Remote Junior Data Analyst - FMCG Insights

Placements24

Kimberley

Hybride

CAD 42 000 - 62 000

Plein temps

Il y a 7 jours
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Avantages offerts par ce poste

Remote work
Training & mentorship
Performance reviews
Exposure to diverse datasets
Collaborative virtual team

Résumé du poste

Placements24 is seeking a Junior Data Analyst for a fully remote role in the FMCG sector. You will assist in collecting, cleaning, and analyzing datasets to support data-driven decision-making and business insights.

This is ideal for recent graduates or early-career professionals aiming to build a career in data analytics. The role emphasizes learning, collaboration with senior analysts, and exposure to diverse datasets within a fast-moving consumer goods environment.

Qualifications

  • Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or related discipline.
  • Basic understanding of data analysis principles and techniques.
  • Proficiency in Microsoft Excel is essential; familiarity with SQL or other database query languages is a plus.

Responsabilités

  • Assist in collecting and organizing data from various sources for analysis.
  • Perform data cleaning and preparation to ensure accuracy and consistency.
  • Conduct basic data analysis and generate reports on key business metrics.
  • Identify trends and patterns in data and present findings clearly.
  • Support senior analysts and business stakeholders with ad-hoc data requests.
  • Learn and apply new data analysis techniques and tools relevant to FMCG.

Connaissances

Excel
SQL basics

Formation

Bachelor's degree in quantitative field

Outils

SQL

Description du poste

Placements24 is seeking a Junior Data Analyst for a fully remote role in the FMCG sector. You will assist in collecting, cleaning, and analyzing datasets to support data-driven decision-making and business insights.

This is ideal for recent graduates or early-career professionals aiming to build a career in data analytics. The role emphasizes learning, collaboration with senior analysts, and exposure to diverse datasets within a fast-moving consumer goods environment.

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