Clarivate Analytics is looking for a curious, creative, team worker and detail-oriented individual for the role of a Analyst. In this role, you will work with a team of data scientists to mine and make sense of three large, distinct datasets that focus on three different aspects of the US healthcare market: hospital purchasing, hospital claims and EHR (electronic health records). If you re interested in working directly with major MedTech competitors and enjoy working with complex and Real-world datasets, this is a great opportunity.
About You - experience, education, skills, and accomplishments
- You are passionate about data and have at least 2 years of hands-on experience wrangling through large data using SQL and at least 2 years of experience on data analysis tools like python/R..
- Engineers (B.E.) or B. Pharm candidates preferably with the following disciplines (B.E. in Biotechnology, Medical Electronics, B. Pharmacy).
- Expertise in MS SQL.
- Strong MS Office and Excel skills is mandatory.
- Expertise working on Healthcare or Lifesciences domain projects.
- Expertise in understanding data variables and connecting the dots in various datasets.
- Expertise in handling and manipulating large datasets.
- Should have handled short/long term projects end to end
- Expertise on statistical methods
- Ability to do secondary research and synthesize the findings.
It would be great if you also had . . .
- Understanding of Med tech data and Healthcare in the US.
- Exposure to Med tech or Claims/Pharmacy data.
- Experience working with data from data vendors.
What will you be doing in this role
- Understand the worldview and pain points of Clarivate customers, working closely with them as a problem-solver. From Fortune 500 companies to smaller startups, you will converse with high-profile clients regularly and be expected to both present and defend conclusions to them.
- Design, develop, and maintain processes and systems to analyze structured unstructured big data sources.
- Develop and code software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources with an emphasis on US medical devices and supplies markets.
- Evaluate data outputs with a keen eye for details, proactively finding potential errors and omissions.
- Identify opportunities and issues for data analysis and experiments, with bias towards driving customer delight.
- Contribute your vision; influence the evolution of our products, data models, and data usage strategy.
