Product Marketing Data Analyst - Fresher

About the job:

This job is with Danaher, an inclusive employer and a member of myGwork the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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 Palls 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.
• Develop workflows to automate data collection and processing tasks.
• Partner with business unit product management, sales and operations teams to evaluate opportunities for improvement in KPI tracking, tools, and standard work.

Pricing Initiative:

• Develop tools to standardize price metric tracking (leading and lagging indicators) across business units
• Create templates to support BU marketing teams with price planning (price performance curves, average sell prices, and distribution curves) so they can make more informed recommendations to optimize price lists and discount matrices
• Research and monitor relevant indices to support price increase recommendations for cross BU portfolios

Proxy

• Ensure timely tracking of proxy data on a quarterly basis
• Develop templates so that BU Marketing can communicate Pall vs. proxy performance and

recommended actions to relevant stakeholders

• Research available tools for Competitor reporting (Crayon, Linked In, Alpha Sights)

Continuous Learning and Development

• Stay abreast of industry trends, best practices, and emerging technologies in data analytics.
• Participate in training programs and professional development opportunities.
• Share knowledge and insights with colleagues to foster a culture of continuous learning.

The essential requirements of the job include:

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field.
• Proven experience in data analysis, business intelligence, or related roles.
• Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.).
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and presentation abilities.
• Ability to work independently and collaboratively in a fast-paced environment.
• Experience with data visualization tools (e.g., Tableau, Power BI, etc.) is a plus.
• Knowledge of machine learning and data mining techniques is desirable.

Pall Corporation, a Danaher company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether its a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at danaherbenefitsinfo.com.

Join our winning team today. Together, well accelerate the real-life impact of tomorrows science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

For more information, visit www.danaher.com.

Who can apply:

Only those candidates can apply who:

Salary:

Competitive salary

Experience

No experience required

Deadline:

2035-01-01 00:00:00