Data Analyst (Williamstown)

Location Ringwood, Victoria Employment Full-time or Part-time Salary $60,000 – $70,000 + super Start Flexible — ASAP preferred The Role This is a data operations and stewardship role. Your job isn’t to analyse data — it’s to ensure the data is worth analysing. You’ll own the recurring release process, maintain the accuracy and integrity of our market intelligence outputs, and extend our Tableau capability as the business grows into new markets. Think of yourself as the guardian of the pipeline: the person who catches problems before they reach a client, documents what’s supposed to happen so it can happen consistently, and takes genuine pride in data that’s trustworthy. You’ll work closely with our data manager and data engineer, with direct access to the Managing Director for day-to-day direction. This is a hybrid role — we expect you in the office in Ringwood, Victoria three to four days per week. Your immediate colleagues are remote, which means written communication and async work habits matter as much as the technical skills. We’re open to versatile or part-time arrangements for candidates who are concluding their studies — salary is quoted on a full-time equivalent basis. What You’ll Do Data operations and release management
- Own the mid-month data release process — executing established pipeline steps, validating outputs, and catching anomalies before data reaches clients
- Run routine data partner ingestions and file processing
- Perform data sanity checks across market share, installation counts, and pricing data
- Monitor pipeline health and escalate to the data manager or data engineer when something deviates from expected behaviour — with context, not just a flag
- Read Airflow DAGs to understand why a job failed, run Snowflake queries to verify output, and make minor dbt model adjustments when the pipeline needs a quick fix Tableau and reporting
- Maintain and extend existing Tableau workbooks — adding new dimensions, refreshing data sources, and building views requested by the team
- Create standard market intelligence charts and dashboards from briefs
- Over time, develop the capability to design new workbook structures independently Documentation and process
- Document the mid-month release process so it lives in writing, not just in people’s heads
- Maintain data dictionaries and source tracking to support new market onboarding
- Identify recurring discrepancy patterns and work with the data manager to fix them upstream AI systems — observe, maintain, and extend
- AI is deeply embedded in how we operate — not as a novelty, but as infrastructure. Our data engineer has built over 20 AI agents running across our data pipeline, content operations, and quality assurance workflows. You’ll be working alongside these systems from day one: understanding what they do, monitoring their outputs, and flagging when something looks wrong. Over time, you’ll have the opportunity to help extend AI coverage into new parts of the workflow. We expect you to use AI tools naturally in your own work — for research, documentation, problem-solving, and writing — and to be genuinely curious about how they could be applied better. This isn’t a checkbox. It’s how we work. What We’re Looking For
- SQL proficiency — you can write and read queries comfortably, and you use them to verify data rather than just pull it
- A stewardship mindset: you find it genuinely satisfying to know the data that left the building today was correct. Takes pride in accuracy on recurring work. Strong instinct for resolving discrepancies fully — you don’t flag problems and move on, you trace them to their root cause and close the loop.
- Detail‑oriented and process‑mindful — not allergic to work that repeats, because you understand why consistency matters
- Comfortable working independently with remote teammates across multiple timezones Strongly preferred
- Experience with a data visualisation tool — Tableau, Power BI, Looker, or similar. We use Tableau and will train you on it; what we’re looking for is demonstrated comfort with visualising and interpreting data, not prior Tableau certification
- Python and/or dbt exposure — you don’t need to be a developer, but you shouldn’t be afraid of a script or a model Nice to have
- Familiarity with data pipeline tools such as Airflow, Snowflake, or similar
- Interest in or knowledge of the solar or energy sector
- Experience working in a small team or startup environment What This Role Is Not This is not a data science role. You won’t be building predictive models or doing statistical research (at least not yet). It’s not a software engineering role. You won’t be writing production code from scratch. And it’s not a role where you can hand tasks off to someone else and wait — we’re a small team, so when something is yours, it’s yours to resolve. What it is An operational data role in a fast-moving, genuinely global business where accuracy, reliability, and initiative are the things that matter most. We don’t have exhaustive SOP documentation for everything — the business changes faster than documentation gets written. You’ll need to be comfortable figuring things out, asking good questions, and building the process as you go. If you’re someone who finds satisfaction in knowing that the data that went to a client in Germany this morning was correct, you’re the right kind of person for this. Growth Path Over 18–24 months, the expectation is that you’ll own the global data pipeline with the data manager providing oversight on complex and novel work. As SunWiz continues to expand into new markets across Europe, Asia, the Americas, and Africa, the scope of this role grows with it. There’s a clear path to a Data Operations lead role for the right person. Why SunWiz
- You’ll work on data that actually matters — the solar industry uses our market intelligence to make real investment, stocking, and strategic decisions
- Small team, real ownership — your work is visible and your contributions are noticed
- Part of a genuinely global operation — we cover markets across Australia, Europe, Asia, the Americas, and Africa
- Direct access to senior leadership from day one — no layers, no politics
- Hybrid working — 3–4 days per week in our Ringwood, Victoria office with a flexible, high-trust culture #J-18808-Ljbffr Apply on Kit Job: kitjobau.com/job/3q11o9