Senior Manager, Analytics

Senior Manager, People Analytics

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The Senior Manager, People Analytics is a critical analytical and technical expert within our HRIS & People Analytics team. This role supports the build‑out and maturation of our People Analytics capability, delivering high‑quality reporting, dashboards, insights, and data governance practices that empower business leaders to make informed workforce decisions.

• Provide data analytics to the business using either the tools available or implementing new tools that will provide managers with information that drive smart business decisions.
• Responsible for maintaining or improving the systems and processes in place, to ensure strong data management practices and moving the department into a space where predictive analytics can support decision making.
• Partner with HR, IT, Data Analytics and other internal colleagues and clients to solve problems using innovative methods to collect and analyze internal data, compare it to relevant industry data and identify insights and solutions.
• Drive smarter business decisions by designing metrics, testing hypotheses, developing dashboards and delivery methods that will supply insights in both automated and targeted ways.
• Adopt a consultative approach that develops and nurtures relationships with relevant internal/external stakeholders.
• Manage the performance of Otsuka’s HR technology vendors to ensure systems are maintained and integrated as necessary with each other and/or with other internal/external systems.
• Identify system enhancements that will improve process or data capture and implement and execute on those initiatives.
• Assist in developing and executing the People Analytics strategy (including reporting and analytics) for all our employee efforts.
• Analyze and present data in a way that encourages a creative and collaborative approach to interpreting the information and helps proactively address business needs.
• Design, build and automate key HR metrics, measurements and reports in collaboration with stakeholders and business leaders.
• Support stakeholders and leaders to act based on predictive people analytics, insights identified, and recommendations made.
• Develop rigorous analytical models that provide structure to ambiguous and complex issues.
• Lead people analytics research projects including data collection and statistical analysis.
• Create data audit reports and dashboards to ensure system data accuracy.
• Support in development of knowledge and expertise of all People Analytics and Reporting services (e.g., KPIs, surveys, reports, dashboards, analytics).
• Develop, conduct and administrate organization wide surveys and provide insights to internal leadership based on survey results data.

• 5–8+ years of hands‑on experience in People Analytics, HR analytics, data reporting, or HRIS.
• Ability to convert complex data sets into digestible insights and stories.
• Experience building HR dashboards and data models that support business decision‑making.
• Strong attention to detail and commitment to data accuracy.
• Ability to work cross‑functionally in a matrixed HR environment.
• Strong leadership, interpersonal, and communication skills.
• Strong project management skills, ability to multitask by handling multiple projects and priorities simultaneously.
• Strong familiarity with survey platform (i.e. Qualtrics).
• Fundamental process knowledge of HR processes and employee lifecycle management from recruitment to offboarding.
• Demonstrates strong problem‑solving, analytical, negotiating, and decision‑making skills.
• Demonstrates Learning Agility.
• Ability to effectively manage multiple resources including direct reports and external vendors.
• Ability to effectively interact with individuals at all levels of the organization.
• Ability to communicate effectively through presentations.
• Excellent computer skills including MS Office (Word, Excel, PowerPoint, and Outlook).

• Strong technical proficiency in Workday, Power BI, Visier, and Excel.
• Knowledge of advanced statistical tools/languages such as SAS, SPSS, R.
• Functional experience in…