Lead Analytics Engineer

Do you love turning messy business questions into data people can trust? Can you connect the customer journey from the first marketing touch through sales conversion, revenue, retention, and product usage and explain the numbers equally clearly to an engineer, a CMO, and a CFO? AIHR is looking for a Lead Agentic Analytics Engineer to become the hands-on functional lead of our two-person Data & Analytics team.

You will own the translation of cross-functional business questions into trusted metrics, governed semantic models, and decision-ready agentic analytics; set the analytical direction; and build the most critical models yourself. You are transforming raw data into governed products that drive decision-making for our business partners.

About AIHR
Founded in 2016 with the mission to future-proof HR, the Academy to Innovate HR (AIHR) has become the global market leader in online training for HR professionals. We support customers in more than 140 countries, including organizations such as Unilever, Reckitt, Goldman Sachs, Philips, Deloitte, Nike, Heineken, and UBS. Our goal is to continuously upskill and empower one million HR professionals.

Today, we are an international team of more than 100 people representing over 30 nationalities. We are driven by excellence, innovation, and a hunger to grow, while staying friendly, enthusiastic, and committed to helping each other succeed.

Working at AIHR means taking real responsibility, improving how we operate, and getting the freedom to develop in new areas and shape your role as the company grows.

Role and Responsibilities
AIHR's Data & Analytics team is part of Business Operations. You will work alongside Vahid, our Senior Data Engineer, and report to Leo, our VP of Business Operations. Our ingestion and warehouse foundation is largely established: data from systems such as Hub Spot and our own LMS moves through ETL pipelines into Snowflake. Through special Projects, we are building governed semantic layers on top so the business can self-serve trusted analytics through Power BI, Metabase, and AI tools.

Your role owns the step that matters most: translating a business question into a clear definition, a well-designed model, and conversational/agentic analytics that your leadership trusts. You will set the analytical architecture, dbt standards, and roadmap, while Vahid focuses on ingestion, warehouse reliability, and engineering implementation. You will both build: you will personally deliver the most critical business models, review implementations, and ensure the outputs are usable by the business.

This role has no direct reports. Your colleague, Vahid, remains managed by the VP of Business Operations, while you have clear functional decision rights over metric definitions, semantic-model design, analytical quality, dbt standards, and technical priorities. It is designed for someone who wants to lead through expertise while remaining close to the work.

What You'll Own

Own and execute a rolling one-year Data & Analytics roadmap, balancing urgent business needs with foundational work. Guide Vahid through clear priorities, design reviews, code review, and reusable modeling patterns.

Lead discovery across Marketing, Sales, Customer Success, Product, and Finance to uncover the decision behind a request and translate it into agreed metric definitions, governed semantic layers, and data models that connect the full customer lifecycle.

Set the analytical architecture and dbt standards; design, build, test, and document the most critical governed models yourself using SQL and dbt.

Own the full-funnel measurement framework—from marketing reach, demand generation, attribution, and customer acquisition cost through lead and pipeline conversion, sales cycle, bookings, and revenue to onboarding, product adoption, expansion, renewal, churn, and customer lifetime value. Keep core recurring-revenue definitions finance-grade and reconciled while showing how upstream activity drives downstream customer outcomes.

Own the logic and quality behind executive dashboards and self-service analytics across Power BI, Metabase, and AI-enabled interfaces. Present the results to senior leaders, explain every assumption, and respond constructively to challenge.

Partner closely with Vahid on warehouse and pipeline requirements, resolve conflicting numbers at the source, and raise the technical quality of the team. Apply AI where it improves development speed or data access, while using sound judgment around…