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Analytics Engineer

Analytics Engineer

ConfidentialHyderabad / Secunderabad, Telangana
30+ days ago
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)
  • Skills Required

    Cloud, Sql, Python, Aws, Data Modeling

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