Data Analyst II

Duties: The ideal candidate has experience applying data science to impact business outcomes, and enjoys pushing the boundaries to innovate. You will conduct analyses utilizing a variety of statistical methods, and build automated reports and tools for viewing data. The goal will be to support Workplace Effectiveness to make evidence based business decisions that ensure employee productivity and well-being as well as operational efficiency. Working with senior decision-makers in the company, your contributions will have a high level of visibility, and will enable our team to have a profound impact on the global organization. Impact of decisions will contribute to Site Services determining how to shape (USD)1B+ worth of capital by 2022. Responsibilities Leverage data to Client patterns and solve strategic analytic business problems Execute sophisticated analyses that result in actionable recommendations Collaborate with subject matter experts across WE and the business Contribute to data integrity and data forensics efforts Define requirements and work with local and global Informatics (IT) to extend and maintain the Site Services Analytics platform Design and implement self-service reporting tools (e.g. R-Shiny, Tableau, R, Python) Identify opportunities to further build out our IoT strategy Business Experience 5+ years of experience in data related fields - experience with research programs that seek practical/predictive (rather than only statistical) significance is particularly valued Experience working with large, complex data systems to aggregate, organize, and prepare data for use in business analysis Extensive background in data mining and statistical analysis to drive insights from data Demonstrated experience in bridging business requirements and technical development Skills: Specialized Knowledge / Skills Data-oriented scripting (e.g. SQL) and statistical programming (e.g., R, with Python as a plus) Classical statistics Experimental design and analysis, including validating questionnaires, and designing surveys Developing shared code (e.g., version control, programming patterns, libraries/packages) and creating data pipelines Experience building R-Shiny apps Desirable (not required) Experience using web services, such as AWS, and big data toolkits Machine learning approaches to fitting models (e.g., ensembles, bootstrapping) and estimating their performance (e.g., cross-validation) Architecture background/experience working with architects, space planners and interior design specialists Experience working with HR / organizational people data Publically available examples of code (github, etc) or projects (websites, decks, publications) Education: Degree in Computer Science, Engineering, Psychology, Statistics, or related technical field or equivalent experience Languages: English Read Write Speak Skills: RequiredSCRIPTINGSTATISTICAL ANALYSISDATA SCIENCESQLSTATISTICAL PROGRAMMINGAdditionalDATA ANALYSTREPORTING TOOLSVERSION CONTROLARCHITECTUREDATA INTEGRITYESTIMATINGEXPERIMENTAL DESIGNFORENSICSINTERIOR DESIGNMACHINE LEARNINGSENSORTABLEAU SOFTWAREWEB SERVICES