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Apple Manager Retail Engagement & Marketing Analytics 
United States, California, Cupertino 
813493623

19.09.2024
Description
Lead a small team who will work cross functionally to define problem statements, define requirements and develop briefs. You’ll also be responsible for QBR program management, prep for leadership reviews and support strategic decisions. Collaborate with other analytic functions to pipeline, generate and present data and insights. RESPONSIBILITIES INCLUDE:Cross-functional data reporting: Partner with Analytics functions across the business to pipeline, generate and stitch together data and insights. Build the management system to ensure real-time, accurate information, from data intake, mining, engineering, validation, as well as modeling, dashboard visualization and communications. Request Intake: Manage cross functional partners on all aspects of data/reporting needs, partnering to fully understand business needs and priorities. Ensure briefs are clear and ladder back into strategic priorities, translating business needs into analytic requirements. Oversee the end to end process, prioritizing and tracking requires across multiple stakeholders.Quality Control: Develop and implement quality controls and departmental standards to ensure consistency, organizational expectations and regulatory requirements.Process Improvement: Identify and implement process improvements to streamline workflows, reduce redundancies, and enhance operational efficiency in data collection and decision making.Performance Management: Implement effective performance management systems to assess and develop talent, drive accountability, and achieve organizational goals.
Minimum Qualifications
  • 5+ years of experience in a position monitoring, managing, manipulating and drawing insights from data
  • 3+ years of experience leading a team
  • Proficient in data visualization tools: Tableau, Raw, chart.js, etc.
  • Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
  • Strong SQL skills, ability to perform effective querying involving multiple tables and sub-queries.
  • Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
  • Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
  • Bachelor degree in Data Intelligence or equivalent and relevant work experience
Preferred Qualifications
  • Experience with testing tools such as Adobe Test & Target
  • Experience with Adobe Analytics and other analytics tools
  • Strong problem solving, quantitative and analytical abilities.
  • Strong ability to plan and manage numerous processes, people and projects simultaneously.
  • Experience using analytics techniques to contribute to REM’s engagement efforts and other key business outcomes.
  • Excellent communication, collaboration and delegation skills.
  • Experience in Snowflake
  • C, C++, JAVA, or other programming languages
Pay & Benefits
  • At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $149,500 and $224,900, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.