Job Description Summary

Job Description

We are the makers of possible 

BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities. 

We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you’ll be supported to learn, grow and become your best self. Become a maker of possible with us.

Salesforce Data Architect

The US Region Analytics & Insights Marketing Research Team is part of the Commercial & Customer Operations (CCO) organization, responsible for driving a high-performing sales culture, enhancing the capabilities of our sales teams, improve the “One BD” customer experience to accelerate growth and profitability.  
 
Reporting to the Sr. Manager Salesforce Reporting & Analytics, we are seeking a Salesforce Data Architect experienced in:   

• Driving solutions in Salesforce.com reporting and data engineering tools, such as Lightning Reports & Dashboard, Pipeline Inspection, CRM Analytics, Workbench, Salesforce Inspector;  

• Applying knowledge of understanding of the complex data structures, in how they relate to business processes and outcome, to external sales datasets via MS Office Power BI tools, to provide on-demand business insights for forecasting, demand planning, and productivity metrics. 

Responsibilities:

1. Data Engineering: 

• Lend expertise to support the design, development, and maintenance of USR sales data pipelines  

• Ensure the integrity, accuracy, and availability of data across the organization  

• Collaborate with cross-functional teams to ensure master data alignment  
   

2. Analytics Reporting:  

• Support development and implementations of advanced analytics solutions, including predictive analytics, machine learning models, and business intelligence tools, to support decision-making 

• Influence the design and development of dashboards, reports, and visualizations that provide actionable insights to stakeholders 

• Partner with stakeholder teams to identify requirements and establish key performance indicators (KPIs) and metrics that drive productivity and efficiency 
   

3. Collaboration Communication:  

• Partner with business stakeholders and developer teams to understand data needs and translate them into actionable data and analytics solutions 

• Communicate complex data findings and insights in a clear and actionable manner to non-technical stakeholders  

• Promote a data-driven culture across the organization, advocating for the use of data and analytics in decision-making processes