Data Science Developer - Westmont, IL

Primary Responsibilities

• Able to communicate at a very effective and high-level with managers, Sr managers, and executives
• Be the SME for various Reporting implementations especially, Data Science/Analytics related
• May work with Finance and Operations to develop forecasts and capacity models.
• Work with the other Project Managers to ensure assigned milestones are delivered on time, within budget, and it meets or exceeds expectations.
• Follow all quality assurance processes, including periodic reviews and transitions and ensures the end product fulfills the project objectives.
• Prepare Training Material and User Manuals in cooperation with the Business Unit SME
• Assist on other projects as needed, perform other related duties and special projects as required
• Demonstrate professional behavior and teamwork, is punctual, dependable and adheres to company policies and procedures
• Efficient work style with attention to detail and a strong sense of urgency.
• Evidence the ability to work with all levels of management.
• Monitor and report any gaps or risks to decrease or avoid any potential losses
• Accepts other duties as assigned by MIS Manager
• Ability to multi-task more than one assigned project at a time
• Collaborate with management and staff in the development and implementation of all projects and/or initiatives related to operational goals and/or process improvement directives.

Qualifications

• Excellent analytical and problem solving skills.
• Strong data analysis/quantitative/technical aptitude with ability to quickly learn new metrics, processes, and dataset.
• Expert++ level in analyzing data and be able to classify groups, predict trends and get meaning out of data.
• Hands-on experience with one or more statistical analysis tools like R, Python, MATLAB, etc (must have)
• 3-5 years of experience, preferably across diverse Finance/MIS/Analytical and Operations roles.  Proven history of delivering timely, high quality, senior manager-level reporting and analysis from diverse, complex data sources
• Ideal candidate will have strong R/Python/Statistic experience (must have) along with Qlik experience (plus) along with statistical education/experience.
• Experience with other various Business Intelligence toolsets: Qlik, SQL Server Reporting Services (SSRS), Tableau, Cognos, , Business Objects, SAS, etc (will be a plus)
• Some application development exposure such as REACT, JAVA (a plus)
• Strong data analysis/quantitative/technical aptitude with ability to quickly learn new metrics, processes, and datasets
• Excellent communication ability with strong attention to detail
• Ability to gather requirement and be a self starter
• BS/BA in MIS or a quantitative discipline preferred