- Esperienza
- Qualsiasi
- Stipendio
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- Aperture
- 1
- Pubblicato
- 1 giorno fa
Descrizione del lavoro
Role overview
We are seeking an early-career Data Analyst who enjoys exploring data, finding patterns, and converting information into practical business insights. This is a full-time position within the Data Analytics & Intelligence team in Australia.
Key responsibilities
- Gather, structure, and assess data from multiple sources.
- Look for trends, recurring themes, and opportunities by digging into datasets.
- Build reports, dashboards, and visual representations that make findings easy to understand.
- Turn complex data into clear recommendations and usable insights.
- Work closely with teams across the business to support goals and strategic projects.
- Track KPIs and other performance measures to understand business results.
- Maintain accuracy, consistency, and data quality across reporting workflows.
- Support initiatives that improve operations and contribute to business expansion.
What we are looking for
- Strong analytical mindset with solid problem-solving ability.
- Ability to review data, draw conclusions, and explain insights clearly.
- Comfort using spreadsheets, databases, and reporting platforms.
- Basic understanding of business metrics, KPIs, and analytical methods.
- High attention to detail and good organizational habits.
- Confident written and verbal communication, including presentation skills.
- Interest in learning, innovation, and data-led decision-making.
Why join us
- Work on meaningful projects that help shape business strategy and outcomes.
- Receive mentorship, training, and opportunities to grow professionally.
- Collaborate with skilled colleagues in a supportive environment.
- Gain practical experience with modern analytics tools and technologies.
- Develop valuable expertise that can accelerate your career growth.
- Be part of a culture that encourages curiosity, teamwork, and continuous improvement.
Additional information
- Role type: Full-time.
- Team: Data Analytics & Intelligence.
- A successful candidate will help translate data into actionable business decisions and contribute to a culture of smarter, evidence-based work.