Data Analyst - Shanghai, 中国 - EssilorLuxottica

描述

WHO WE ARE

We are EssilorLuxottica, a global leader in the design, manufacture and distribution of ophthalmic lenses, frames and sunglasses. The Company brings together the complementary expertise of two industry pioneers, one in advanced lens technologies and the other in the craftsmanship of iconic eyewear, to create a vertically integrated business that is uniquely positioned to address the world's evolving vision needs and the global demand of a growing eyewear industry.

With over 180,000 dedicated employees in 150 countries driving our iconic brands, our people are creative, entrepreneurial and celebrated for their unique perspectives and individuality. Committed to vision, we enable people to "see more and be more" thanks to our innovative designs and lens technologies, exceptional quality and cutting-edge processing methods. Every day we impact the lives of millions by changing the way people see the world

Responsibilities:

A Data Analyst plays a crucial role in helping the organization to make informed decisions by collecting, analyzing, and interpreting data.

1. Data Collection and Analysis:

Undertake data collection from multiple sources, including primary, secondary, internal, and external sources.

Generate relevant data for analysis, ensuring accuracy and completeness.

Utilize statistical tools and computer software to analyze and interpret collected data.

2. Pattern Identification and Visualization:

Interpret raw data to identify patterns and trends.

Create visualizations such as dashboards, flowcharts, and graphs to convey business concepts to non-technical stakeholders.

3. Coding and Database Maintenance:

Code and re-code data within various databases to uncover insights.

Maintain databases or data systems.

Identify process improvement opportunities.

Requirements:

Minimum 3 years work experience (Bachelor's degree preferred).

Strong analytical skills and proficiency in statistical tools.

Attention to detail and ability to communicate complex findings to non-technical audiences.

English skills