Consultant - BI

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 Tableau (primary), along with other BI tools like Power BI or 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

• 2–4 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 Tableau (preferred), Power BI, or Qlik.
• 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 (e.g., Snowflake, Redshift, or BigQuery) is an advantage.
  

• Bachelor’s or Master’s Degree (computer science, engineering or other technical disciplines)