Senior Business Intelligence Engineer

Profile

Description

The Senior Business Intelligence Engineer solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Senior Business Intelligence Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

Responsibilities

The Senior Business Intelligence Engineer describes the tools, technologies, applications and practices used to collect, integrate, analyze, and present an organization's raw data in order to create insightful and actionable business information. Begins to influence department's strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.

Required Qualifications


Bachelor's degree
5 or more years of technical experience in data analysis
Minimum 1 year of technical experience with modern cloud technology stacks tools such as MongoDB, Graph Databases, JSON, XML, Data Flow, Stream Sets, Cloud Infrastructure, API Design, and end to end testing of new software products and data
Advanced experience in SQL, SAS and other data systems
Proficient knowledge of Microsoft Office Applications including Word, Excel, Access and PowerPoint
Advanced experience working with big and complex data sets
Experience analyzing data to solve a wide variety of business problems and create data visualizations that drive strategic direction
Proficiency in verbal and written communication to senior and executive leadership
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Must ensure designated work area is free from distractions during work hours and virtual meetings
Must provide a high-speed DSL or cable modem for a workspace (Satellite and Hotspots are prohibited). A minimum standard speed of 10x1 (10mbs download x 1mbs upload) for optimal performance of is required


Preferred Qualifications


Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field
Experience with data visualizations tools
Expertise in data mining, forecasting, simulation, and/or predictive modeling
Experience creating analytics solutions for various healthcare sectors
Proficiency in understanding Healthcare related data


Scheduled Weekly Hours

40

Company info

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