AI Data Analyst / Engineer

We are seeking an AI-experienced Data Analyst / Engineer with deep expertise in AI, data analytics, cloud technologies (Azure AWS), and business analysis. The ideal candidate is highly skilled in understanding customer needs, defining AI-driven solutions, and delivering value through data analytics. They must be comfortable engaging with customers, gathering requirements, defining solutions, and presenting proposals.

This role is perfect for someone who enjoys working with stakeholders to translate complex AI and data concepts into actionable business solutions while managing product roadmaps, writing requirements, and delivering high-impact AI data projects.

You must be a New Zealand Citizen or have a New Zealand Work Visa to be considered for this role.

Key Responsibilities

Customer Engagement Business Analysis
Engage directly with customers to understand their AI and data analytics needs
Conduct requirements gathering sessions, workshops, and stakeholder interviews
Define and document business use cases, user stories, and functional requirements
Act as a trusted advisor, guiding customers on AI and data strategies
AI Data Analytics Solution Design
Define AI-driven data analytics solutions tailored to customer needs
Architect and design AI and data solutions using Azure, AWS, and other cloud-based AI/ML services
Develop proof-of-concepts and validate AI/data solutions before full-scale implementation
Work with data engineers and AI/ML specialists to implement solutions
Product Project Management
Collaborate with cross-functional teams, including engineering and sales, to develop and launch AI-powered analytics solutions
Own and manage product roadmaps, feature prioritization, and backlog grooming
Work with delivery teams to ensure successful execution of AI data projects
Track and measure solution performance, making continuous improvements
Documentation Proposals
Write detailed business requirements, technical requirements, and statements of work (SOWs)
Create customer proposals, RFP responses, and executive presentations
Develop high-quality documentation for AI and data analytics solutions

Requirements

Extensive expertise in AI, machine learning, and data analytics
Please do not apply if you do not have a background as a Data Engineer or Data Analyst
Strong experience with Azure AI, AWS AI/ML, and cloud-based analytics solutions e.g. Snowflake
Proven experience in data engineering, AI business analysis
Ability to write clear and detailed requirements documents, SOWs, and proposals
Strong customer engagement and communication skills—able to present AI solutions to both technical and non-technical audiences
Experience working with data pipelines, big data architectures, and AI-driven analytics
Knowledge of SQL, Python, and data visualization tools (e.g., Power BI, Tableau) is a plus
Understanding of AI governance, compliance, and ethical AI principles
5+ years of experience in AI, Data Analytics, and Cloud technologies
3+ years of experience in product management or business analysis
Experience working with enterprise customers in finance, retail, or digital transformation
Certifications in Azure AI, AWS AI/ML, or Data Analytics-related fields


Benefits

A competitive salary package, commensurate with experience
The opportunity to shape the future of digital payments
Work with a dynamic and innovative team, contributing to cutting-edge payment solutions Read more