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Snowflake Enterprise Data Lead

This role is for a "Snowflake Enterprise Data Lead" with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Snowflake, SnowSQL, Python, and data management. Experience in Life Sciences Commercial Data Management is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 13, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#Data Management #CRM (Customer Relationship Management) #Python #S3 (Amazon Simple Storage Service) #Cloud #Snowflake #"ETL (Extract #Transform #Load)" #SAS #AWS Lambda #SnowSQL #Data Quality #Lambda (AWS Lambda) #AWS (Amazon Web Services)
Role description
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Role: Snowflake Enterprise Data Lead

Location : Remote
• Overall, 12 plus years of IT experience as Senior lead with Snowflake who understands Star Schema Methodology Good SnowSQL Coding experience on Snowflake along with Python experience
• Responsible for optimizing the way organizations analyze and use information
• Developing, optimizing, and overseeing a data model
• Demonstrating technical knowledge through code, solution architectures, and implementation recommendations
• Extracting business requirements from customers and translating them into documents
• Ensuring data quality and accessibility
• Experience on cloud like AWS with services such as S3, AWS Lambda, EFS is good to have
• Data Domain Knowledge in Life Sciences Commercial Data Management is good to have
• Strong knowledge of pharmaceutical data including an understanding of field sales roles including sales, managed markets, account-based teams, etc.
• Ability to understand the impact of alignment data changes and provide recommendations to team members about alignment best practice
• Pharmaceutical Commercial and Sales Operations group, including insights around Sales (Demand vs Forecast, Normalized Units), Channel Performance, Inventory (Days on Hand, Channel vs Warehouse), Calls (Reach, Frequency, Adherence)
• Processes & data related to Sales, Sales Operations, Marketing, Market Access etc. (e.g. Direct Sales, Self-Dispensing Pharmacy, Competitor Sales, Prescription, Shipment, Distribution Channel, CRM, Incentive Program, Physician Affiliations, Pricing decisions, Payer contracts, Speaker Program, etc.).
• Knowledge of applications related to Commercial organization (e.g. IMS, SPP, SD, Direct Sales, Self-Dispensing Pharmacy, Shipment, Veeva, Speaker Program, SAS, etc)