Lead BI Engineer - Oceania

Orix Digi; Sydney; Hybrid; AUD 150,000 - 210,000; Full time

Job summary

Orix Digi, Sydney-based, is seeking a Lead BI Engineer for Oceania to own end-to-end BI pipeline design and translate demand signals into measurable pipeline and revenue impact. This full-time hybrid role collaborates across Oceania teams from Sydney HQ.

You will drive KPI trees, run weekly optimization cycles, and maintain QA and stakeholder communications while guiding cross-functional squads across campaigns and delivery systems.

Qualifications

• 7–10 years of experience in business intelligence pipeline design.
• Hands-on capability with SQL, dashboard engineering, data modelling.
• Strong communication and stakeholder management in cross-functional environments.
• Data-informed decision making with KPI and performance analysis.
• Demonstrated ownership mindset with the ability to execute against deadlines.

Responsibilities

• Own end-to-end delivery for BI Engineer initiatives, from planning through execution and optimization.
• Translate business goals into KPI trees, sprint priorities, and measurable weekly actions.
• Run structured experiments and document performance learnings for scaling decisions.
• Collaborate with adjacent teams to align creative, technical, and operational dependencies.
• Maintain QA discipline, reporting clarity, and leadership-ready status updates.

Skills

SQL

Dashboard engineering

Data modelling

Job description

Data & Analytics

Lead BI Engineer - Oceania

Own business intelligence pipeline design outcomes for Oceania markets by translating demand signals into measurable pipeline and revenue impact.

Full Time Hybrid Lead Sydney (Hybrid) with Oceania collaboration

Role Overview

Position scope, strategic mission, and operating context.

Role Mission

Drive reliable execution in business intelligence pipeline design with clear KPI governance, weekly optimization cycles, and high-quality stakeholder communication.

Business Context

• You will work with cross-functional squads supporting campaigns and delivery systems across Oceania markets.
• This role contributes to our region-country-city operating model and reinforces commercial accountability.
• You will partner with strategy, delivery, and analytics leads to improve execution quality and speed.

Role Snapshot

• Department: Data & Analytics
• Employment Type: Full Time
• Work Model: Hybrid
• Primary Location: Sydney (Hybrid) with Oceania collaboration

Core Responsibilities

• Own end-to-end delivery for BI Engineer initiatives, from planning through execution and optimization.
• Translate business goals into KPI trees, sprint priorities, and measurable weekly actions.
• Run structured experiments and document performance learnings for scaling decisions.
• Collaborate with adjacent teams to align creative, technical, and operational dependencies.
• Maintain QA discipline, reporting clarity, and leadership-ready status updates.

Requirements And Qualifications

Capabilities required to perform the role at a high level.

Required Experience

• 7-10 years of experience in business intelligence pipeline design.
• Hands-on capability with SQL, dashboard engineering, data modelling.
• Strong communication and stakeholder management in cross-functional environments.
• Data-informed decision making with comfort in KPI and performance analysis.
• Demonstrated ownership mindset with the ability to execute against deadlines.

Preferred Qualifications

• Experience working across multi-country or multi-region delivery environments.
• Track record improving conversion quality, efficiency, or operational reliability.
• Confidence in SOP documentation and process governance.

Hiring Process

Structured selection focused on capability, execution quality, and team fit.

1. Step 1: Application Review. Capability evidence and role fit are assessed against clear decision criteria.
2. Step 2: Role and Experience Screening. Capability evidence and role fit are assessed against clear decision criteria.
3. Step 3: Practical Assessment. Capability evidence and role fit are assessed against clear decision criteria.
4. Step 4: Leadership Interview. Capability evidence and role fit are assessed against clear decision criteria.
5. Step 5: Offer and Onboarding. Capability evidence and role fit are assessed against clear decision criteria.

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