6 дней назад
Associate Consultant (Life Sciences)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Associate Consultant (Life Sciences): Supporting business analytics, project coordination, reporting, and stakeholder management for life sciences consulting initiatives with an accent on data analysis, operational execution, and client deliverables. Focus on building dashboards and presentations, coordinating cross-functional milestones, and solving process and reporting issues using Excel and SQL, Python, Tableau, or Power BI.
Location: Hybrid in Bangalore or Pune, India
Company
helps life sciences companies navigate healthcare complexity through analytical expertise and innovative technology.
What you will do
- Support projects, operational activities, and client deliverables across multiple functions.
- Collect, organize, analyze, and maintain data, reports, and documentation.
- Prepare dashboards, presentations, status updates, and reports for internal and external stakeholders.
- Coordinate cross-functional tasks and project milestones, track progress, and support issue resolution.
- Document meetings, follow up on action items, and contribute to process improvement initiatives.
- Manage multiple assignments while maintaining quality, accuracy, and timelines.
Requirements
- Bachelor’s or Master’s degree.
- 2.5+ years of experience in consulting, analytics, life sciences, or a comparable delivery-focused role.
- Hands-on Excel experience and proficiency in at least one of SQL, Python, Tableau, or Power BI.
- Strong analytical, problem-solving, organizational, communication, and stakeholder management skills.
- Ability to work independently and collaboratively, manage priorities, and learn new processes and tools quickly.
Nice to have
- Understanding of the life sciences domain.
- Experience working with cross-functional and global teams.
- Ownership, accountability, and a solution-oriented mindset focused on continuous improvement.
Culture & Benefits
- Collaborative, values-driven working environment.
- Emphasis on technical excellence and analytical rigor.
- Opportunities for personal growth and exposure to AI innovation, commercialization strategies, and data-first life sciences solutions.
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