Senior Analyst, Data Science Job at Rainmaker Resources, LLC in Cincinnati

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.