Data Analytics Specialist

Key Skills

Java Programming, Google Dataflow, Python Programming, SQL, Agile methodologies, Azure, AWS, PowerBI, Big Data Technology, Data Modeling, RStudio, Data Lake, ETL frameworks

Job Description

Want to come to work with a smile and leave with one too? In between those smiles, your day consists of working in a global organization, continually learning and collaborating, having stimulating discussions and making impactful contributions!

If that's how you view your career, Colgate is the place to be!

Our trusted home brands, dedicated employees and sustainability commitments make us a company passionate about building a future to smile for our employees, consumers and surrounding communities. Our brand pride fuels a workplace that encourages creative thinking, promotes experimentation and promotes authenticity that has contributed to our enduring success.

If you want to work for a company that lives up to its values, give your career a reason to smile... every day.

 The Data Analytics Specialist supports organization transformation for data-driven decision making and analytics. Develops data pipeline through automation of ingesting data from multiple sources. Transforms raw data into sources for analysis and predictions. than data to support the organization's transformation to data-driven decisions and analytics.

WHAT WILL YOU DO

• Conduct projects of analytical solutions, identify and enable the application of new technologies, aiming at making data available to assist in decision making and in the democratization of data in business areas;
• Align architectures with business requirements;
• Use programming language and tools;
• Identify ways to improve data reliability, efficiency and quality;
• Prepare data for predictive and prescriptive modeling and find hidden patterns using the data;
• Promote and build good practices for collecting and analyzing information.
• Performs other functions assigned to it
• Complies with all policies and standard

REQUIRED QUALIFICATIONS

• Complete Higher Education (preferred in Information Technology, Finance, Statistics or the like)
• Experience in Programming Languages ??(SQL, Python, etc);
• Knowledge in cloud solutions (AWS, Azure, Google, etc.);
• Fluent English

PREFERRED QUALIFICATIONS

• Experience in developing ETL processes;
• Knowledge in data modeling (relational, dimensional);
• Knowledge of Conventional Data Warehouse architecture, in addition to Data Lake;
• Knowledge in Data Visualization tools (DOMO, Google Data Studio, Power BI)
• Excellent analytical skills and power of synthesis, with ability to communicate with internal and external customers.
• Ability to influence.
• Knowledge and domain of BI methodologies, Big Data;