M/F

Mission:

As a Data Analyst, you will play a central role in supporting strategic planning and improving business analysis, predicting outcomes, and understanding complex data relationships.

Your mission will be to support strategic planning and improve business analysis, predicting outcomes and understanding complex data relationships.

Work closely with business users to understand the questions they want to answer with data, propose and design possible solutions, and work together with other teams to implement those solutions.

MAIN RESPONSIBILITIES:

Define, execute data analysis to make recommendations to support decision making
Collaborate with cross-functional stakeholders to formulate and complete full cycle analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations
Develop and automate reports, and dashboards to provide insights at scale to define business priorities, and to provide valuable information to stakeholders and leadership
Verify, validate data accuracy and reports to provide a high quality of standards to provide a high quality of standards
Optmize Internal business processes to increase operational efficiency across all platforms
Contribute to building a strong data-driven culture.

PROFILE:

Degree in Mathematics, Economics, Engineering, or equivalent fields of study
A professional with +3 years of experience with data analytics
Interest and experience in data, metrics, analysis, and trends and applied knowledge of measurement, statistics, and program evaluation
Experienced in leveraging data and analytics to solve real-world problems and create new solution. This requires a strong understanding of business processes and data flows.
Experience with Excel, Power BI and SQL
Familiarity in Python to the extent of delivering the same analysis you could do in SQL and a BI tool, and knowledge of Algorithms in Retail is a nice-to-have
An excellent communicator with presentation skills
Ability to work in a fast-paced environment
Critical thinking
Problem-solving aptitude.

Parfois

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Data Analyst