Remote Senior Analytics Engineer - Lead Data & Impact

Insight Timer

City of Brisbane

On-site

AUD 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Fully remote
Based in Australia
Extra leave days
L&D budget
Global company retreat

Job summary

Insight Timer in Australia seeks a Senior or Lead Analytics Engineer to turn questions into experiments, data models and insights that enhance the app across a user’s lifetime. This hands-on role includes owning metrics, building scalable data systems and mentoring others, with a product-minded focus on delivering lasting value.

You will set technical standards and advance self-serve analytics so teams can answer their own questions, while balancing speed and rigour for impact at scale.

Qualifications

  • Excellent communication and collaboration with product, engineering and leadership.
  • Experience owning analytics end to end, with mentoring for more junior engineers.
  • Strong SQL in a modern cloud data warehouse (BigQuery).
  • Experience with large, event-based datasets and varied schemas.
  • Track record of analysing and interpreting A/B tests; causal inference is a plus.
  • Background in maths, statistics, or STEM.Experience with Python, LLM or agentic analytics workflows, and semantic layers.

Responsibilities

  • A/B test analysis: interpret experiments and translate results into actionable recommendations for product and eng teams.
  • Analytics delivery: answer complex questions and prioritise requests by impact.
  • Data ingestion, modelling and metrics: own data ingestion, modelling, and trusted metrics with clean datasets.
  • Build self-serve analytics: create tooling, semantic layers and agents to scale analytics beyond the team.
  • Product and revenue analysis: analyze user behavior and monetization to improve conversion and lifecycle insights.
  • Mentoring and leadership: guide and develop analytics engineers and set technical direction.
  • Communication: explain data clearly to both technical and non-technical stakeholders.

Skills

Excellent communication
Analytics engineering experience
SQL on cloud warehouse
Python
A/B test analysis
LLM workflows
Semantic layers
Statistical thinking

Education

STEM degree

Tools

BigQuery
Looker
dbt

Job description

Insight Timer in Australia seeks a Senior or Lead Analytics Engineer to turn questions into experiments, data models and insights that enhance the app across a user’s lifetime. This hands-on role includes owning metrics, building scalable data systems and mentoring others, with a product-minded focus on delivering lasting value.

You will set technical standards and advance self-serve analytics so teams can answer their own questions, while balancing speed and rigour for impact at scale.

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