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Lead Business Intelligence Engineer
2 months ago
Summary:
Weekly Hours: 40
Role Overview:
Are you prepared to contribute significantly to Apple Services? At Apple, innovative concepts rapidly evolve into exceptional products, services, and customer experiences. If you possess a passion for crafting compelling data narratives through creative and insightful visualizations, we invite you to explore this opportunity.
The Apple Services Data Science & Analytics team plays a pivotal role in driving decisions that enhance customer experiences, foster growth, and identify new business prospects while upholding user privacy.
We engage with some of the largest e-commerce and media streaming platforms globally, collaborating with an outstanding team to optimize these services for our customers.
Our team culture emphasizes rapid iteration, open feedback, and constructive debate to achieve optimal outcomes. We promote independent decision-making and calculated risk-taking. Our team serves as analytical advisors, partnering with product, design, engineering, marketing, editorial, and business teams.Role Responsibilities:
As a Senior BI Engineer within the Services Data Science & Analytics team, you will engage with vast internet-scale data across various product and customer interactions, conducting thorough quantitative analyses and transforming data into actionable and intuitive visualizations to facilitate informed decision-making.
The ideal candidate will effectively communicate and collaborate across diverse teams, adopt an agile approach to swiftly tackle complex challenges, and pay meticulous attention to detail.
Your responsibilities will include designing and developing executive reporting solutions, creating polished dashboards, and building exploratory self-service tools, along with the datasets that support them to analyze and present insights related to customer experience, product performance, business operations, and strategic decision-making.
Frequently, you will work closely with our Data Science colleagues to define metrics, design datasets, and formulate automation strategies.
Extensive collaboration with Product, Business, Engineering, and Marketing teams is essential for our success.In this capacity, you will iterate with these teams on key business outcomes, influence how our services are evaluated, and develop world-class tools and insights to support them at scale.
As your concepts take shape, you will establish and communicate a comprehensive roadmap to manage stakeholder expectations while ensuring organization-wide transparency regarding progress.
This position necessitates substantial experience in guiding complex, multifaceted projects from conception to implementation - ideally in a leadership role.
We seek an individual with a curious business mindset, capable of distilling complex concepts and analyses into clear and concise insights that drive action.
We are looking for someone adept at bridging analytics and business teams, with the ability to fluently communicate in both domains.
Minimum Qualifications:
10+ years of experience in a Data Visualization, Data Scientist, or Data Analyst capacity.
Strong proficiency with data visualization tools such as Tableau, PowerBI, MicroStrategy, etc., for analysis, insight synthesis, reporting deliverable design & development, and executive presentation.
Proficiency in SQL, Python, and Spark, with experience utilizing these skills with extensive datasets.
Familiarity with data engineering tools and concepts, data pipeline development, data model design, and aggregation strategies to support responsive and highly interactive data products.
Excellent communication, social, and presentation skills with a keen eye for detail.
Strong time management abilities to balance multiple projects with tight deadlines and executive visibility.
BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field.
Preferred Qualifications:
Experience in a digital subscription business or large-scale e-commerce platform.
MS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field.
Compensation & Benefits:
At Apple, base pay is one component of our total compensation package and is determined within a range. This provides opportunities for advancement as you grow and develop within your role.
The base pay range for this position is between $165,500 and $293,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become shareholders 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 they voluntarily participate in Apple's Employee Stock Purchase Plan.
Additional Benefits:
Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for certain educational expenses related to career advancement at Apple, including tuition.
Additionally, this role may be eligible for discretionary bonuses or commission payments as well as relocation assistance. 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.
Apple is an equal opportunity employer 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.