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Business Analyst/Data Engineer - Life Sciences/Pharma Industry Exp - 8+ Years of exp

Summary

Designs and maintains ETL pipelines in Snowflake, builds MicroStrategy dashboards, and documents business requirements for life-sciences data analysis and reporting.

Business Analyst/Data Engineer - Life Sciences/Pharma Industry Exp - 8+ Years of exp

4 days ago Be among the first 25 applicants

Direct message the job poster from Cygnus Professionals Inc.

This is a contract remote role for a Business Analyst/Data Engineer with 8+ years of experience in the Life Sciences/Pharma industry. The role involves analytical skills, business analysis, communication, business process, and business requirements management.

Qualifications:

  • Bachelor’s degree in data science, Computer Science, or a related field.
  • At least 6 years of experience in business analysis, data engineering, or related roles within the life sciences industry.
  • Proficiency in Snowflake, MicroStrategy, and data visualization tools.
  • Strong understanding of life sciences business units, such as internal medicine, oncology, and hospital settings.
  • Excellent written and verbal communication skills, capable of conveying complex data concepts to diverse audiences.
  • Strong analytical and problem-solving skills with attention to detail.

Key Responsibilities:

  • Create and maintain data dictionaries to ensure data consistency and usability across teams.
  • Document business requirements through stakeholder discussions and meetings.
  • Design, develop, and maintain ETL processes for data integration with Snowflake.
  • Collaborate with data architects to optimize data models and database performance.
  • Design and maintain dashboards and reports using MicroStrategy to provide insights for stakeholders.
  • Analyze large datasets, including LAAD, ELAAD, formulary, prescription, call, and activity data, to identify trends and inform decisions.
  • Work with cross-functional teams, including ETL, front-end reporting, and business leaders, to understand data needs and develop solutions.
  • Support communication between technical and non-technical stakeholders.
  • Identify opportunities to improve data processes and reporting efficiency, fostering innovation.
  • Address data quality issues and contribute to data governance initiatives to ensure compliance with standards.
  • Write industry articles and stay updated on standards and best practices, contributing to knowledge sharing.

Seniority level

  • Mid-Senior level

Employment type

  • Contract

Job function

  • Research, Analysis, and Information Technology

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