Back
Tier-1 brand, metro location, mid-level generalist data title, and broad technical skill requirements increase competition.
Analytical and BI skills transfer well, but product-marketing and life-sciences domain knowledge increases specificity.
Requires specific technical skills (SQL/Python/Tableau) and domain knowledge, but no strict years requirement.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own data collection, analysis, and reporting for Product Lifecycle Management, Pricing, and Competitive Intelligence initiatives across multiple business units.
Develop and maintain tools and dashboards to monitor KPIs such as orders, On-Time Delivery (OTD), and Average Order Size (AOS Health), ensuring adherence to standard work and governance.
Collaborate with Product Management, Commercial Operations, Supply Chain, and Customer Service teams to provide actionable insights and recommendations that drive product and pricing optimization.
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field.
Proven experience in data analysis or business intelligence roles; specific years of experience not explicitly mentioned.
Proficiency in data analysis tools and programming languages such as SQL, Python, or R.
Experience with data visualization tools (e.g., Tableau, Power BI) is a plus; knowledge of machine learning and data mining is desirable but not mandatory.
Experienced in managing cross-business unit data workflows and developing standardized reporting tools to support strategic product and pricing decisions.
Comfortable working with multiple stakeholders including Product Management, Sales, Operations, and Customer Service in a fast-paced environment.
Able to translate complex data trends into clear recommendations and automate data processing tasks to improve efficiency.