strong sense of personal accountability for high quality, value-driven work that supports business outcomes; places the user in the center of decision making; and prioritizes speed, agility and innovation in work.

- Embrace continuous learning, curiosity, and ambiguity. They will fluidly share findings and new insights with peers through coaching and mentoring.

- Advanced experience in research and data analysis, application of statistical research techniques, or application development.

- Possess expertise in development and analytical tools, Tableau preferred.

- Have a proven ability to gather information systematically; consider a broad range of issues and factors; grasp complexities and perceive relationships among problems or issues; and use accurate logic in analysis.

- Take the initiative to independently craft and develop their own deliverables without relying solely on partner requests, generating new ideas and going beyond the status quo.

- Be responsive to changing business needs, manage and prioritize concurrent assignments, and handle ambiguity with ease. They will have a strong customer orientation and a consistent record of hitting deadlines.