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Data Insights Analyst (Entry / Junior)

Centres Spécialisés de l'Obésité Ile-De-France

Australia · Full Time

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Experience
Any
Salary
Openings
1
Posted
12 hours ago

Job description

Overview

We are seeking an entry-level Data Insights Analyst who is comfortable working with data, spotting meaningful patterns, and converting raw information into practical business recommendations. This role suits someone who is detail-focused, analytical, and interested in supporting decision-making through accurate reporting and insight generation.

Key Responsibilities

  • Gather data from different business systems and sources, then clean and prepare it for analysis.
  • Create dashboards, reports, and visual presentations that make findings easy to understand.
  • Review datasets to uncover trends, relationships, and insights that can inform business actions.
  • Track KPIs and other performance measures regularly.
  • Check reports and data outputs for consistency, accuracy, and reliability.
  • Work with internal stakeholders to understand their reporting and analysis needs.
  • Communicate conclusions and suggested next steps in a clear, practical manner.
  • Contribute to data-led improvements and ongoing business optimization efforts.

Requirements

  • Foundational knowledge of data analysis, basic statistics, and reporting methods.
  • Strong Excel skills, with SQL knowledge preferred.
  • Exposure to tools such as Power BI, Tableau, or similar reporting platforms is beneficial.
  • Familiarity with Python, R, or comparable analytical tools is an added advantage.
  • Sharp analytical thinking and a high level of attention to detail.
  • Good communication and problem-solving abilities.
  • Comfort handling large datasets with accuracy and efficiency.
  • A degree, diploma, or training in Data Analytics, Statistics, Mathematics, Business, Economics, IT, or a related discipline is preferred.

What We Offer

  • Practical exposure to real business data and live projects.
  • Mentoring and opportunities for professional growth.
  • A collaborative and supportive workplace.
  • Hands-on experience with modern data tools and business intelligence systems.
  • Competitive compensation and long-term career development potential.
  • An environment that values innovation, learning, and continuous improvement.

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