Senior Data Analyst
Life360
PythonSQLTableau
Manager/Senior Manager - Data Science, Pharma & Life Sciences
Tiger Analytics
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
PythonSQLTableau
About the role
- Lead and manage data science projects from ideation to execution, ensuring that they meet client needs and deliver impactful results.
- Work closely with clients to understand their business challenges and translate them into data-driven solutions.
- Develop and implement advanced analytics models, including predictive and prescriptive analytics, to drive business improvement initiatives in the Pharma & Life Sciences domain.
- Utilize a variety of data sources, such as patient data, clinical data, and market intelligence, to generate actionable insights.
- Collaborate with cross-functional teams, including data engineers and business stakeholders, to ensure successful deployment of data science solutions.
- Mentor and guide junior data scientists and analysts, fostering a culture of learning and innovation.
- Present findings and recommendations to executive-level stakeholders, effectively communicating complex concepts in a clear and compelling manner.
- Stay updated on industry trends, emerging technologies, and advanced analytics methodologies, and share knowledge with the team.
Requirements
- 8-12 years of professional experience in data science, analytics, or a related field, with significant exposure to the Pharma & Life Sciences sector.
- Strong proficiency in statistical analysis, machine learning techniques, and data mining methodologies.
- Hands-on experience with programming languages such as R, Python, and SQL, as well as familiarity with data visualization tools like Tableau or Power BI.
- Proven ability to work with large datasets and perform complex data analyses.
- Excellent project management skills and the ability to manage multiple projects and priorities effectively.
- Strong problem-solving skills and a detail-oriented mindset.
- Experience in communicating analytical results to senior management and facilitating decision-making processes.
- Master's degree or higher in Data Science, Statistics, Computer Science, or related field is preferred.
