DATA ANALYST

EDUCATION—MINIMUM REQUIRED LEVEL:

• Candidates should hold a technical engineering or computer science degree or statistics or business math. Possessing or pursuing MBA or other relevant professional certification is a plus.

EXPERIENCE—MINIMUM REQUIRED:

• Knowledge in SQL, PL/SQL, Tableau, Python, R-programming, Visual Basic, and other computer languages.

KNOWLEDGE AND SKILLS 1—REQUIRED:

• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Tableau Expert
• Experience working with and creating data architectures (good to have).
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Demonstrates leadership skills – as shown in the ability to influence others and supervise others directly or indirectly through Project work.
• Exhibits appropriate professional/ethical standards.
• Flexible, with the ability to manage more than one project at a time and agile enough to be deployed to other teams periodically.
• Strong competencies in algorithms and software architecture
• Proficient in Amazon EMR to run Presto and Spark engine
• Knowledge in using AWS cloud and its resources/services
• Strong experience in Relational Databases (MySQL, SQL Server or PostgreSQL) and non-relational databases
• Strong experience in real-time data processing and data ingestion
• Strong experience in batch data processing and data pipelines
• Preferably someone with experience with Greenberry and Alteryx

ROSARIO, CAVITE

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