Senior Analytics Engineer — Remote (AU) Lead & Mentorship

Insight Timer; Canberra; Vor Ort; AUD 140.000 - 180.000; Vollzeit

Benefits dieser Stelle

Competitive salaries

Remote role (Australia-based)

L&D budget

Global company retreat

Zusammenfassung

Insight Timer is hiring a Senior or Lead Analytics Engineer to turn questions from product, engineering and company leaders into experiments, data models and insights that shape the world’s largest meditation community. You will own measurements, models and metrics across the product, building scalable, trusted data systems that support decisions across the user lifecycle.

This is a hands-on, senior role with ownership and mentoring responsibilities.

Qualifikationen

• Strong SQL on a modern cloud data warehouse (BigQuery).
• Experience designing and interpreting experiments (A/B tests).
• Ability to communicate insights clearly to technical and non-technical audiences.
• Experience mentoring or leading analytics engineers is a plus.

Aufgaben

• Lead A/B test analysis and translate results into actionable product recommendations.
• Deliver analytics insights by turning questions from product and leadership into clear answers.
• Own data ingestion, modelling and defining metrics with robust, tested datasets.
• Build self-serve analytics tooling and semantic layers to scale analytics across the company.
• Conduct product and revenue analyses to understand user behavior and lifecycle in the app.
• Provide mentoring and set technical direction for the analytics team.
• Communicate data findings effectively and manage expectations regarding effort and impact.

Kenntnisse

SQL on cloud warehouse

Experiment analysis

Communication

Mentoring

Ausbildung

Maths or Statistics degree / STEM

Tools

BigQuery

Looker

dbt

Jobbeschreibung

Insight Timer is hiring a Senior or Lead Analytics Engineer to turn questions from product, engineering and company leaders into experiments, data models and insights that shape the world’s largest meditation community. You will own measurements, models and metrics across the product, building scalable, trusted data systems that support decisions across the user lifecycle.

This is a hands-on, senior role with ownership and mentoring responsibilities.