
Data and Insights Analyst
- Melbourne, VIC
- Permanent
- Full-time
- to spend more time with your loved ones – with an extra week of paid leave each year through our Take 5 initiative.
- to balance work and life – with a hybrid working model, giving you the flexibility to work from home while connecting in the office just two days a week or work remote for certain roles.
- to put your wellbeing first – with Sonder, a 24/7 support app for mental and physical wellness.
- to access great financial benefits – with discounts on Latitude products and services.
- Design, build, and maintain high-quality Power BI dashboards tailored to the needs of operational teams and leadership.
- Apply strong UI/UX thinking to ensure visual outputs are user-friendly, clear, and drive immediate insight.
- Ensure reports are aligned with Shared Services rhythms (e.g. daily flash, monthly forums, exception tracking).
- Develop and maintain semantic models and data layers in Power BI and Snowflake to support scalable reporting.
- Optimise data pipelines, joins, and transformations for performance, reusability, and consistency across reporting assets.
- Collaborate with BI/Engineering teams to ensure alignment of enterprise data structures where needed.
- Work directly with Ops leaders and department heads to define reporting needs, performance metrics, and KPIs.
- Support deep dives and ad hoc investigations with clear analysis and recommendations.
- Contribute to performance reviews, optimisation workstreams, and change initiatives by bringing a data-driven lens.
- Ensure accuracy and trust in all data products delivered through robust validation, documentation, and testing.
- Maintain clear documentation for data models, business rules, and data sources to support transparency and continuity.
- Proactively identify opportunities to reduce data duplication or manual reporting effort across the business.
- 3–5 years’ experience in data analysis, BI development, or analytics engineering roles.
- Proficiency in Power BI, including DAX, Power Query, and data modelling best practices.
- Solid technical skills in Snowflake, SQL, and experience working within cloud data environments.
- Ability to partner with non-technical stakeholders to understand needs and translate them into technical solutions.
- Strong analytical, communication, and problem-solving skills with a hands-on, delivery-oriented mindset.
- Experience supporting Contact Centres, Workforce Management, BPO, or operational performance environments.
- Exposure to data lifecycle tooling (e.g. DBT, Git, JIRA, Confluence).
- Familiarity with automation tools or scripting languages (e.g. Python, Power Automate).
- Understanding of data governance, access control, and lineage documentation practices.