Founding Data Lead - Shape Analytics for Future of Money

Agora; United States; Hybrid; USD 180,000 - 290,000; Full time

Job summary

Agora is hiring a Founding Data Lead to build the analytics function from the ground up. You will own how we define, source, and interpret data across onchain, product, financial, and operational domains.

This role offers high autonomy and visibility in shaping the company's data strategy. You'll turn raw behavior into actionable insights, enable self-service analytics for all teams, and collaborate with engineering to maximize data value while guiding product analytics efforts across surfaces

Qualifications

• 5+ years of analytics, BI, or data engineering, ideally as an early data hire at a high-growth startup.
• Strong SQL. You can write complex queries across joins, window functions, CTEs, and subqueries.
• Experience building and maintaining dashboards and metrics frameworks (Metabase, Looker, or similar).
• Ability to translate messy business context into clean data models.

Responsibilities

• Map data across our stack (onchain, product, financial, operational) into a coherent picture.
• Tell the story of how Agora runs and what the data means to growth and investment decisions.
• Stand up self-service analytics so every team moves faster on its own.
• Partner with engineering to raise the ceiling on what our data can do and bring product analytics to life.

Skills

SQL

Dashboarding

Data Modeling

Data storytelling

Communication

Tools

Metabase

Looker

Spark

Databricks

dbt

Airflow

Dagster

Prefect

Amplitude

Mixpanel

Job description

Agora is hiring a Founding Data Lead to build the analytics function from the ground up. You will own how we define, source, and interpret data across onchain, product, financial, and operational domains.

This role offers high autonomy and visibility in shaping the company's data strategy. You'll turn raw behavior into actionable insights, enable self-service analytics for all teams, and collaborate with engineering to maximize data value while guiding product analytics efforts across surfaces