Overview

Summary: The Business Intelligence Supervisor is responsible for supervising, prioritizing and/or hands on execution of data analytics projects and additional support of performance measures, ongoing measurement, data collection, reporting, data visualizations and information dissemination. The Business Intelligence Supervisor is responsible for supporting and overseeing the portfolio of projects in development and ensuring completed projects are supported as needed by the data analytics team.

Responsible for collaborating with other departments to structure the design and maintenance of business intelligence applications. Identifies, researches, and resolves technical problems. Ensures that the use of business intelligence applications enhances clinical & business decision making capabilities. Contributes to complex aspects of a project. Work is generally independent and collaborative in nature. Engages in data exploration exercises with a variety of complex business intelligence tools, requiring knowledge of relational database structures.

Internal Job Description

Essential Functions:

• Supervise the activities of full time employees and/or contractors assigned to data analytics projects
• Manages the portfolio of data analytics projects at FDBT and communicates project needs, risks and progress
• Establish and recommend data analytics project priorities to the Head of PM and SLT
• Support global data governance processes
• Develop and execute data analytics projects
• Utilize company resources across departments and sites to curate data
• Analyze data for trends and patterns and report those findings to stakeholders
• Generate reports and dashboards and transfer to super users
• Train and provide technical support to super users
• Coordinate with other departments and sites to develop and implement new data collection models
• Perform data profiling to identify anomalies
• All other duties as assigned

Required Skills & Abilities:

• Strong Working knowledge of relational database design and data management concepts

• Create data models using tools using software applications such as Python, SAS, Alteryx or equivalents for visualization in Tableau, Smartsheet, Power BI, or equivalent

• Translate data into dynamic dashboards

• Knowledge of databases such as Microsoft SQL, MySQL, PostgreSQL, or equivalent

• Efficiently manage projects in fast-paced environment

• Provide site-level leadership on data management and architecture and align with global data initiatives

• Ability to mentor a team and engage them with positive and constructive feedback

• Ability to work professionally and collaboratively within a team and/or with other departments at FDBT and across other sites

• Strong written and oral communication skills

• Familiarity with data collection software and protocol

• Experience integrating new software and programs to data services

• Capable of prioritizing multiple projects while still achieving deadlines

• Excellent analytical and forecasting ability

• Understanding of current data protection and privacy laws

Working Conditions & Physical Requirements:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to:

• Experience prolonged sitting, some bending, stooping and stretching.
• Use hand-eye coordination and manual dexterity sufficient to operate a keyboard, photocopier, telephone, calculator, and other office equipment is required.
• Compliance with Flexible Work Policy

Minimum Qualifications:

• Master’s Degree preferably in Data or Computer Science, Engineering, Mathematics, Statistics or other scientific field field with 4 years of experience
• Bachelor’s degree preferably in Data or Computer Science, Engineering, Mathematics, Statistics or other scientific field field with 6 years of experience
• Minimum of 2 years previous supervisory or lead experience

Preferred Qualifications:

• Certifications in data science, analytics, or computer science