Senior AI-Driven BI & Analytics Manager

Impos Solutions International

City of Melbourne

On-site

AUD 140,000 - 190,000

Full time

3 days ago
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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

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