Verified Job
Marketing
Product Marketing Data Analyst (Sambhajinagar)
Marketing
#782911
Remote / WFH
DHR Holding India
Job Description
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.
Responsibilities
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.
Competitive Intelligence
- Research available tools for Competitor reporting (Crayon, LinkedIn, Alpha Sights).
Continuous Learning and Development
- Stay abreast of industry trends, best practices, and emerging technologies in data analytics.
- Participate in training programs and career development opportunities.
- Share knowledge and insights with colleagues to foster a culture of continuous learning.
Qualifications and Requirements
- 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
This role will report to the Senior Director of Global Product Marketing.
Responsibilities
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.
Competitive Intelligence
- Research available tools for Competitor reporting (Crayon, LinkedIn, Alpha Sights).
Continuous Learning and Development
- Stay abreast of industry trends, best practices, and emerging technologies in data analytics.
- Participate in training programs and career development opportunities.
- Share knowledge and insights with colleagues to foster a culture of continuous learning.
Qualifications and Requirements
- 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
