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Senior Data Analytics Specialist

2 weeks ago

Pune Hyderabad Secunderabad Telangana, India beBeeDataEngineer Full time US$ 1,20,000 - US$ 2,00,000

We are looking for a skilled professional to play an active role in our organization's transformation journey to become a premier data-driven commercial biopharma company.

As a Data Engineer, you will be part of our Commercial Data Solutions team, providing technical and data expertise to develop analytical data products that enable data science and analytics use cases. In this role, you will create and maintain data assets and domains used in the commercial and marketing analytics space, working closely with data product owners to translate data product requirements into development activities throughout all phases of design, planning, execution, testing, deployment, and delivery.

Your key responsibilities will include:

  • Hands-on development of last-mile data products using the most up-to-date technologies and software engineering practices
  • Enable data science and 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 complexities 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 our organization strategy and implement a semantic layer for analytics data products
  • Support data stewards and other engineers in maintaining data catalogs, data quality measures, and governance frameworks

Education:

  • Bachelor's or Master's degree in Engineering, Computer Science, Pharmaceutical Science, Healthcare, Data Science, Business, or related field

Required skills and qualifications:

  • 3+ years of relevant work experience in the pharmaceutical industry, with demonstrated hands-on experience in analyzing, modeling, and extracting insights from commercial and marketing analytics datasets
  • High proficiency in SQL, Python, and cloud-based data management platforms (AWS, GCP, Azure)
  • Good understanding and comprehension of data product requirements and Agile ways of working
  • Experience creating and adopting data models to meet requirements from stakeholders
  • Experience with feature engineering, data visualization technologies, and low-code tools

Benefits:

  • Opportunity to work with a talented team of professionals in the pharmaceutical industry
  • Challenging projects that align with your interests and skills
  • Career growth and development opportunities

Others:

  • Excellent interpersonal and communication skills
  • Ability to quickly establish productive working relationships with various stakeholders