Job Description
Job Description
The Senior Business Intelligence Analyst applies an analytical mind to turn data into knowledge. By interpreting data to discover patterns and identify trends, he / she will create timely, relevant and actionable insights that will be highly impactful.
The Senior Business Intelligence will be responsible for creating and managing highly intricate data models and data-mining large, complex data sets for opportunities across our portfolio.
Responsibilities
- Utilizes a hypothesis-driven problem-solving approach to design, construct, and rapidly test / iterate exploratory data-mining analyses to reveal insight across the company 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.
- 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 models.
Qualifications
- Bachelor's degree in Engineering, Math, Data Analytics, Computer Science, Information Systems or Business;
- 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.
- Requires 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., SAS, SPSS, R, Python, Alteryx, SQL, HiveQL) and visualization platforms (Tableau)
- 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.
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