Data Analyst
It
81K - 91K AUD
Close on: 2026-03-08
Visa sponsorship available: Visa 186, Visa 482, Visa 494
We are seeking a talented and motivated individual to join our team as a Data Analyst. This is a full-time, permanent position designed for someone who is passionate about working with data, analyzing trends, and deriving insights to drive decision-making. The role does not require prior experience or is open to candidates with up to 3 years of relevant experience. If you have a strong foundation in data analysis, problem-solving skills, and a desire to learn, this is the perfect opportunity for you to grow your career in the field of data analytics.
Responsibilities:
- Collect, organize, and analyze large datasets to identify trends, patterns, and insights.
- Clean and preprocess raw data to ensure accuracy and usability.
- Develop reports, dashboards, and visualizations to communicate findings effectively.
- Collaborate with cross-functional teams to understand their needs and provide actionable recommendations based on data.
- Stay updated with industry trends and tools to enhance your analytical capabilities.
Skill Requirements:
- Strong foundation in mathematics, statistics, or a related field.
- Proficiency in basic data analysis techniques (e.g., descriptive statistics, hypothesis testing).
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is an advantage.
- Experience with SQL or Python for data manipulation and analysis is preferred but not mandatory.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills to convey insights clearly to both technical and non-technical stakeholders.
Other Information:
- This role offers a competitive salary, continuous learning opportunities, and the chance to grow within the organization.
- We value innovation, teamwork, and a passion for data-driven decision-making.
- Candidates with less than 3 years of experience are encouraged to apply, provided they have a strong academic background or relevant coursework in data analysis, statistics, or computer science.
If you're ready to take on this exciting challenge and contribute to impactful projects, we'd love to hear from you!