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Business Data Analyst - Pharma Industry - Canada - Remote

Cygnus Professionals Inc.

Canada

Remote

CAD 80,000 - 110,000

Full time

2 days ago
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Job summary

A leading company in the pharma industry is looking for a Business Analyst/Data Engineer to drive data initiatives and support decision-making processes. The ideal candidate will excel in data analysis, possess a strong background in cloud data platforms like Snowflake, and have excellent communication skills. This remote position emphasizes cross-functional collaboration and efficiency in data management, ensuring compliance with industry standards.

Qualifications

  • Minimum of 6 years experience in business analysis or data engineering.
  • Proficiency in Snowflake and MicroStrategy is essential.
  • Strong understanding of life sciences and healthcare analytics.

Responsibilities

  • Create and maintain data dictionaries and document business requirements.
  • Design ETL processes using Snowflake and optimize data models.
  • Collaborate with teams to deliver actionable dashboards.

Skills

Data analysis
Communication
Problem-solving
Analytical skills

Education

Bachelor’s degree in data science or related field

Tools

Snowflake
MicroStrategy

Job description

Business Data Analyst - Pharma Industry - Canada - Remote
Business Data Analyst - Pharma Industry - Canada - Remote

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Job Title: Business Analyst/Data Engineer

Location: Canada(Remote)

Job Overview:

We are seeking a skilled Business Analyst/Data Engineer to join our team at Client. The role requires wearing multiple hats, leading end-to-end projects in collaboration with Client leadership. The ideal candidate will have a strong background in data analysis and engineering, with specific experience in documenting data dictionaries, gathering business requirements, and working with cloud-based data platforms such as Snowflake. Additionally, familiarity with MicroStrategy for dashboard reporting is essential. This role requires a proactive individual with excellent communication skills and a solid understanding of various business units, including internal medicine, oncology, and hospital operations

Key Responsibilities:

  • Create and maintain comprehensive data dictionaries to ensure data consistency and usability across teams.
  • Document business requirements through stakeholder discussions and meetings.
  • Design, develop, and maintain ETL processes to facilitate 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 actionable insights for business stakeholders.
  • Analyze large datasets, including LAAD, ELAAD, formulary, prescription, call, and activity data, to identify trends and inform decision-making.
  • Work closely with cross-functional teams, including ETL, front-end reporting,and business leaders, to understand data needs and provide tailored solutions.
  • Support effective communication between technical and non-technical stakeholders.
  • Identify opportunities to improve data processes and reporting efficiency, driving innovation in data management practices.
  • Address data quality issues and work on data governance initiatives to ensure compliance with industry standards.
  • Write business articles and stay informed about industry standards and best practices, contributing to knowledge sharing and thought leadership.

Qualifications:

  • Bachelor’s degree in data science, Computer Science, or a related field.
  • Minimum of 6 years of experience in business analysis, data engineering, or a related role within the life sciences industry.
  • Proficiency in Snowflake, MicroStrategy, and data visualization tools.
  • Strong understanding of life sciences business units, specifically internal medicine, oncology, and hospital settings.
  • Excellent communication skills, both written and verbal, with the ability to convey complex data-related concepts to diverse audiences.
  • Strong analytical skills with a problem-solving mindset and attention to detail.
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Contract
Job function
  • Job function
    Information Technology

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