Senior Data Analyst - Narwal

Responsibilities: 

• 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.

• 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.