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
Embody TEC's organisational culture by fostering positive relationships and maintaining 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 is adaptable to change and has a 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