Data Analyst

About the job

Role Summary

• Contributes analysis effort for our Platform Product Development Data Quality Team
• Required Skills
• Experience with Snowflake and Sigma
• Familiarity with data science tools like python or R
• Familiarity with healthcare or ERP data
• Proven analytic skills including mining evaluation analysis and visualization
• Strong demonstrable SQL skills
• Highlevel written and verbal communication skills.
• Ability to analyze large datasets
• Ability to write comprehensive reports
• Strong verbal and written communication skills
• An analytical mind and inclination for problemsolving
• Attention to detail
• Displays an ability to learn rapidly and adapt quickly to changing situations.
• Team player contributes to team objectives displays trust and mutual understanding accepts constructive feedback and handles confrontation constructively.
• Ability to adapt to changing conditions and lead others through change
• Analytical and problemsolving ability and orientation
• Proven data engineering problem solving architecture and analysis skills
• Strong demonstrable SQL and Python skills
• Technical writing in relevant areas including Wikis reports and presentations

Roles Responsibilities

• Lead and contribute to analysis effort for our Platform Product Development Data Quality Team.
• In partnership with the engineering and product teams identify patterns and trends in the data assets to assist in feasibility and capability analysis.
• Define new data collection and analysis processes.
• Support the development and product teams in identifying and revising analytic and feasibility requirements.
• Thorough understanding of Agile development methodologies
• Education And Experience
• Bachelors degree in Computer Science Mathematics or Statistics
• 5 years experience mining data as a data analyst in a related field
• 5 years experience handling large data sets

Lifelancer ( ) is a talenthiring platform in Life Sciences Pharma and IT. The platform connects talent with opportunities in pharma biotech health sciences healthtech data science and IT domains.

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Remote Work :

No