UN
Entry-Level Data Analyst
Sydney, New South Wales, Australia (Hybrid) · Part time
Sii il primo a candidarti
- Esperienza
- Qualsiasi
- Stipendio
- —
- Aperture
- 1
- Pubblicato
- 1 ora fa
- Modalità di lavoro
- Ibrido
- Istruzione
- Degree or Diploma in Data Analytics, Statistics, Mathematics, Computer Science, Business, or related field
- Riprendere
- È necessario candidarsi
Dove lavorerai
Descrizione del lavoro
Job Overview
This part-time Data Analyst position at AM GROUP SA is based in Sydney, NSW, and offers a hybrid working arrangement combining on-site presence with remote work from home. The primary focus is on supporting data-related processes to ensure data is accurate, clean, and reliable for business use.
Key Responsibilities
- Assist with collecting, cleaning, and validating data to maintain high-quality datasets.
- Support the creation of basic reports, dashboards, and data summaries for stakeholders.
- Document data processes and maintain data records organized and up to date.
- Collaborate with team members to understand business needs and translate them into straightforward analytical outputs.
- Monitor key performance metrics and identify issues in data accuracy or consistency.
- Contribute to improving data workflows and routines to enhance efficiency and quality.
Qualifications and Skills
- Basic experience in data handling, including collection, cleaning, and validation using spreadsheet software or entry-level analytics tools.
- Ability to interpret and produce simple charts, reports, and dashboards with attention to detail.
- Strong numerical and critical thinking skills to detect patterns, trends, and data quality problems.
- Effective written and verbal communication skills for presenting findings and collaborating with colleagues.
- Organizational aptitude to manage multiple assignments, prioritize tasks, and document procedures systematically.
- Comfort working in a flexible hybrid setup, requiring presence on site in Sydney as well as remote work.
- Educational background in Data Analytics, Statistics, Mathematics, Computer Science, Business, or related disciplines, including degree, diploma, or equivalent experience.
- Familiarity with spreadsheet programs such as Excel or Google Sheets, and a keen interest in learning visualization or analytics platforms like Power BI or Tableau.
- Curiosity and willingness to acquire new skills and tools, coupled with a proactive approach to problem-solving.