Ninja Van
Data Analyst
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Lead marketing analytics and data strategy for B2B SaaS Marketing. Design measurement frameworks, own attribution, funnel and lifecycle analysis, forecasting, and marketing investment recommendations. Partner with senior marketing leaders and cross-functional teams to build data foundations, enable AI-assisted analytics, and mentor analysts to raise analytical standards.
Top Skills:
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Cybersecurity
Senior Data Analyst partnering with Marketing to measure attribution, funnel performance, forecasting, and lifecycle metrics. Build analytical frameworks, scale AI-assisted analytics, work with cloud data stacks, BI tools, and martech to inform marketing decisions and improve data foundations.
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Manufacturing
Analyze fleet‑scale manufacturing, test, deployment, and operational data to produce KPIs, dashboards, and AI‑enabled applications. Perform statistical analysis, improve data quality, automate workflows with AI/ML, and deliver executive insights. Collaborate with engineering, product, suppliers, and operations to embed data‑driven solutions into NPI and manufacturing processes.
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About the unit:
Performance Analytics Unit acts as the company's eyes and ears, gathering data on shipments, routes, and warehouse operations. The Unit analyzes data to identify areas for improvement, such as faster delivery times or reduced costs, and provide insights to optimize the entire logistics network.
Job Description:
The Performance Analytics Operations Analyst is responsible for conducting day-to-day data gathering, generation, and basic analysis to support the Senior Analysts and Department Head of Performance Analytics towards the overall direction of the Department. They will process data and create meaningful dashboards to ensure that operating teams have enough visibility on operational and cost metrics.
Main Duties
- Create views specific to their assigned departments of the established KP
- Deep dive on a granular level the issues that ground operations are experiencing both through ground immersion and back-end data processing
- Tailor-fit targets of KPIs of each hub based on the requirements set by t
- Department to hit overall goals of the organization
- Provide insights, feedback, and recommendations for process changes
- Standardize and automate reports and other requirements
- Ad hoc reports required by the department
Qualifications
- Bachelor's Degree, preferably in Business Studies, Management/ Industrial Engineering
- Work experience in any similar field is a plus
- Basic knowledge and understanding of SQL and other business intelligence or analytics platforms (Python, R, Periscope, Metabase)
- Proven analytical background
- Intermediate skill in Microsoft Excel or Google Suite’s GSheet
- Excellent verbal and written communication
- Can work independently and as a member of a team
- Ability to work under pressure, prioritize and thrive in a fast-moving environment
What you need to know about the Melbourne Tech Scene
Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.
