Product Marketing Data Analyst

1 - 6 years

6 - 9 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

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:
  • Bachelors 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.

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