Senior Data Science & Analytics Manager, Healthcare

Abbott; Alameda (CA); On-site; USD 114,000 - 228,000; Full time

Benefits offered by this job

Career development

Medical coverage

Retirement plan

Tuition reimbursement

Education benefit

Diversity

Job summary

Abbott Diabetes Care in Alameda, CA, is seeking a Business Insights Manager to lead KPI development and strategic analyses within a data analytics team. This onsite role partners with commercial, marketing, and finance stakeholders to translate data into actionable insights for senior leadership.

You will design analytics models, build dashboards, and guide data-driven decisions across diabetes care initiatives, leveraging SQL, Python, and visualization tools in a fast-paced environment.

Qualifications

• Bachelor's degree in a related field or equivalent experience.
• 9+ years of related work experience.
• 5+ years in commercial or market analytics in healthcare preferred.
• Proficiency in machine learning for clustering, classification, regression, anomaly detection, and optimization.
• Strong hands-on experience with big data tech and data warehousing.

Responsibilities

• Design analytics models and algorithms in an agile, collaborative team.
• Develop and validate statistical and ML models for business insights.
• Create dashboards and reports to monitor performance and forecast revenue.
• Communicate insights to senior leadership with data-driven storytelling.
• Lead data analytics initiatives across multiple projects and stakeholders.
• Collaborate with vendors and internal teams to align on objectives.

Skills

Machine learning

SQL

Python

Data visualization

Education

Bachelor's degree or equivalent

Tools

Hadoop

Spark

H2O.ai

AWS

Redshift

PostgreSQL

Tableau

Job description

Abbott Diabetes Care in Alameda, CA, is seeking a Business Insights Manager to lead KPI development and strategic analyses within a data analytics team. This onsite role partners with commercial, marketing, and finance stakeholders to translate data into actionable insights for senior leadership.

You will design analytics models, build dashboards, and guide data-driven decisions across diabetes care initiatives, leveraging SQL, Python, and visualization tools in a fast-paced environment.