Senior Analyst: Organizational Effectiveness and People Analytics

Zinnia
Noida +1 more
Career-pivot friendly

Who this role is best for

Strong fit for candidates with consulting and quantitative backgrounds who structure ambiguous problems and deliver financial narratives, working in a collaborative, data-driven environment in India.

Best fit for

  • Candidates with consulting experience and a knack for translating people data into financial outcomes
    — “ideally including a stint at a consulting firm (strategy, management, or advisory) or a similarly rigorous analytical environment”
  • Individuals who can independently build decision-ready narratives and datasets from scratch
    — “structures ambiguous problems from scratch, builds the underlying datasets, and delivers decision-ready narratives to leadership”
  • Professionals comfortable with AI and able to pivot across adjacent topics like attrition or productivity
    — “AI fluency and strong desire to apply AI expected”

Things to consider

  • The role requires independent work and initiative without formal authority over data suppliers
    — “often without formal authority over the teams supplying it”
  • Candidates must be prepared to handle shifting priorities and ambiguous mandates
    — “comfortable working without a playbook”

How to stand out

  • Demonstrate ability to work cross-functionally with teams like Finance and Tech without formal authority
    — “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”
  • Emphasize independent work and ability to deliver executive-ready outputs on your own
    — “Track record of producing executive-ready written and visual outputs independently”
  • Showcase experience in reconciling messy data across multiple systems for financial insights
    — “Source, clean, and reconcile data across HR, finance, time-tracking, and sales-pipeline systems to build metrics from scratch”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • net_labor_value_framework
  • workforce_planning_metrics
  • leadership_ready_decks
Typical background
consulting_experiencequantitative_analysis

Skills & requirements

Required

Data_cleaningData_reconciliationFinancial_metricsStakeholder_communicationAi_fluency

Preferred

Insurance_industry_knowledge

Stack & domain

Strong Quantitative SkillsBusiness AcumenAI FluencyProducing Executive-ready Written And Visual OutputsComfortable Working Without A PlaybookAmbiguity And Shifting PrioritiesPeople AnalyticsOrganizational EffectivenessFinancial Services

About the role

Original posting from Zinnia via Greenhouse

WHO WE ARE:

Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.

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

Source: Zinnia careers (Greenhouse)

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