Bristol Myers Squibb - Data Analyst II

Key Responsibilities :

- Apply SQL and Python skills, along with therapeutic area knowledge, to conduct exploratory analysis on pharma datasets (e., patient claims, sales, payer), build reports from scratch, and recommend dataset applications for existing or new use cases.

- Collaborate with data ingestion teams to ensure integration of commercial datasets from providers like IQVIA and Symphony follows best practices and includes appropriate quality

checks.

- Apply AWS services (Glue, Lambda, S3) to support the development and maintenance of

scalable data solutions.

- Translate business requirements into technical specifications and mock-ups, applying best

practices and an enterprise mindset.

- Support automation and innovation efforts by leveraging GenAI tools and scalable

frameworks to enhance analytics delivery.

- Contribute to data quality efforts by applying and enhancing existing QC frameworks to

ensure reliability and consistency across domains.

- Partner with cross-functional teams-including data engineering, forecasting, and therapeutic

area leads-to align on business rules and metric definitions used in building patient journey,

market access, and adherence solutions.

- Assist in data strategy activities such as brand planning, data budget forecasting, and

Statement of Work (SoW) management.

- Ensure adherence to data access protocols and compliance standards, especially when

working with sensitive patient-level data.

Qualifications & Experience :

- Bachelor's or master's degree in engineering, Statistics, Data Science, or a related field.

- Minimum 4-5 years of experience in a Data Analyst role within the biopharma or pharmaceutical industry.

- Prior experience working with commercial real-world data, including prescriptions, claims, and sales datasets.

- Strong analytical and problem-solving skills with the ability to interpret complex data and

deliver actionable insights.

- Effective communication and stakeholder management skills with ability to work

independently or collaboratively, manage multiple priorities, and deliver with integrity,

urgency, and accountability.

- Strong proficiency in SQL and Python.

- Strong proficiency and hands-on experience with BI tools including Power BI and Tableau.

- Exposure to platforms such as Domino and Databricks with experience using Redshift and

Snowflake is a plus.

- Familiarity with AWS services (Glue, Lambda, S3) and cloud-based data engineering practices

is a plus.

- Experience with GitHub, JIRA and Confluence is a plus.

- Understanding of Data Architecture, ETL processes and data modelling is a plus.