Senior Analyst: Organizational Effectiveness and People Analytics

WHO YOU ARE:

Zinnia is transforming its People function into a strategic partner to the business. This role owns the data and analytics behind that shift, centered around connecting people spend and decisions to financial outcomes. Rather than covering everything at once, the focus is a small number of flagship builds done properly, starting with a Net Labor Value framework that ties client and product economics to labor cost. It will then expand into adjacent topics like workforce planning or attrition economics as priorities evolve. The person structures ambiguous problems from scratch, builds the underlying datasets, and delivers decision-ready narratives to leadership. Best suited to someone with a consulting and quantitative background who is comfortable working without a playbook.

Key responsibilities

• Take an ambiguous mandate on people spend and decisions and turn it into a clear problem statement and workplan, without waiting for detailed direction
• Source, clean, and reconcile data across HR, finance, time-tracking, and sales-pipeline systems to build metrics from scratch
• Stand up and own a small number of core metrics, starting with Net Labor Value (margin, fully-loaded labor cost, and capital charges by client or product), and frame findings in financial terms leaders can act on
• Partner with stakeholders in Finance, Tech, and Delivery, including senior leaders, to gather requirements and build trust in the data, often without formal authority over the teams supplying it
• Translate analysis into a tight narrative and leadership-ready deck, present findings directly, and flex into adjacent topics, e.g., workforce planning, attrition and hiring economics, productivity, as priorities shift

Qualifications

• 3-6 years of experience, ideally including a stint at a consulting firm (strategy, management, or advisory) or a similarly rigorous analytical environment
• Strong quantitative skills and business acumen; comfortable turning raw, messy data across multiple systems into financial terms (cost, margin, ROI) leaders can act on
• AI fluency and strong desire to apply AI expected
• Track record of producing executive-ready written and visual outputs independently, comfortable with ambiguity and shifting priorities
• Insurance, annuity, or financial services industry exposure is a plus but not required