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

Cygnus Professionals Inc.; Canada; Remote; CAD 80,000 - 120,000; Full time

Job summary

A leading company is seeking a Business Analyst/Data Engineer with over 8 years of experience in the Life Sciences sector. This role involves creating data dictionaries, documenting business requirements, and designing ETL processes. Ideal candidates will hold a Bachelor's degree in data science or related field and have proficient analytical skills to communicate effectively with stakeholders.

Qualifications

• At least 6 years of experience in business analysis or data engineering in life sciences.
• Strong understanding of internal medicine, oncology, and hospital settings.
• Excellent written and verbal communication skills.

Responsibilities

• Create and maintain data dictionaries for team consistency.
• Document business requirements through stakeholder discussions.
• Design and maintain ETL processes for data integration with Snowflake.

Skills

Analytical skills

Communication

Business process

Business requirements management

Problem-solving

Education

Bachelor’s degree in data science, Computer Science, or a related field

Tools

Snowflake

MicroStrategy

Data visualization tools

Job description

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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