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AI and Analytics Engineer

Electric KiwiAuckland, Auckland, New Zealand

1 day ago

Job description

4 days ago Be among the first 25 applicants

The Energy Collective (TEC) exists to #makeitbetter by creating and scaling digital businesses which disrupt utility retailing markets. We’re at an exciting time where traditional utilities face technology-led disruption. Customers increasingly expect brands to do good for their staff, the environment, and the local community, while simultaneously offering a seamless user experience and providing great value. Underpinning our business is a progressive purpose led culture, and a strategy that recognises exceptional technology sits at the heart of best of breed consumer facing businesses. Our current markets for retailing are New Zealand with our Hyderabad operation providing technology development and process optimisation capability to support the retail operations.

The Data & AI team exists to lift business performance by making data insights and AI capabilities accessible, actionable, and integrated into how TEC operates. We\'re transforming TEC into a human led, agent operated business that empowers every team to make smarter decisions, work more effectively, and solve complex problems using data insights and intelligent AI agents.

Purpose of the Job

Establish close working relationships and understanding of TEC\'s internal departments, and their data insights & AI automation needs
Develop and manage data insights projects and AI agent solutions for each business department, to ensure they get maximum value from available data resources and AI tools
Champion the use of data analysis, engineering, and AI development best practices to ensure maintainable, cost-efficient, scalable, trusted, high-quality data products and AI agents
Design, build, and deploy AI agents that automate workflows and enhance decision-making across business functions
Interrogate and interpret business data to identify insights and opportunities to leverage AI
Encourage and educate business users on how to use self-service data, insights tools, and AI agents
Provide oversight and support to the engineering teams in our Hyderabad office

Responsibilities

Work closely with business stakeholders to understand data requirements, workflow pain points, and identify opportunities for AI agent automation

Translate business requirements into technical design documentation for both data solutions and AI agent implementations

Design and build AI agents using our AI platform (n8n, LibreChat) to automate business processes and enhance productivity

Design and build data pipelines to ensure data is clean, reliable, and accessible for both analysis and AI agent consumption

Develop, model and maintain datasets that power both analytical insights and AI agent functionality

Train and support business teams to adopt and effectively use AI agents and self-service tools

Ensure data quality, AI agent reliability, and consistency by implementing validation checks, error handling, and monitoring

Contribute to the design of new data platform features, AI agent capabilities, and platform enhancements

Facilitate effective interactions between business and technical teams for both data and AI initiatives

Monitor AI agent performance and continuously optimise for better business outcomes

Outcomes

Serve as a key point of contact for data insights and AI enablement across the organisation

Drive adoption and deployment of data analytics tools and AI agents to automate workflows and solve business problems

Deliver actionable insights and intelligent automation solutions to decision-makers and operational teams

Manage reporting, analytics, and AI agent development projects from conception to deployment

Enable business teams to become self-sufficient in using data tools and AI platforms for their specific needs

Achieve measurable improvements in decision-making speed, process efficiency, and reduction of manual work

Foster positive relationships and maintain open, honest communication across all teams

Essential attributes :

3+ years experience in a data analyst, analytics engineer, data engineer, data architecture, or process automation role

Tertiary degree in computer science, data science, information systems or similar relevant qualifications

Strong capabilities with SQL, Python and prompt engineering

Experience working with large databases, data warehouses or data lakes

Ability to understand business processes and translate into both data requirements and AI automation opportunities

Exposure to one or more BI / data visualisation platforms and experience with dimensional modelling

Strong analytical and problem-solving skills with a keen eye for identifying trends, data anomalies, and process inefficiencies that present automation opportunities

Excellent communication skills with a strong ability to translate technical details for a non-technical audience, and vice versa

Self-motivated team player who loves to work in a dynamic environment, adaptable to change and with a passion for emerging & AI technologies

Desirable but not essential :

Experience with AI agent platforms, workflow automation tools (e.g., n8n, Zapier, Power Automate), or chatbot development

Experience working with dimensional modelling

Energy and / or Telco industry experience

Exposure to AWS data services such as Glue, Athena, DMS, S3

Experience with LLMs, MCP, AI APIs, or conversational AI platforms

Experience working with remote / distributed teams

Understanding of CI / CD platforms, such as GitLab

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Auckland, Auckland, New Zealand

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