Senior AI-Driven BI & Analytics Manager

Impos Solutions International; City of Melbourne; On-site; AUD 140,000 - 190,000; Full time

Job summary

Impos Solutions International is seeking a Business Intelligence & Analytics Manager to turn vast data assets into actionable insights and evolve Impos Analytics, OTD reporting and Ezy reporting into best-in-breed products. The role combines analysis with product discipline and requires hands-on delivery of dashboards and models.

The ideal candidate will lead data governance, collaborate across Product, Engineering, Customer Experience, and Sales, and embed AI-generated recommendations into the

Qualifications

• Bachelor's degree in a data/analytics/engineering-related field or equivalent practical experience.
• 5+ years in data roles with customer/executive facing outputs.
• Experience querying and modeling relational data at scale.
• Hands-on experience using AI tools in analytics or product context.

Responsibilities

• Develop deep fluency in data assets across the group and identify data reliability gaps.
• Interrogate data to answer commercial questions and generate actionable insights.
• Apply AI tools to accelerate analysis and pattern detection.
• Own the vision and roadmap for Impos Analytics, OTD Reporting and Ezy Reporting.
• Deliver repeatable insights and embedded AI-generated recommendations.
• Collaborate with product, engineering, customer experience and sales to drive adoption.

Skills

Data analysis

Relational data modeling

AI-driven insights

Communication to non-technical

Education

Bachelor's degree in data/analytics/engineering

Tools

AI tools

LLM-assisted analysis

Job description

Impos Solutions International is seeking a Business Intelligence & Analytics Manager to turn vast data assets into actionable insights and evolve Impos Analytics, OTD reporting and Ezy reporting into best-in-breed products. The role combines analysis with product discipline and requires hands-on delivery of dashboards and models.

The ideal candidate will lead data governance, collaborate across Product, Engineering, Customer Experience, and Sales, and embed AI-generated recommendations into the