Senior Business Intelligence Analyst

3 weeks ago


Étreux, Hauts-de-France, United States Tbwa ChiatDay Inc Full time

About the Role:

As a Senior Business Intelligence Analyst at Putnam, you will be responsible for leading and managing Data Analysts and Data Scientists to solve complex analytical problems for clients. You will be instrumental in developing core deliverables of analytics engagements by applying coding and modeling skills. In this role, you will work with the project case team on big data analytics, including:

  • Executing and synthesizing analyses into key findings and actionable recommendations and participating in delivering these recommendations to clients.
  • Overseeing analytical workstreams and driving the standardization and productization of core analytical project types.
  • Coding junior Data Analysts and Data Scientists on project execution and management.

About the Company:

Putnam, an Inizio Advisory company, is a leading scientific and strategic consulting partner that helps the global life science community make confident decisions, build value, and bring life-changing innovations to clinicians and patients.

What We Offer:

We offer competitive salaries ranging from $140,000 - $170,000 per annum, accompanied by exceptional year-end bonuses. Additionally, we provide comprehensive training programs, graduate education tuition reimbursement, 401(k) plans, health, dental, and disability insurance, and 3 weeks paid vacation. Our company values diversity, equity, and inclusion, fostering a culture of belonging and authenticity across all levels.

About You:

The ideal candidate for this position is a highly intelligent and self-motivated individual with a strong work ethic and excellent team skills. Proven analytic experiences, problem-solving skills, team management experience, and a team-oriented attitude are essential. A working knowledge of the pharmaceutical or biotechnology industry is also a prerequisite.

Requirements:

  • Relevant analytical/programming experiences in life science industry, including proficiency in processing and manipulating large data in SQL and Python/R/SAS and Excel (Power Query, VBA).
  • Experiences in statistical testing and machine learning models (e.g., Non-parametric tests, supervised and unsupervised learning, automation learning).
  • Experiences using cloud infrastructure to perform analysis (e.g., AWS, Snowflake).
  • Experiences in data visualization tools (e.g., Tableau, PowerBI, Qlik Sense).
  • Experiences in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data).


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