Data Analyst

2 days ago

Hyderabad, Telangana, India Ingenworks Full time US$ 90,000 - US$ 1,20,000 per year

We are seeking experienced 
Data Analysts / Data Engineers
 with strong expertise in 
U.S. pharmaceutical commercial datasets
 to support critical Data Operations initiatives. This role will be focused on 
onboarding third-party data
, ensuring data quality, and implementing outlier detection techniques. Familiarity with 
ML/AI
 approaches for anomaly detection is highly desirable.

Key Responsibilities:

Pharma Data Integration:

Work extensively with 
U.S. pharmaceutical commercial datasets
.

Ingest and onboard third-party data sources such as 
IQVIA, Symphony Health, Komodo Health
 etc.

Ensure alignment of data schemas, dictionary mapping, and metadata integrity.

Data Quality & Governance:

Design and implement 
QC protocols
 for data integrity and completeness.

Track data lineage and maintain proper documentation of data flow and transformations.

Outlier Detection & Analytics:

Apply statistical or algorithmic techniques to identify anomalies in data related to sales, claims, or patient-level records.

Utilize ML/AI tools (if applicable) for automated outlier detection and trend analysis.

Collaboration & Reporting:

Work cross-functionally with business teams, data scientists, and IT to ensure timely delivery of reliable data.

Provide detailed reports and insights for stakeholders to support commercial decision-making.

Required Skills & Qualifications:

3+ years of experience in Pharmaceutical Data Operations, preferably with U.S. market data.

Strong hands-on experience with third-party commercial healthcare data sources (
IQVIA, Symphony, Komodo,
 etc.).

Solid understanding of 
ETL pipelines, data ingestion frameworks, and metadata management
.

Proficient in 
SQL, Python, or R
 for data processing and quality checks.

Experience in o
utlier detection techniques
 – 
both statistical (Z-score, IQR, etc.) and ML-based (Isolation Forest, Autoencoders, etc.).

Familiarity with 
Snowflake, Databricks, AWS, or similar cloud platforms
 is a plus.

Excellent problem-solving, documentation, and communication skills.

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