About The Position

Apple's Worldwide Product Marketing team is looking for an extraordinary Market Research practitioner to support customer insights for iPhone across key geographies. In this role, you'll assist in the design of primary market research and the development and delivery of in-depth results that directly inform the decisions of our leaders. We're looking for someone who understands innovative and state-of-the-art research methodologies, is an expert in analytics and data science, and has extensive experience translating data into actionable insights tied to real business issues.

Requirements

  • 7+ years of demonstrated success in customer insights or marketing analytics within consumer technology, consumer products, or a market research firm, preferably in a global role.
  • Highly analytical and intellectually curious, with quantitative market research experience on either the client or vendor/analytics side.
  • Direct experience presenting findings to senior stakeholders or clients, with strong communication and articulation skills.
  • Solid quantitative research and experimental (QRE) design skills, including questionnaire design, sampling, and statistical analysis.
  • Deep expertise applying a broad range of research techniques and methodologies (e.g., segmentation and cluster analysis, conjoint analysis, MaxDiff).

Nice To Haves

  • Proven ability to manage challenging projects, drive multiple priorities, and stay focused on strategic insights.
  • A self-starter who thrives in a fast-paced, dynamic, matrixed environment.
  • Intermediate to advanced proficiency in Python for data analysis, visualization, and streamlined analysis workflows.
  • Strong data visualization skills to deliver meaningful insights that shape business decisions.
  • Bachelor's degree in statistics, mathematics, economics, market research, marketing analytics, or a related field.

Responsibilities

  • Assist in the design of primary market research.
  • Develop and deliver in-depth results from market research.
  • Translate data into actionable insights tied to real business issues.
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