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Apple

Manager, Retail Engagement & Marketing Analytics

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Cupertino, California, United States

1d ago
👀 9 views
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Job Description

Description

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. Data-Driven Insights: Utilize data analytics and reporting tools to derive actionable insights, measure performance, and inform decision-making processes. Connect marketing, programming and commercial data for team and customers through data visualizations. Drive Decision-Making Excellence: Develop and implement a comprehensive decision-making framework that fosters collaboration, critical thinking, and data-driven decision-making across the organization. Process Improvement: Identify and implement process improvements to streamline workflows, reduce redundancies, and enhance operational efficiency in data collection and decision making. Team Leadership: Lead and mentor direct reports supporting them through their career journey and development at Apple. Promote a culture of continuous learning and development, fostering an innovative and adaptable team. Role model inclusive leadership behaviors and build, develop and retain diverse teams. Stakeholder Engagement: Collaborate with leadership, cross-functional teams and external stakeholders to understand business needs, align initiatives and drive adoption. AI Innovations: stay current with future proofs technologies, and partner across Apple to leverage the automation / AI solutions to arrive at the very best of insights to drive business decisions. Performance Management: Implement effective performance management systems to assess and develop talent, drive accountability, and achieve organizational goals.

Minimum Qualifications

Minimum Qualifications
  • 5+ years of experience in a position monitoring, managing, manipulating and drawing insights from data
  • 3+ years of experience managing 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

Key Qualifications

Key Qualifications

Preferred Qualifications

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

Education & Experience

Education & Experience

Additional Requirements

Additional Requirements

Pay & Benefits

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.

    Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

    Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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  • 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. Learn more about your EEO rights as an applicant.

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