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Entry-Level Data Analyst

Grok

Sydney, New South Wales, Australia (Hybrid) · Paruh Waktu

Jadilah yang pertama mendaftar

Pengalaman
Setiap
Gaji
Lowongan
1
Diposting
7 jam yang lalu
Mode kerja
Hibrida
Pendidikan
Degree in Data Science, Statistics, Mathematics, Computer Science or related quantitative field preferred
Melanjutkan
Wajib mendaftar

Tempat Anda akan bekerja

Deskripsi pekerjaan

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.

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