Utilizes a hypothesis-driven problem-solving approach to design, construct, and rapidly test/iterate exploratory data-mining analyses to reveal insight across the portfolio.
Interprets and communicates insights to product, service and business management.
Works with business leaders to identify and develop metrics and visualizations that will track performance and highlight potential inefficiencies.
Develops in-depth understanding of underlying data, data structures, and business uses of data.
Develop functional understanding of the business and apply towards building business facing marts
Partners with business teams to gather, document and maintain business requirements that will inform data modeling decisions.
Compiles data from various sources into a single, consumable, data set, including design and implementation of data cubes.
Required strong analytical acumen with the ability to uncover insights and create stories by seamlessly integrating a variety of data sources
Proficiency with sophisticated analytics tools and programming languages (e.g., R, Python, SQL, HiveQL) and visualization platforms (Webfocus, Tableau etc)
Knowledge of Big Data landscape as demonstrated through experience or certification. Eg., Hadoop, Spark, Hive, Pig, Impala.
Working Experience in ETL Tools like DataStage, Informatica and procedures including PL/SQL.
Experience with relational databases, OLAP Cubes and data warehousing (Oracle, DB2, Hadoop) preferred
Experience in data mining and root cause analysis preferred
Ability to work in a fast-paced and dynamic environment
Ability to work with large, complex data sets across multiple platforms and design efficient processes to provide accurate and timely information.
Qualifications:
Bachelor's degree in Data Analytics, Computer Science, Information Systems or Business; prior work experience in Business Intelligence preferred.
Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.