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پی

Entry Level Data Analyst

Potencia tu talento

Melbourne, Victoria, Australia (Hybrid) · پارٹ ٹائم

درخواست دینے والے پہلے فرد بنیں۔

تجربہ
کوئی بھی
تنخواہ
کھلنا
1
پوسٹ کیا گیا
5 گھنٹے قبل
کام کا موڈ
ہائبرڈ
تعلیم
Relevant tertiary education or ongoing studies in data analytics, statistics, computer science, business, or related fields preferred
دوبارہ شروع کریں۔
درخواست دینے کی ضرورت ہے۔

جہاں آپ کام کریں گے۔

ملازمت کی تفصیل

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.

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