25 days ago

Data Analyst

Free-Work

On Site
Full Time
$60,000
Lyon, Auvergne-Rhône-Alpes, France
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Job Overview

Job TitleData Analyst
Job TypeFull Time
Offered Salary$60,000
LocationLyon, Auvergne-Rhône-Alpes, France

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Job Description

Data Analyst - Lyon

Free-Work is seeking an experienced Data Analyst for a long-term mission with a major player in the energy sector in Lyon. You will be responsible for performance and data analysis on large volumes of data.

Your Missions:

  • Analyze and process large volumes of data.
  • Identify anomalies or weak signals autonomously.
  • Produce and present clear and relevant reports.
  • Lead meetings around the analyses conducted.
  • Propose and manage improvement initiatives in collaboration with business and technical teams.

Technical Environment:

  • Excel
  • PowerPoint
  • JIRA
  • Confluence
  • Tableau Desktop

Candidate Profile:

  • Minimum 2 years of experience in a similar role.
  • Strong autonomy in data analysis.
  • Significant experience in reporting and presentation.
  • Ability to prepare and lead meetings.
  • Good interpersonal skills with business and technical stakeholders.

Key skills/competency:

  • Data Analysis
  • Reporting
  • Data Processing
  • Anomaly Detection
  • Tableau Desktop
  • Excel
  • PowerPoint
  • JIRA
  • Confluence
  • Data Visualization

Tags:

Data Analyst
Data Analysis
Reporting
Data Processing
Anomaly Detection
Tableau Desktop
Excel
PowerPoint
JIRA
Confluence
Energy Sector
Lyon

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How to Get Hired at Free-Work

  • Tailor your resume: Highlight your 2+ years of experience in data analysis, reporting, and presenting findings. Emphasize your autonomy and ability to work with large data volumes.
  • Showcase technical skills: Explicitly mention your proficiency in Excel, PowerPoint, JIRA, Confluence, and Tableau Desktop. Provide examples of how you've used these tools.
  • Demonstrate communication abilities: Detail your experience in preparing and leading meetings, and collaborating effectively with both business and technical teams.
  • Prepare for technical and behavioral questions: Be ready to discuss your approach to data analysis, anomaly detection, and how you handle challenges in data-heavy environments.

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