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
Bachelor's or Master's Degree (computer science, engineering or other technical disciplines)(ref : hirist.tech)
Skills Required
BigQuery, Power Bi, snowflake , Data Profiling, data warehouses , Qlik, Tableau, Data Warehousing Concepts, Redshift, Sql