Life Sciences Data Analyst

1 week ago


Mumbai, Maharashtra, India beBeeDataAnalyst Full time ₹ 96,00,000 - ₹ 1,54,00,000

About the Role:

Acuitas360 is seeking a skilled professional to join its data analytics team. As an integral member of this team, you will play a vital role in uncovering insights related to performance, account uptake, and execution productivity within the life sciences industry.

Key Responsibilities Include:

  • Develop strong understanding of various life sciences data sources, including sales, retail, specialty pharmacy, HCP/HCO calls, and non-personal promotion.
  • Design complex incentive compensation plans, perform territory alignments, field force sizing and structure, and segmentation and targeting strategies.
  • Conduct exploratory and targeted data analyses using tools like Excel-VBA, SQL, and Python to support decision-making across commercial and medical strategies.
  • Translate complex data insights into compelling visualizations and presentations using tools such as Power BI, Tableau, and Excel, ensuring clear communication of sales insights and analytics to stakeholders.
  • Enable data-driven decision-making by designing and maintaining data pipelines, ensuring data quality, and supporting business intelligence initiatives.
  • Collaborate with cross-functional teams, including data engineering, domain experts, and client stakeholders, to deliver tailored solutions and actionable recommendations.
  • Participate in client meetings, prepare deliverables, provide status updates, and document processes to ensure seamless project delivery.
  • Contribute to thought leadership and internal knowledge assets in all supported areas.

Requirements:

  • 3-6 years of experience in analytics or consulting roles in the healthcare, life sciences, or med-tech industry.
  • Hands-on experience working with various life sciences data sources such as 867/852, DDD, Xponent, Compass, retail and non-retail, specialty pharmacy, execution, and NPP.
  • Strong technical skills - Excel-VBA, SQL, and proficiency in Power BI, Tableau for visualization.
  • Educational background: MBA, MSc, or equivalent with a Bachelor's or advanced degree in Engineering, Life Sciences, Pharmacy, Statistics, or a related quantitative discipline.
  • Strong problem-solving, communication, and storytelling skills.
  • Exposure to agile project methodologies and the ability to manage tasks across multiple priorities.
  • A proactive mindset, intellectual curiosity, and a passion for improving patient outcomes through data-driven decision-making.

Why This Opportunity?

This role presents a unique opportunity to leverage your analytical skills and drive meaningful change within the life sciences industry. As part of our team, you will have access to cutting-edge technologies and work closely with cross-functional teams to deliver impactful solutions.


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