Your specific responsibilities will include :
- Hands-on development of last-mile data products using the most up-to-date technologies and software / data / DevOps engineering practices
- Enable data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way
- Develop deep domain expertise and business acumen to ensure that all specificalities and pitfalls of data sources are accounted for
- Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts and visualization developers on how to use these data models
- Develop analytical data products for reusability, governance and compliance by design
- Align with organization strategy and implement semantic layer for analytics data products
- Support data stewards and other engineers in maintaining data catalogs, data quality measures and governance frameworks
Education :
B.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or related fieldRequired experience :
3+ years of relevant work experience in the pharmaceutical / life sciences industry, with demonstrated hands-on experience in analyzing, modeling and extracting insights from commercial / marketing analytics datasets (specifically, real-world datasets)High proficiency in SQL, Python and AWSGood understanding and comprehension of the requirements provided by Data Product Owner and Lead Analytics EngineerExperience creating / adopting data models to meet requirements from Marketing, Data Science, Visualization stakeholdersExperience with including feature engineeringExperience with cloud-based (AWS / GCP / Azure) data management platforms and typical storage / compute services (Databricks, Snowflake, Redshift, etc.)Experience with modern data stack tools such as Matillion, Starburst, ThoughtSpot and low-code tools (e.g. Dataiku)Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholdersExperience in analytics use cases of pharmaceutical products and vaccinesExperience in market analytics and related use casesPreferred experience :
Experience in analytics use cases focused on informing marketing strategies and commercial execution of pharmaceutical products and vaccinesExperience with Agile ways of working, leading or working as part of scrum teamsCertifications in AWS and / or modern data technologiesKnowledge of the commercial / marketing analytics data landscape and key data sources / vendorsExperience in building data models for data science and visualization / reporting products, in collaboration with data scientists, report developers and business stakeholdersExperience with data visualization technologies (e.g, PowerBI)Skills Required
Cloud, Sql, Python, Aws, Data Modeling