India onlyPosition: People Data & Analytics Lead
Location: India (Remote)
Reports to: Chief of Staff, CPO’s Office
About Us
HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 4 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million hostnames.
Our People
With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.
Our Impact
As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.
Who You Are:
We are looking for a People Data & Analytics Lead who is as passionate about people as they are about patterns. This is a senior individual contributor role within the CPO’s Office, reporting to the Chief of Staff. Your mission is to build and lead a strategic analytics capability that treats data as a high-touch service for our internal customers—the People team, executive leadership, and HighLevel managers.
The ideal candidate blends advanced technical expertise with a customer-obsessed mindset. You don’t just build dashboards; you build clarity. You will translate ambiguous business questions into structured analytical approaches and actionable recommendations that help our leaders make the best possible decisions for our talent. This role requires a specialist who can pivot quickly from deep-dive workforce modeling to facilitating executive-level discussions in an agile, fast-paced environment.
What You’ll Do:
Strategic Advisory & Executive Partnership
- Act as a Lead Strategic Partner to the Chief of Staff to translate complex organizational goals into high-impact People strategies.
- Synthesize Complex Datasets into compelling, executive-ready narratives that simplify complexity and drive leadership alignment.
- Proactively Surface Organizational Risks, identifying trends in attrition, engagement, or performance before they impact the business.
- Drive the Analytics Roadmap by aligning data priorities directly with HighLevel’s long-term growth and organizational strategy.
Customer-Obsessed Analytics (Data as a Service)
- Adopt a "User-First" Design: Translate complex workforce data into intuitive, visually compelling dashboards and presentations–using strong visual storytelling to distill ambiguity into clear, decision-ready insights for executive leaders.
- Drive Decision-Ready Insights: Focus on delivering actionable recommendations rather than just raw reporting, ensuring every insight drives meaningful action.
- Collaborative Problem Solving: Partner directly with functional leaders to translate their most pressing business questions into structured data narratives.
- Enablement & Literacy: Act as a data translator, simplifying complex workforce models for executive audiences without losing analytical rigor.
Advanced Workforce Modeling & Forecasting
- Design Sophisticated Workforce Models: Lead headcount forecasting, capacity planning, and scenario modeling to inform financial and operational decisions.
- Establish High-Value Metrics: Define and standardize core metrics across the talent lifecycle—from retention and engagement to organizational design and compensation.
- Agile Impact: Own complex, multi-workstream analytics initiatives from concept through implementation, ensuring insights are embedded into the company's operating rhythms.
Data Governance & Integrity
- Establish Excellence Standards: Define data governance standards, metric definitions, and quality controls to ensure consistency and reliability across the People org.
- Influence Infrastructure: Partner with HRIS and Data Engineering teams to ensure the necessary data inputs are available for high-level analysis.
- Optimize for Scalability: Improve automation and reduce manual reporting through process optimization, ensuring the analytics function can scale with the company.
What You’ll Bring:
- 8+ years of experience in People Analytics, HR data strategy, workforce planning, or related roles.
- Advanced proficiency in analytics tools and data visualization platforms (e.g., Tableau, Power BI, Looker, Excel, SQL or similar).
- Strong understanding of how core HR domains operate, with the ability to leverage that knowledge to extract, analyze, and synthesize meaningful people insights.
- Demonstrated success leading complex, cross-functional initiatives using structured project management methodologies in agile or fast-paced environments.
- Proven ability to influence senior stakeholders and operate independently with minimal oversight.
Equal Employment Opportunity Information
The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government record keeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.
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