Digital and Data Science BA

Responsibilities:
·        Execute early-stage data experiments, emphasizing Proof of Concept for robust insights
·        Analyze and manipulate data sets using SQL and Python to derive meaningful conclusions
·        Conduct exploratory data analysis and hypothesis testing to extract valuable insights
·        Translate intricate data findings into compelling stories for a diverse stakeholder audience
·        Develop impactful visualizations and reports, ensuring effective communication of findings
·        Present clear recommendations, catering to audiences with varying technical backgrounds
·        Collaborate cross-functionally to align data experiments with strategic business goals
·        Ensure data quality and accuracy through documented cleaning and preprocessing processes
·        Regularly update project status for diverse audiences, including upper management, utilizing professional communication and presentation skills
Qualifications:
·        A minimum of a Bachelor’s degree and 5 years of business experience required
·        A minimum of a Bachelor’s degree in Engineering, Computer Science, Applied Mathematics, Business or related field with a focus on data science / advanced analytics / AI / machine learning is preferred
·        Professional or didactic application of Microsoft Office software (e.g. Outlook, Word, PowerPoint, Excel, OneNote, Teams, SharePoint) is required
·        Strong written communication skills (e.g. Ability to present well-written reports, PowerPoint presentations, facilitate discussions, and navigate difficult conversations) is required
·        Quality System & Compliance, Deliver, Procurement, External Manufacturing, ERP, Non-ERP, BOM data and Medical Device experience is preferred
·        Experience using Jira, Confluence, Python, Pandas, Databricks, PySpark, SQL, and preferred
·        Ability to analyze and understand complex data sets is required
·        Experience working with digital, analytics, and data science projects is required
·        Proven ability to work successfully in a highly matrixed organization is preferred
·        Ability to work efficiently with general or limited supervision, self-learn, and self-seek solutions is required