Senior Data Analyst - AI-Driven Insights & Power BI

Envest Direct Agencies

Maroochydore

Hybrid

AUD 110,000 - 140,000

Full time

36 hours ago
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Benefits offered by this job

Competitive salary
Yearly bonus
Hybrid work environment
parental leave
Birthday day off
Insurance product discounts

Job summary

Envest Direct Agencies on the Sunshine Coast, QLD, is seeking a Senior Data Analyst to turn complex data into practical business outcomes. You’ll partner with Marketing, Claims, Finance, and Operations to drive smarter decisions, improve customer experiences and solve real-world problems using data.

This role emphasizes analytics, automation, and AI adoption, with Power BI reporting, SQL data transformations, and Python workflows.

Qualifications

  • 3+ years in data analysis or BI roles, preferably in insurance.
  • Strong SQL, data validation and troubleshooting abilities.
  • Experience building Power BI reports, data models and DAX measures.

Responsibilities

  • Analyse customer, quote, policy, claims, transaction and marketing data to identify trends and risks.
  • Develop clear reporting and dashboards using Power BI for decision makers.
  • Write efficient SQL to transform data across warehouse and lakehouse environments.
  • Work with Microsoft Fabric including Warehouses, Lakehouses, notebooks and pipelines.
  • Build and support reporting automations using Python, Fabric and Power Automate.
  • Own analytics solutions from requirements through deployment and support.

Skills

3+ years data analysis
SQL
Power BI
DAX
Python
Microsoft Fabric
Data visualization

Tools

Power BI
SQL
DAX
Python
Microsoft Fabric

Job description

Envest Direct Agencies on the Sunshine Coast, QLD, is seeking a Senior Data Analyst to turn complex data into practical business outcomes. You’ll partner with Marketing, Claims, Finance, and Operations to drive smarter decisions, improve customer experiences and solve real-world problems using data.

This role emphasizes analytics, automation, and AI adoption, with Power BI reporting, SQL data transformations, and Python workflows.

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