Boston Scientific-posted 2 months ago
$103,700 - $197,000/Yr
Full-time • Mid Level
Hybrid • Marlborough, MA
5,001-10,000 employees

The Talent and HR Analytics function at Boston Scientific is seeking a client-centric analytics professional. Seated within the Organization Transformation team , this role will be focused on delivering data-driven insights that enable Boston Scientific leaders to proactively plan their talent needs; evaluate the effectiveness of workforce attraction, development, and engagement initiatives; identify past and future trends; and make informed human capital decisions that drive ongoing business success. Primarily acting as an organizational researcher, this role provides the Talent Analytics & Insights group with technical expertise, developing analytical models with practical, valuable applications in areas such as strategic workforce planning, attracting and retaining talent, diversity & inclusion, employee engagement, high-potential talent identification & development, and employee development. As a data-driven organization, this role is critical to progressing our analytical maturity, fully utilizing our HR data lake to predict future trends, identify leading indicators, define data limits, and evaluate program success. At Boston Scientific, we value collaboration and synergy. This role follows a hybrid work model requiring employees to be in our local office at least three days per week. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time. Relocation assistance is not available for this position at this time.

  • Be a technical expert, fluent in the language of data and quickly able to translate a client question into a research question
  • Use your technical expertise in data science to lead the prediction and forecasting workstream and build capabilities within HR and cross-functionally using HR data
  • Serve as an expert advisor to Talent Analytics team members, consulting on research study design methodologies and conducting analyses based on available data
  • Perform deep-dive analyses using traditional statistical, supervised, and unsupervised machine learning techniques to deliver insights on root causes and make continuous improvement recommendations
  • Act as the TA&I data steward, identifying data quality challenges and working with business process owners to drive data consistency
  • Provide SME expertise in the design and management of qualitative and quantitative data collection to maximize value from our HR data lake
  • Proactively identify research opportunities by mining data to provide practical talent insights to the business
  • Join and contribute to collaborative forums within Boston Scientific, sharing methodologies and expertise across functions
  • Integrate workforce planning and data elements into Boston Scientific's planning ecosystem, challenging assumptions before they are systemized
  • Bachelor's degree
  • Minimum of 3 years' experience delivering value in analytics roles
  • Minimum of 2 years' experience conducting analyses for workforce planning or predicting supply and demand using supervised and unsupervised machine learning
  • Experience in predictive modeling, natural language processing, and forecasting methods
  • Proficiency in R
  • Experience with data cleaning, validation, and integration from multiple data sources
  • Strong problem-solving and analytical skills
  • Experience presenting insights clearly and effectively to stakeholders
  • Strong written and verbal communication skills
  • Ability to work collaboratively in a global matrixed organization
  • Experience at organizations with progressive People Analytics practices
  • Experience using Athena, SQL, Tableau, and Excel
  • Master's or PhD-level coursework or degree in Business Analytics, HRM/People Analytics, or I/O Psychology
  • Experience designing and administering surveys at the business unit or enterprise level
  • Background in competency modeling and assessment validation
  • Experience using RPA, AI, or other advanced analytics technologies
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