Associate Specialist Data Analysis

Job Description

Associate Specialist Data Analysis

Responsibilities of the Candidate:

• 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 specificities 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

  
  
  

Requirements:

• B.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or related field

  
  
  

• 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, Databricks, 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

  
  
  

• Experience in analytics use cases focused on informing marketing strategies

  
  
  

Required Skills:

Amazon Web Services (AWS), Applied Engineering, Biopharmaceutical Industry, Business Intelligence (BI), Cloud Infrastructure, Computer Science, Data Management, Data Management Platform (DMP), Data Modeling, Data Visualization, DevOps Engineering, Marketing, Marketing Data Analytics, Marketing Management, Marketing Strategies, Measurement Analysis, Python (Programming Language), Stakeholder Relationship Management, Waterfall Model

Preferred Skills:

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Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

05/12/2026

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