Analytics Engineer

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 field

Required 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 AWS
• Good understanding and comprehension of the requirements provided by Data Product Owner and Lead Analytics Engineer
• Experience creating / adopting data models to meet requirements from Marketing, Data Science, Visualization stakeholders
• Experience with including feature engineering
• Experience 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 stakeholders
• Experience in analytics use cases of pharmaceutical products and vaccines
• Experience in market analytics and related use cases

Preferred experience:

• Experience in analytics use cases focused on informing marketing strategies and commercial execution of pharmaceutical products and vaccines
• Experience with Agile ways of working, leading or working as part of scrum teams
• Certifications in AWS and/or modern data technologies
• Knowledge of the commercial/marketing analytics data landscape and key data sources/vendors
• Experience in building data models for data science and visualization/reporting products, in collaboration with data scientists, report developers and business stakeholders
• Experience with data visualization technologies (e.g, PowerBI)