Senior Associate, Data Engineering - Job Description
Role: Senior Analyst
Job Type: Full-Time
Location: Remote
Night Shift Support: 6pm to 3am IST (preferred) Or4pm to 1am IST (mandatory)
Experience: 4+ years
The Opportunity:
We are seeking a highly organized and detail-oriented teammate to join our Data Management & Operations group.
Key Responsibilities
Data Strategy & Operations
-
Leverage expertise in data modeling, analysis and data management
-
Review business requirements with partners and upstream data provider teams to ensure the data availability, quality and readiness.
-
Provide data driven recommendations to refine use case scope, targeting logic and expected business value.
-
Perform ad hoc data analysis using Excel, AWS and other tools to support real-time decisions.
-
Collaborate with dependent teams and stakeholders to ensure accurate, actionable data for development projects.
Stakeholder Management & Collaboration
-
Communicate effectively across cross-functional teams to address data needs.
-
Co-ordination and collaboration with multiple stakeholders
-
Engage with Business/TA, Marketing, and Product stakeholders to understand the rationale, value added and prioritize tasks with the expected outcome of the NBA use case.
-
Deliver polished presentations and address inquiries from stakeholders confidently.
Domain Expertise
-
Apply pharmaceutical industry expertise, including data on claims, sales, market landscape, and clinical trials.
Business continuity
-
Conduct regular check-ins with the Subject Matter Experts (Sales, Claims, SP, etc.) and other functional teams to stay informed on upstream changes, proactively preparing the NBA downstream team for necessary data adaptations.
-
Coordinate release planning and communication across all dependent teams.
-
Strong problem-solving skills with a meticulous focus on quality and accuracy.
-
Uphold best practices in data governance and analytics organization-wide.
Technical Skills
-
Data Analysis: Proficient in Excel and SQL.
-
Programming: Python knowledge is desirable.
-
Cloud Platforms: Experience with AWS, Google Cloud, or Dataiku.
-
Domain Knowledge: Expertise in US Pharma operations and data modeling.
-
Data Assets: Familiarity with secondary datasets, including IQVIA Sales, 867 data, LAAD Claims, Affiliations, CRM Interactions, Veeva CRM, and Medical Clinical data.
Experience & Background
-
Total Experience: 4+ years of experience in Analytics/Consulting with very good communication skills
-
Industry Experience: 2-3 years in Pharma/Biotech/Healthcare.
-
Education: B.Tech/B.E, Master’s degree (certifications in data-related analytics fields are additional advantage).
