Product Marketing Data Analyst

Find what drives you on a team with a more than 75-year history of discovery, determination, and innovation. As a global leader in high-tech filtration, separation, and purification, Pall Corporation thrives on helping our customers solve their toughest challenges. Our products serve diverse, global customer needs across a wide range of applications to advance health, safety and environmentally responsible technologies. For the exponentially curious, Pall is a place you can thrive and amplify your impact on the world.

Pall is one of 10 Life Sciences companies of Danaher. Together, we accelerate the discovery, development and delivery of solutions that safeguard and improve human health.

Learn about the Danaher Business System which makes everything possible.

Start with an inviting tag line: Are you looking to use your skills and passion for data to help drive impactful decisions at a top material science company?

We are seeking a talented and detail-oriented Data Analyst to join the Central Marketing team to support Pan-Pall product marketing initiatives including Product Lifecycle Management, Pricing and Competitive Intelligence. As a Data Analyst, you will be responsible for collecting and interpreting data, analyzing results, and providing actionable insights to drive informed decision-making across Pall. You will work closely with key stakeholders in Pall’s 4 Business Unit Product Management teams, Commercial Operations and Supply Chain, and Customer Service to understand data needs, develop reports and dashboards to present findings in a clear and concise manner and recommend actions based on trends. This role will report to the Senior Director of Global Product Marketing.

Key Responsibility Areas

Product Lifecycle Management

• Track and monitor key performance indicators (i.e. orders, OTD, AOS Health) from various sources (SFDC, SAP) to determine initiative progress and ensure Business Units follow standard work and governance.

• Analyze data for trends and make insightful recommendations to drive standard products and improve OTD.

• Maintain cross-business unit tools (crossover tools, product & sales rep trackers, and product dashboard) for easy access to product classification, lead time, status and inventory.