జి
Entry-Level Data Analyst
Sydney, New South Wales, Australia (Hybrid) · పార్ట్ టైమ్
దరఖాస్తు చేసుకునే వారిలో మొదటి వ్యక్తిగా ఉండండి
- అనుభవం
- ఏదైనా
- జీతం
- —
- ఖాళీలు
- 1
- పోస్ట్ చేయబడింది
- 1 గంట క్రితం
- పని విధానం
- హైబ్రిడ్
- విద్య
- Degree in Data Science, Statistics, Mathematics, Computer Science or related quantitative field preferred
- పునఃప్రారంభం
- దరఖాస్తు చేసుకోవాలి
మీరు ఎక్కడ పని చేస్తారు
ఉద్యోగ వివరణ
Role Overview
This part-time Data Analyst position is based in Sydney, NSW, offering a hybrid work model that blends on-site collaboration with the flexibility to work remotely. The role focuses on supporting AI-driven product enhancements and internal business decisions by managing data activities.
Primary Responsibilities
- Collect, clean, and organize datasets to support AI applications and business insights.
- Perform basic data analyses and create visualizations and dashboards for clearer data interpretation.
- Assist in data modeling efforts under supervision of senior team members.
- Document analysis results and prepare comprehensive reports.
- Effectively communicate findings to a range of stakeholders, both technical and non-technical.
- Coordinate closely with engineering, product, and operations teams to ensure data integrity and relevance to business objectives.
Candidate Requirements
- Possess strong analytical capabilities with foundational knowledge in data analytics and statistics.
- Understand data modeling principles and experience working with structured data.
- Exhibit clear written and spoken communication skills to explain data insights effectively.
- Familiar with tools like Excel, SQL, Python or R, and visualization software such as Tableau or Power BI is advantageous.
- Preferably has academic background in quantitative disciplines such as Data Science, Statistics, Mathematics, or Computer Science.
- Show attention to detail, a keen interest in data, and eagerness to develop skills in a fast-evolving AI environment.
- Capable of excelling in a hybrid work environment with both in-person and remote teamwork.