Bridgestone Americas and its subsidiaries manufacture, sell and service Bridgestone and Firestone and associate brand tires to meet the needs of their customers, maintaining wholesale and original equipment sales operations across a broad line of products, including passenger, light truck, commercial truck and bus, agricultural, motorcycle, kart and off-the-road tires.

We are committed to Bridgestone Group’s mission, “Serving Society with Superior Quality.” Our goal is to offer the best for our customers and to society, not only in terms of our products, services and technology, but in all our corporate activities.

The Bridgestone Americas international footprint includes manufacturing and sales subsidiaries located in Argentina, Brazil, Chile, Colombia, Costa Rica, and Mexico, with additional offices throughout Latin America and the Caribbean that build the “Bridgestone Americas Tire Operations (BATO-LA)” division, conformed by 5 tire manufacturing and 3 retreading plants throughout the region, 6 commercial and administrative offices; more than 8,500 employees and 2,500 points of sale throughout Latin America, including company's stores and an extensive network of distributors .

Around the world, at Bridgestone, more than 140 thousand collaborators are focused on offering advanced solutions for a world in motion, contributing our experience and innovation to position ourselves as undisputed leaders in Mobility Solutions, guided by the Bridgestone Essence and by our passion to Serve to the Society with Superior Quality.

For more information about our positions visit:

https://www.bridgestoneamericas.com/en/careers

• Define and achieve a strategic roadmap for the enterprise, including data modelling, implementation and data
  management for our enterprise data warehouse and advanced data analytics systems.

• Lead projects around data architecture; identify data sources and building models/reporting to discover insights and opportunities.

• Responsible of data maintenance, cleansing and accuracy of different models and databases

• Drive process improvements, automations, and optimization data projects.

• Responsible for processes and operations related to Finance database warehouse and integration with other systems and data sources.

• A bachelor’s degree in Statistics, Systems Engineering, Data Science or mathematics.
• Experience in leading process improvement projects, Data Management & Analytics.
• Strong technical and analytical skillset. Proficient in data wrangling and cleansing, optimization, simulation, and
  statistical analysis/modelling.
• Proficient in SQL.
• Experience with analytical programming languages such as Python or R.
• Experience with data storytelling and visualization tools like Tableau and Power BI.
• Strong sense of ownership to get the job done practically and pragmatically- critical thinking and ability to solve
  complex problems is a must.
• English advance skills is a must.