Business Intelligence and Analytics Manager

  • Cook Myosite Inc.
  • Pittsburgh, PA, USA
  • Nov 12, 2019

Job Description

Cook MyoSite, Inc. is on a mission to make regenerative medicine a part of everyday medicine. We’re investigating our core technology, autologous muscle-derived cells, for the potential treatment of several muscle-related disorders. We at Cook MyoSite have the potential to make a difference in the lives of countless people around the world, and we also have the potential to make a difference in yours. Joining our team is an opportunity to ignite your passion, grow your potential, and define your purpose. If you’re curious, motivated by helping others, and driven by integrity, we invite you to apply. The Business Intelligence and Analytics Manager at Cook MyoSite is responsible for empowering departmental resources with the tools, knowledge, and data to perform their duties efficiently and enable intelligent data-driven decision making. Responsibilities Manage a team of data professionals to support the development and administration of company’s data warehouse and analytic platform tools Act as system owner for full stack of Business Intelligence solution suite, processes, operating procedures and maintenance Establish Statistical Process Controls, identify key manufacturing metrics and process improvements, and enable improved metric and reporting capabilities Provide forecasting, simulations and optimization strategies as requested by department leads Provide statistical guidance and data mining analysis Assist in data analysis, data summary and interpretation of results, and formulation of appropriate recommendations Interface across all departments to assist in the identification of improvement opportunities, eliminate process redundancy, reduce cost, and facilitate more efficient use of resources Ensure and maintain open communication with other departments for realization of department and company goals Function as a key stakeholder in all company electronic records and data management initiatives Mentor colleagues on both the technical and business aspects of data projects and statistical work Assists in the evaluation and transfer of new technology and processes related to data management Ensure accuracy and integrity of all work performed within department Work with executive management to align strategic objectives and priorities, and establish timelines in support of new and ongoing department projects Shall act as management and function in a leadership role Participate in the hiring, development, retention and optimal performance of staff for the leadership and execution of operations Maintain regular and punctual attendance Obtain ongoing industry related education and attend appropriate conferences and workshops Must maintain company quality and safety standards Qualifications Direct previous experience, Bachelor's degree or advanced degree in Mathematics, Physics, Engineering, Information Systems, Computer Science, Business Administration, or other quantitative discipline 3+ years interfacing with database systems (e.g. MySql, SQL Server, OLAP) or related technology, and preparing, collecting and validating data 3+ years experience in the development and maintenance of BI reporting applications, such as Power BI, SSRS, Qlik, Tableau, Cognos, etc. 3+ years experience in working with data migration and ETL tools; SSIS preferred 2+ years experience in a management role over data professionals, with ownership over data warehouse and application servers Experience with traditional statistical software tools (e.g. JMP, SAS, R, Minitab) and programming languages (e.g. C, C++, C#, Perl, Python, Java, etc). Experience in exploring data using analytical as well as graphical tools for relationships, patterns or effects Ability to exercise sound judgment in conducting and interpreting scientific research Familiar with emerging data mining and multivariate techniques and methods, with a penchant for continuous learning in related areas of research (PCA, PLS, Clustering, graph search, regression, random forests, forecasting, Bayesian statistics, neural networks, cluster analysis, natural language processing, and Monte Carlo methods) Working Knowledge in Lean Six Sigma Process Willingness and capability to handle multiple projects and responsibilities Excellent written and verbal communication skills; ability to apply established scientific principles, theories and concepts in area of responsibility and experience in writing protocols and other technical documents Demonstrates potential for technical proficiency, independent thought, problem-solving, and scientific creativity Must work and interact effectively and professionally with others Ability to effectively collaborate and communicate with other departments/groups Must have effective oral and written communication skills Excellent problem solving skills and ability to work in collaborative and independent work situations and environments with minimal supervision Experience communicating findings via academic journals, white papers, or other key stakeholders Physical Requirements: Office, warehouse and laboratory setting with potential (limited) exposure to hazardous chemicals and/or harsh disinfectants while in BioSafety Level II Ability to conduct and hear ordinary conversation and telephone communication Visual and manual acuity for working with computers and equipment Must be able to work extended hours beyond normal work schedule to include, but not limited to, evenings, weekends, extended work hours and/or extra work hours, sometimes on short notice as required Ability to work under specific time constraints Must be able to sit at desk, in meetings and/or work on a computer