Senior BI Developer (Power BI/Tableau)

TL;DR

Senior BI Developer (Power BI/Tableau): Designing, developing, and optimizing business intelligence tools and data visualization solutions for life sciences companies with an accent on Power BI and Tableau dashboard creation, data management, and performance tuning. Focus on gathering requirements, ensuring data accuracy, and exploring advanced analytics capabilities including AI and machine learning.

Location: Hybrid work in Hyderabad, Telangana or Bengaluru, Karnataka, India.

Company

hirify.global helps life sciences companies optimize commercialization through strategic insight, advanced analytics, and technology, with over three decades of experience.

What you will do

• Design, develop, and maintain Power BI dashboards and reports.
• Create interactive Tableau dashboards to support business needs.
• Gather and normalize data from multiple data sources, ensuring accuracy and consistency.
• Enhance dashboard performance by identifying bottlenecks and implementing solutions.
• Collaborate closely with business stakeholders to gather requirements and deliver actionable insights.
• Explore and implement advanced analytics capabilities such as AI and machine learning within Power BI.

Requirements

• Bachelor’s or master’s degree in Computer Science, Data Science, Information Technology, or a related field.
• 5 to 7 years of experience in Tableau and Power BI.
• Proficiency in creating interactive dashboards and visualisations in Tableau.
• Solid experience in Power BI, including DAX and Power Query.
• Strong SQL skills, including complex queries and calculated fields.
• Experience in the Pharma/Life Sciences industry.

Nice to have

• Certification in Power BI and Tableau.
• Familiarity with advanced analytics tools and technologies.
• Knowledge of Python or R for data analysis.

Culture & Benefits

• Join a highly collaborative, values-driven team where technical excellence and personal growth converge.
• Opportunity to make an impact in AI innovation, commercialization strategies, and data-first solutions in life sciences.
• Work in an environment that values analytical rigor.
• AI tools may be used to support parts of the hiring process, but human judgment makes final hiring decisions.