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US Tech Consultant / Senior Consultant - Insights and Analytics

LinkedIn Blue Matter San Francisco, CA
Mid-Senior level Posted March 29, 2026 Job link
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Requirements
  • Expertise in data engineering/analytics/Gen AI application development for pharmaceutical datasets.
  • Expertise in SQL, Python and databases (e.g., MySQL, PostgreSQL, SnowSQL).
  • Skilled in data warehouse technologies (e.g., Snowflake, Redshift, Databricks) and data pipeline tools (e.g., Airflow, dbt).
  • Experienced with cloud platforms (AWS, Azure, GCP) and services (e.g., S3, EC2, Lambda).
  • Strong knowledge of MDM principles.
  • Familiar with back-end (e.g., Python/Django, Java/Spring Boot) and front-end technologies (e.g., React.js, HTML5/CSS3).
  • Proficient in API development (RESTful/GraphQL) and version control (e.g., Git).
  • Experience with reporting tools (e.g., Power BI, Tableau, Sigma).
  • Knowledge of US pharma datasets and healthcare concepts (e.g., coverage, payment, pricing).
  • Strong problem-solving, communication, and client-facing skills.
  • Proficient in Agile/Scrum and project management tools (e.g., JIRA, Smartsheet).
  • Ability to translate raw data analysis into impactful client presentations with actionable insights
  • Excellent communication and power point presentation skills (internal and client facing)
  • 4 years of quantitative analytical experience 4+ years (Consultant) or 6+ years (Senior Consultant) in data engineering/analytics, including 1+ (Consultant) or 2+ (Senior Consultant) years in client-facing roles
  • Demonstrated ability to integrate business and industry knowledge in developing creative solutions
Preferred Skills
  • Expertise in data engineering/analytics/Gen AI application development for pharmaceutical datasets.
  • Expertise in SQL, Python and databases (e.g., MySQL, PostgreSQL, SnowSQL).
  • Skilled in data warehouse technologies (e.g., Snowflake, Redshift, Databricks) and data pipeline tools (e.g., Airflow, dbt).
  • Experienced with cloud platforms (AWS, Azure, GCP) and services (e.g., S3, EC2, Lambda).
  • Strong knowledge of MDM principles.
  • Familiar with back-end (e.g., Python/Django, Java/Spring Boot) and front-end technologies (e.g., React.js, HTML5/CSS3).
  • Proficient in API development (RESTful/GraphQL) and version control (e.g., Git).
  • Experience with reporting tools (e.g., Power BI, Tableau, Sigma).
  • Knowledge of US pharma datasets and healthcare concepts (e.g., coverage, payment, pricing).
  • Excellent communication and power point presentation skills (internal and client facing)
  • 4 years of quantitative analytical experience 4+ years (Consultant) or 6+ years (Senior Consultant) in data engineering/analytics, including 1+ (Consultant) or 2+ (Senior Consultant) years in client-facing roles
  • Demonstrated ability to integrate business and industry knowledge in developing creative solutions
  • Passion for Generative AI in life sciences applications
Education
  • (Not required) – Advanced degree(s) (PhD, MD, MBA, or MS)