Analytics Engineer
- Merck Sharp
- 3 - 7 years
- Hyderabad
- 9 months ago
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Job Description
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)
Job Classification
Industry: Pharmaceutical & Life SciencesFunctional Area / Department: Data Science & Analytics, Role Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: Merck SharpLocation(s): Hyderabad+ View Contact
Keyskills: Snowflake Databricks AWS Python Data modelling Pyspark SQL
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