Data Analytics Consultant

3 days ago

India beBeeHealthEconomist Full time ₹ 9,00,000 - ₹ 12,00,000

We are a data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better decisions.

Our analytical solutions support data science, commercial operations, real world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting edge analytics from the broadest set of data sources, combined with deep technical and domain expertise.

We have more than 180 employees worldwide, are growing rapidly, and are proud to count a number of top global companies as our clients. We serve customers with a high-touch on-site presence, leveraged by a global delivery platform.

Job Overview:

This position is responsible for the scientific and methodological aspects of all observational database analytics and evidence synthesis with minimal supervision.

Key Responsibilities:
  • Provide consultation on all aspects of internal RWE databases studies/analyses including objectives, study design, data source identification, protocol development, statistical analysis and interpretation.
  • Execute RWE studies/analyses by SAS based on claim database, EMR database, registry data and public used files.
  • Generate high quality, readily interpretable deliverables (e.g., data tables, graphs, charts, study reports).
  • Develop mock table shells, prepare specifications, and ensure quality control on analyses conducted by junior programmers.
  • Effectively manage and track all studies/analyses to ensure timelines are met and all stakeholders aware of project status.
  • Communicate research findings internally and externally, as appropriate (e.g., congresses, publications)
  • Implement latest methodologies and analytical techniques.
  • Contribute to the continuing education of relevant line functions on RWE methodologies.
Requirements:
  • Master's degree in statistics, biostatistics, epidemiology, health economics and outcomes research, health policy, or similar field.
  • At least two years' experience in observational data studies.
  • Strong programming skills with SAS. SQL and R programming experience preferred.
  • Excellent communication and study management skills.
  • Ability to communicate complex data results in a clear, non-technical manner to internal teams.
  • Ability to work effectively in a diverse, matrix environment.
  • Ability to identify new opportunities and solutions.
  • Proficiency in Microsoft Office Suite (Word, PowerPoint, Excel)
Qualifications:
  • Positive attitude and problem-solving skills.
  • Strong analytical and programming skills.
  • Excellent communication and interpersonal skills.
  • Great time and task management skills.
  • Quick learning capability and self-motivation.
  • Good team player

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