Senior / Lead Analytics Engineer
Insight Timer4 months ago
Remote, Australia +5 moreSenior / Staff+
Responsibilities
- Analyze and interpret A/B tests and turn results into clear product recommendations.
- Translate questions from product teams and company leaders into prioritized, useful analytics.
- Own data ingestion, modeling, and trusted metrics using clean, documented, and well-tested datasets.
- Build tooling, semantic layers, and agentic analytics workflows to enable self-serve analytics.
- Analyze behavioral and financial data to identify user segments, improve conversion, and understand the consumer lifecycle.
- Set technical direction, mentor analytics engineers, and improve the quality of team output.
- Communicate analytical findings, effort, and impact clearly to technical and non-technical stakeholders.
Requirements
- Solid experience as an analytics engineer with end-to-end ownership of work.
- Lead-level candidates should have experience mentoring or leading others.
- Strong SQL experience with a modern cloud warehouse, particularly BigQuery, Looker, and dbt.
- Experience working with large event-based datasets with varied schemas.
- Demonstrated experience analyzing and interpreting A/B tests.
- Experience with Python, LLM or agentic analytics workflows, and semantic layers.
- Strong communication and interpersonal skills.
- A background in mathematics or statistics, or a STEM degree, is a plus; causal inference experience is also a plus.
Benefits
- Fully remote work, with the employee required to be based in Australia.
- Competitive salary and options are offered.
- Extra leave days for wellbeing and birthdays.
- Generous learning and development budget and a wellbeing bonus.
- Global company retreat every other year.