Why RenewMap?
Australia and New Zealand's energy system is evolving fast. New generation, storage, transmission and demand are moving in parallel, and the project pipeline shifts every week.
For developers, suppliers, government bodies and market participants, the hard part isn't a lack of information. It's that the information is fragmented, inconsistent, hard to access and quickly out of date. That makes planning, origination, due diligence and stakeholder engagement slower and riskier.
RenewMap exists to fix this.
We turn messy, fast-moving energy data into a single, current, decision-grade view of what's being built, where, and by who. We're trusted for origination by leading developers, relied on in government reporting (such as the 2025 Annual Progress Report by the Climate Change Authority), and increasingly used to support commercial transactions across the energy supply chain.
RenewMap is only a few years in and we're just getting started. Next, we're expanding from project visibility into system-level behaviour (e.g. constraints, congestion) and deeper commercial workflows that help customers find, evaluate, and execute commercial opportunities with confidence.
RenewMap is built by energy professionals that deeply understand the industry with software engineers who care about craft. We are a small, mission-oriented team working with modern tools, listening to feedback and shipping quickly, and
solving big problems that matter for our future
.
The role and team
RenewMap itself is a web-based geospatial platform delivering accurate, highly accessible, and near real-time data to our customers. As a Data Systems Analyst at RenewMap, you'll focus on data analysis, validation, and operations to support production datasets and insights for customers.
You'll maintain existing datasets and help bring new ones into the product: ensuring they are correct and converted into useful outputs. That means getting hands-on making data updates in addition to partnering with engineers on new initiatives to define requirements, assess sources, validate quality and document limitations.
You'll also investigate anomalies and contribute to research and insight pieces that explain what's changing in the market. It is a hands-on role with meaningful ownership: you'll make pragmatic technical choices and ship, learn and iterate quickly.
At RenewMap we move fast, talk to our customers, and collaborate without heavy processes. The work involves ambiguity, but it also creates direct value for the people responsible for our energy transition.
And
you'll be backed by a world-class team to do your best work
.
Responsibilities
Your responsibilities will be to:
* Maintain and validate core datasets (project pipeline, network-related data, etc.)
* Build lightweight data workflows and checks, and partner with engineers to automate
* Define data requirements for new production datasets and features, including update cadence, key fields, and acceptance criteria
* Produce customer-facing analysis and insights, ex. briefs, charts, commentary, release notes etc.
* Investigate data quality issues end-to-end: root-cause analysis, fixes/workarounds, and clear communication to customers
An average day might look like:
* Morning:
update our project dataset based on new media release
* Before lunch:
investigate a customer question or anomaly (e.g. why a project changed status)
* After lunch:
work with product engineers on requirements for a new feature (data fields, definitions, edge cases)
* Afternoon:
create a quick write-up and insight into market movements in the last month
* Closing off the day:
push new checks to catch a recurring issue and improve data quality
Your background
* 3+ years experience in a data/analytics role (energy industry strongly preferred)
* Strong SQL/Python and comfort working with relational databases
* Hands-on experience cleaning and reconciling imperfect data
* A quality mindset: you care about accuracy, provenance, and repeatable processes
* Clear verbal and written communication. You're happy to talk to customers and explain trade-offs
Nice to have
* Knowledge of the Australian energy industry,
especially AEMO datasets and processes
* Experience with geospatial data formats, and GIS tooling (e.g. QGIS, GeoJSON)
* Experience with workflow orchestration tools (Prefect preferred)
* Experience using LLMs to support analysis or data operations (extraction, classification, triage) with appropriate QA
* Experience working in a high-growth SaaS environment
Benefits
* Competitive salary
* Hybrid work with flexible hours
* Learning and development budget
* Access to energy industry events and networks
Interested?
Email your resume and a short intro to Even if you're not a perfect fit, we'd still love to hear from you. We're always looking for great people.
If you have links to relevant work (GitHub, portfolio, writing), we'd love to see those too