Key Responsibilities:

- Collaborate with internal teams and client stakeholders to deliver Business Intelligence solutions that support key decision-making for the Commercial function of Pharma organizations.

- Leverage deep domain knowledge of pharmaceutical sales, claims, and secondary data to structure and optimize BI reporting frameworks.

- Develop, maintain, and optimize interactive dashboards and visualizations using PowerBI (primary), along with other BI tools like Tableau/Qlik, to enable data-driven insights.

- Translate business requirements into effective data visualizations and actionable reporting solutions tailored to end-user needs.

- Write complex SQL queries and work with large datasets housed in Data Lakes or Data Warehouses to extract, transform, and present data efficiently.

- Conduct data validation, QA checks, and troubleshoot stakeholder-reported issues by performing root cause analysis and implementing solutions.

- Collaborate with data engineering teams to define data models, KPIs, and automate data pipelines feeding BI tools.

- Manage ad-hoc and recurring reporting needs, ensuring accuracy, timeliness, and consistency of data outputs.

- Drive process improvements in dashboard development, data governance, and reporting workflows.

- Document dashboard specifications, data definitions, and maintain data dictionaries.

- Stay up to date with industry trends in BI tools, visualization of best practices and emerging data sources in the healthcare and pharma space.

- Prioritize and manage multiple BI project requests in a fast-paced, dynamic environment.

Qualifications :

- 3+ years of experience in BI development, reporting, or data visualization, preferably in the pharmaceutical or life sciences domain.

- Strong hands-on experience building dashboards using Power BI.

- Advanced SQL skills for querying and transforming data across complex data models.

- Familiarity with pharma data such as Sales, Claims, and secondary market data is a strong plus.

- Experience in data profiling, cleansing, and standardization techniques.

- Ability to translate business questions into effective visual analytics.

- Strong communication skills to interact with stakeholders and present data insights clearly.

- Self-driven, detail-oriented, and comfortable working with minimal supervision in a team-oriented environment.

- Exposure to data warehousing concepts and cloud data platforms (i.e., Snowflake, Redshift, or BigQuery) is an advantage.

Education :