Lead Business Intelligence Engineer
1 week ago
Summary:
Weekly Hours: 40
Role Overview:
Are you prepared to drive substantial change within Apple Services? At Apple, innovative concepts transform into exceptional products, services, and customer experiences at an impressive pace. 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 crucial role in shaping decisions that enhance customer experiences, fuel growth, and reveal new business prospects while upholding user privacy.
We engage with some of the largest e-commerce and media streaming enterprises globally, collaborating with an outstanding team dedicated to enhancing these services for our clientele.
Our team culture emphasizes rapid iteration, open feedback, and constructive discussions to achieve optimal results. 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.Position 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 comprehensive quantitative analyses and transforming data into actionable and intuitive visualizations to facilitate informed decision-making.
The ideal candidate will excel in communication and collaboration across diverse teams, adopt an agile approach to swiftly address complex challenges, and maintain a keen focus on details.
Your responsibilities will include designing and developing executive reporting solutions, creating highly polished dashboards, and building exploratory self-service tools, along with the datasets that support them to analyze and present insights related to customer experiences, product performance, business operations, and strategic decision-making.
Regular collaboration with our Data Science colleagues will be essential to define metrics, design datasets, and establish automation strategies.
Extensive interaction with Product, Business, Engineering, and Marketing teams is critical to our success.In this role, you will work closely 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 ideas materialize, you will create and communicate a comprehensive roadmap to manage stakeholder expectations while ensuring organization-wide transparency regarding progress.
This position necessitates substantial experience in taking intricate, multifaceted projects from conception to execution - ideally in a leadership role.
We seek someone with a curious business mindset, capable of distilling complex concepts and analyses into clear and concise insights that drive action.
The ideal candidate will be recognized for effectively bridging analytics and business teams, with a remarkable 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 large 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.
Exceptional communication, social, and presentation skills with meticulous attention to 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 voluntarily participating 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.-
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