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Data Analyst - SQL R/ Python

San Francisco, CA

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Data Analyst - SQL, R/ Python San Francisco, California, United States
Job Order #391284 - G-REQ-00115510
Title: Data Analyst - SQL, R/ Python
Location: South San Francisco, CA
Please contact: April Mallari (see application details) or (see application details)
Job Description:
Verily, an Alphabet company, lives at the intersection of technology, data science and healthcare. Our mission is to make the world's health data useful so that people enjoy longer and healthier lives. We are developing tools and devices to collect, organize and activate health data, and creating interventions to prevent and manage disease.


Develop analysis and reporting for Project Baseline, focusing on user engagement and clinical operations

Work with Analytics program manager to create data pipelines, dashboards, and reports to provide insights and provide business recommendations

Partner with cross-functional teams to provide data driven, actionable insights

Develop a comprehensive understanding of Verily data structures and metrics, advocating for changes where needed.

Qualifications and Skills:
BA/BS degree with an emphasis on work of a quantitative nature (i.e. Statistics, Economics, Mathematics) or equivalent practical experience.
Data extraction and processing experience using SQL.
Experience with statistical analysis and working with packages such as R or Python
Experience with building quantitative data models and extracting meaningful insights from data.

Preferred Qualifications and Skills

Experience in translating data analysis results into business recommendations and business questions into an analysis framework.

Interest and aptitude in data, metrics, analysis and trends. Applied knowledge of measurement, statistics and program evaluation.

Excellent problem solving capabilities and critical thinking skills.

Distinctive analysis skills and impeccable business judgment. Strong written and verbal communication skills.

Experience or interest in working in Healthcare
Reference ID:
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