IT Business Intelligence Analytics Manager

2 weeks ago

Burlington, Vermont, United States LabCorp Full time
Job Title: IT Business Intelligence Analytics Manager

LabCorp is seeking a highly skilled IT Business Intelligence Analytics Manager to join our dynamic team in RTP or Burlington, North Carolina. Our goal is to leverage our data assets to create value for the company and its stakeholders.

Job Summary:

The IT Business Intelligence Analytics Manager will lead a team of BI professionals in designing and maintaining business intelligence and analytical capabilities. This includes both new development and ongoing support for various LabCorp Holdings business units.

Key Responsibilities:
  • Lead a team of BI professionals in designing and maintaining business intelligence and analytical capabilities.
  • Support and implement solutions that lead to insightful analytics, make predictions, or generate recommendations using best-in-breed tools.
  • Develop analytical models to predict customer behavior and business events.
  • Work closely with teams to champion informatics-based innovation efforts and execute a prioritized roadmap of experiments that take advantage of business opportunities.
  • Meet with stakeholders, develop positive relationships, and turn problems into projects.
  • Design, develop, implement, and oversee high-end analytical, technology processes, and solutions with a focus on leveraging advanced analytical methods.
  • Build analytical solutions for diverse business areas from value chain to HR by manipulating large data sets and integrating diverse data sources.
  • Develop and score both classification and predictive models.
  • Create information-rich data visualizations and reports from complex data.
  • Build knowledge of healthcare business processes, including billing, results delivery, clinical trials, marketing, diagnostic testing.
  • Perform ad-hoc analysis and develop reproducible analytical approaches to meet business requirements.
  • Ability to gather data, compile information, and prepare reports.
  • Understanding and hands-on use of ETL tooling (Alteryx, Tableau Prep, DataStage, Talend, Glue) and replication processes to centralize and standardize data coming from one or more source system.
  • Management experience building and leading a team of designers for analytical applications.
  • Strong information architecture and visualization skills required.
  • Proficient with user interface design patterns, data visualization, data mining, and/or analytics and standard user-centered design methodologies.
Requirements:
  • Bachelor's degree in Statistics, Engineering, or Computer Science and 4 years' experience OR Master's degree in quantitative field, such as Statistics, Engineering, or Advanced Analytics.
  • Experience leading large-scale data science projects and delivering from end to end.
  • 7+ years of experience using a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations.
  • Experience in advanced machine learning algorithms, deep learning, boosting methods, time series, etc.
  • 5+ years of experience in SQL development.
  • Deep expertise with R, Python, Alteryx, SageMaker, Spark, PySpark. SAS a bonus.
What We Offer:

LabCorp is proud to be an Equal Opportunity Employer. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based on race, religion, color, national origin, gender, family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic.

We encourage all to apply. If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

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