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Entry Level Data Analyst
Melbourne, Victoria, Australia (Hybrid) · Paruh Waktu
Jadilah yang pertama mendaftar
- Pengalaman
- Setiap
- Gaji
- —
- Lowongan
- 1
- Diposting
- 6 jam yang lalu
- Mode kerja
- Hibrida
- Pendidikan
- Relevant tertiary education or ongoing studies in data analytics, statistics, computer science, business, or related fields preferred
- Melanjutkan
- Wajib mendaftar
Tempat Anda akan bekerja
Deskripsi pekerjaan
Role Overview
This part-time Data Analyst position at Potencia tu talento, based in Melbourne, VIC, offers a hybrid working arrangement allowing both onsite and remote work. The primary responsibilities include gathering, cleaning, and organizing diverse data sources to aid in reporting and business decision-making processes.
Key Duties
- Assist in creating foundational dashboards and reports.
- Conduct exploratory data analyses to discover patterns and trends.
- Prepare concise summaries of data insights for stakeholders.
- Work with datasets applying statistical techniques.
- Support data modeling initiatives with simple designs.
- Collaborate with team members to understand and meet business needs.
- Document procedures and uphold data quality standards.
- Communicate analytical findings effectively to technical and non-technical audiences.
Qualifications and Skills
- Strong foundational analytical and data interpretation skills.
- Basic understanding of statistics for descriptive analysis and hypothesis testing.
- Good communication skills for presenting results clearly.
- Introductory exposure to data modeling concepts.
- Experience or familiarity with spreadsheets (Excel, Google Sheets) and exposure to SQL, Python, or R is advantageous.
- Detail-oriented with solid problem-solving abilities.
- Ability to work independently and collaboratively within a hybrid work environment.
- Preferably pursuing or holding tertiary qualifications in Data Analytics, Statistics, Computer Science, Business, or related fields.
- Motivated for continuous learning and career development in data and analytics.