Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple’s Market Research and Analytics team, part of Worldwide Product Marketing, is looking for a survey data analyst to provide critical customer insights that will shape our product and marketing strategies. We’re looking for a practitioner who is an expert in analytics and data science, understands innovative research methodologies, and has extensive experience translating complex data into clear business insights. If you have a passion for understanding consumer behavior and a proven track record of using data to solve business problems, we want to hear from you.

Description

As a Market Research Data Analyst, you will own the data analysis lifecycle, from ensuring data quality to delivering streamlined analysis. Your work will directly support important decisions and help enhance Apple's market research capabilities by turning raw data into actionable recommendations.

Minimum Qualifications

4+ years of experience in customer insights or market research, either at a CPG or consumer technology company or a market research firm. Bachelor’s degree in a quantitative or human-behavior field (e.g., Statistics, Economics, CS, Psychology) or equivalent experience. Strong communication and data visualization skills, with the ability to explain complex findings simply and persuasively Deep expertise in analyzing large-scale survey data using code, with proficiency in: Python (Pandas) or R; SQL for querying large datasets; Jupyter Notebook or similar environments. Experience with survey platforms (e.g., Qualtrics, Decipher, SurveyMonkey). Solid foundation in statistics as it applies to survey design and analysis.

Preferred Qualifications

Experience building dashboard and visualizations in Tableau or other BI tools. Familiarity with and curiosity about using AI for workflow improvement and data analysis. Experience working in a global, fast-paced, and matrixed environment. A proven track record of solving business problems using data-science-drive solutions.

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