AI Operations Data Analyst & Reporting Engineer

Sharon AI, Inc; Sydney; Hybrid; AUD 95,000 - 130,000; Full time

Benefits offered by this job

Hybrid working

Birthday leave

Employee Assistance Program (EAP)

Exposure to AI and next-gen technology

Learning & development

Novated leasing

Bounty referral program

Employee of the month

Growing global business

Make an impact

Collaborative culture

Job summary

Sharon AI is seeking a Data Analyst & Reporting Engineer – AI Operations to turn operational data into actionable insights. You’ll build and enhance dashboards, automate reports, and support service performance visibility across Australian and global AI Factory operations.

You’ll collaborate with Service Assurance, L2/L3 teams, Customer Success and stakeholders to drive data quality and timely reporting, enabling proactive decision-making and continuous improvement.

Qualifications

• 3+ years of experience in data analytics, operational reporting or BI within complex tech environments.
• Strong Power BI skills including data modelling and dashboard development.
• Experience with multiple data sources, APIs, databases and data validation.

Responsibilities

• Develop, maintain and improve operational dashboards and reports (Incidents, SLA/KPI, infrastructure health).
• Analyse data to identify trends, risks and opportunities, translating findings into insights.
• Maintain accurate SLA, KPI and service-performance reporting.
• Ensure data accuracy, consistency and traceability across source systems.

Skills

Power BI

Data modelling

Dashboard development

Data transformation

Reporting automation

Analytical thinking

Tools

SQL

Power Query/DAX

Python

Power Automate

APIs

Job description

Sharon AI is seeking a Data Analyst & Reporting Engineer – AI Operations to turn operational data into actionable insights. You’ll build and enhance dashboards, automate reports, and support service performance visibility across Australian and global AI Factory operations.

You’ll collaborate with Service Assurance, L2/L3 teams, Customer Success and stakeholders to drive data quality and timely reporting, enabling proactive decision-making and continuous improvement.