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обновлено 25 дней назад

Associate Manager, Business Intelligence (Life Sciences)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
India

Описание вакансии

Текст:
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TL;DR

Associate Manager, Business Intelligence (Life Sciences): Owns and oversees the delivery of BI solutions across Tableau and Power BI platforms with an accent on ensuring high-quality, scalable, and timely delivery of dashboards, reports, and analytics solutions. Focus on overseeing planning, execution, and quality of BI deliverables across multiple workstreams.

Location: Hybrid, Hyderabad, Telangana

Company

Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology.

What you will do

  • Own end-to-end delivery of BI solutions across Tableau and Power BI projects.
  • Oversee planning, execution, and quality of BI deliverables across multiple workstreams.
  • Translate business requirements into scalable BI solutions and clear technical specifications.
  • Establish and enforce BI development standards, QC checklists, and best practices.
  • Act as the primary point of contact for BI delivery status, risks, and dependencies.

Requirements

  • At least 8 years of experience in Business Intelligence and Analytics.
  • Strong hands-on expertise in both Tableau and Power BI.
  • Advanced knowledge of DAX, Power Query (M), and data modeling in Power BI.
  • Strong SQL skills with experience in complex queries and optimization.
  • Solid understanding of data warehousing concepts and BI architecture.
  • Strong stakeholder management and communication skills.

Nice to have

  • Power BI (PL-300) and/or Tableau certification.
  • Experience in Pharma, Life Sciences, or Healthcare analytics.
  • Familiarity with Azure ecosystem (Azure SQL, ADF, Synapse).
  • Exposure to Agile/Scrum delivery models.

Culture & Benefits

  • Join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge.
  • Passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences.