Mayara Yukino

Angestellt, Senior Product Data Analyst, iFood
Hamburg, Deutschland

Fähigkeiten und Kenntnisse

Data Analysis
Project Management
Communication skills
Business Contacts
Business Intelligence
Business Analytics
SQL
Python
Microsoft Office
VBA
Agile Methods
Product
Customer insight
Tableau Software
Qlik Sense
Management
Technology
Analytics
ETL
Database
Data Management
English Language
Google Analytics
Python pandas
Data visualisation
Dashboards
Reliability
independent
Responsible
Analytical skills
Enthusiasm
Leadership
attention to detail
Customer orientation
Team work
ability to work under pressure
problem solving skills

Werdegang

Berufserfahrung von Mayara Yukino

  • Bis heute 3 Jahre und 5 Monate, seit März 2022

    Senior Product Data Analyst

    iFood

    Designed end-to-end solutions to develop impactful product features, guiding Product Managers and teams to boost user growth, reduce costs, and enhance GMV. Supported 3k+ sellers and 1.6M+ customers, leveraging SQL and PySpark on Databricks to track KPIs. Presented results to managers, using dashboards to ensure product health. Achievement: Led a project to enhance user retention by identifying key resources, resulting in cost savings and a strategic business shift.

  • 8 Monate, Juli 2021 - Feb. 2022

    Data Analyst

    Ball Corporation

    Structured quality department data and developed end-to-end solutions to provide quality references for global teams in the US and EMEA, improving processes and customer satisfaction. Collaborated with global directors to redesign project KPIs, enabling more strategic decision-making. Led a predictive project to enhance production quality, reduce costs, and increase customer satisfaction in partnership with stakeholders.

  • 9 Jahre und 6 Monate, Jan. 2012 - Juni 2021

    Data Analyst

    Embraer

    Managing and processing reliability data to support engineering teams in improving aircraft performance and leading the development of a global system with airlines across the USA, EMEA, ASIA, and LATAM. Automated processes, reducing labor hours by 60%, and created KPIs to monitor aircraft reliability and performance. Analyzed aircraft metrics to generate insights for engineering using VBA and Python.

Sprachen

  • Englisch

    Fließend

  • Portugiesisch

    Muttersprache

  • Deutsch

    Grundlagen

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