Data Analyst

American Academy of Ophthalmology Inc • San Francisco, CA

just now • $103,522 - $111,082 • Remote

About The Position

American Academy of Ophthalmology has an opening for a Data Analyst in San Francisco, CA. Job duties: Performance of research and data analytic projects using scientific programming (SQL, R/Python) and statistical analysis and modeling. Communicate project updates and results to stakeholders, and ensure the accuracy and timeliness of all intermediate and final deliverables by conducting quality checks on code (e.g., SQL and R programming scripts). Attend scientific meetings and conferences, pursue professional development/continuing education opportunities to boost domain knowledge and key methodological skills, and incorporate new innovations and insights in big data analytics. Use analytic skills to uncover potential data quality issues to address with the IRIS Registry’s data vendor(s) or data management partner.

Requirements

• Bachelor’s degree or foreign equivalent degree in Data Science, Business Analytics, or a related field.
• Knowledge or coursework in Statistical Analysis, Data Analytics, and Python for Data Analytics or 1 year experience statistics, data analytics, data wrangling, and statistical programming: SQL is essential (e.g., PostgreSQL, MySQL), along with R or Python/pandas.
• Knowledge or coursework in Retail Analysis and Business Communication or 1 year of experience with data visualization and presentation skills to effectively communicate data insights, study designs, and analytic findings.
• Knowledge or coursework in big data machine learning or 6 months of experience with relational databases and data lake environments, including AWS.
• Must live within MSA of San Francisco worksite.

Responsibilities

• Performance of research and data analytic projects using scientific programming (SQL, R/Python) and statistical analysis and modeling.
• Communicate project updates and results to stakeholders
• Ensure the accuracy and timeliness of all intermediate and final deliverables by conducting quality checks on code (e.g., SQL and R programming scripts).
• Attend scientific meetings and conferences
• Pursue professional development/continuing education opportunities to boost domain knowledge and key methodological skills
• Incorporate new innovations and insights in big data analytics.
• Use analytic skills to uncover potential data quality issues to address with the IRIS Registry’s data vendor(s) or data management partner.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 51-100 employees