Data Analyst - Health Software (apple)
apple Sunnyvale, United States
2024-10-27
Job posting number: #153927 (Ref:apl-200574000)
Job Description
Summary
This is a great opportunity to empower people to improve their health. Apple is looking for an exceptional Data Analyst / Data Scientist with a passion for health to join the Health Software team! In this role, you will collaborate closely with experts across various domains, including software engineers, clinicians, marketing partners, human factors engineers and design teams, to understand how our products are used in the real world and to support our health-related efforts at Apple. You will influence decision making and help improve health products by synthesizing complex data and delivering insights to stakeholders at all levels, including senior leadership.
Description
This is an opportunity to work in an extremely talented team, in a position where your work can make a difference in millions of lives. The ideal candidate enjoys breaking down complex problems, thrives in an agile and dynamic cross-functional team, loves data and data visualization, and wants to make a big impact on health.
Minimum Qualifications
- 2+ years experience in business intelligence, data analysis, data science, statistics or related field with a strong emphasis on data, particularly health-related data.
- BS in Data Science, Data Analytics, Computer Science, Statistics, Informatics or related experience.
- Experience with data visualization software such as Tableau, Splunk, or other tools used for data analysis and presentation.
- Ability to write and understand moderately complex SQL.
- Prior experience defining metrics and designing reports for key partners.
Key Qualifications
Preferred Qualifications
JOB IS FROM: italents.netVIEW
- Excellent spoken and written communication skills, with the ability to present complex ideas in a clear, concise fashion to technical and non-technical, cross-functional audiences.
- Experience with ETL technologies and concepts.
- Ability to balance competing priorities, long-term projects and ad hoc requirements in a fast-paced, schedule driven environment.
- Strong analytical and detail-oriented skills with a demonstrated ability to translate data into meaningful insights and communicate them effectively through storytelling and design.
- Results-oriented with the ability to maintain productivity and deliver impactful outcomes despite ambiguity and minimal supervision.
- Familiarity with computer science fundamentals and statistics.