Data Science Analyst Jobs at Apple with Visa Sponsorship

INTRODUCTION

The Finance Process, Analytics, Reporting, and Technology (PART) team is looking for a passionate and highly motivated analyst to help shape the future of AI-powered finance at Apple. As part of this team, you will support Apple's growth, both top and bottom line, by applying the same level of innovation toward financial matters as we do toward our products and services. We work closely with various business teams to deeply understand current and future commercial initiatives and then partner with data engineering, data science, and full stack development teams to ensure our finance teams are fully empowered to operate efficiently and make well-informed decisions - increasingly through the use of cutting-edge AI capabilities.

DESCRIPTION

We are looking for an outgoing professional with high analytical capacity, creativity, intellectual curiosity, and strong interpersonal skills to support the WW Sales Finance organization. In this role, you will be embedded at the intersection of finance domain expertise and AI product development - serving as a critical bridge between business stakeholders and the teams building next-generation AI tools for finance. You will be responsible for driving the adoption, quality, and continuous improvement of AI-powered finance capabilities, ensuring they deliver real, measurable value to the analysts and teams who depend on them. The position requires the ability to understand and work with complex data sets, generated from equally complex business processes, in order to drive insights and inform product decisions.

Responsibilities

• Deeply understand Apple's relevant business activities, commercial interests, and related processes - and apply that knowledge to help define what "good" looks like for AI-generated outputs

• Drive day-to-day execution of roadmap priorities across finance capabilities - including writing requirements, consolidating and proposing priorities, and analyzing user feedback with guidance from senior team members

• Review and evaluate AI-generated answers and analyses for accuracy and business relevance, helping define best-in-class responses that set the quality bar for each capability

• Identify and drive solutions in response to user feedback, translating observations into actionable product improvements

• Lead documentation and knowledge-building efforts - maintaining shared context, frameworks, and curated resources that support team onboarding and continuity

• Define and enforce SQL best practices across relevant datasets, particularly as capabilities expand into new data domains

• Review and validate SQL queries in collaboration with technical partners, developing proficiency in data verification and quality assurance

• Support successful capability launches and drive adoption - including providing structured feedback, participating in testing cycles, and engaging stakeholders

• Partner with and train analysts to best use our data and technology infrastructure for building dashboards, reports, and conducting analyses

• Proactively identify opportunities to improve processes, tools, or analyses, demonstrating intellectual curiosity beyond the immediate scope of work

• Translate business requirements into technical requirements and work with engineering partners to assess feasibility and form project plans

• Communicate the business value of proposed projects to senior leadership by framing opportunities in terms of impact, feasibility, and alignment with strategic goals, enabling effective prioritization and resourcing decisions

• Collaborate with engineering and data partners to influence tool and pipeline design decisions that improve usability and long-term maintainability

• Document and share reusable frameworks, templates, and tools to improve onboarding and speed up solution delivery

MINIMUM QUALIFICATIONS

• 2+ years of consulting or financial/business/data analyst experience

• BS/MBA in Finance, Accounting, Economics, Business Analytics, or BS/MS in STEM or a quantitative field (CS, Applied Statistics, Operations Research)

PREFERRED QUALIFICATIONS

• 4 years of consulting or financial/business/data analyst experience

• Excellent problem-framing, problem-solving, and project management skills, with the ability to change direction quickly

• Strong verbal and written communication skills with the ability to articulate results of analysis in business terms

• Confirmed ability to conduct complex, data-driven analysis

• Knowledge of accounting principles, financial statements, and financial modeling

• A basic understanding of data design pattern differences between transactional ERP systems (e.g. SAP) and analytical data warehouses (e.g. BigQuery, Snowflake)

• Familiarity with AI/ML concepts and curiosity about how large language models and AI-powered tools can be applied to financial analysis and reporting

• Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity

• Knowledge of SQL and experience working with large datasets

• Experience with data analytics tools and languages (e.g. R, Python)

• Experience building interactive data visualizations and strong storytelling skills (e.g. Tableau, Streamlit)

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 $110,500 and $166,100, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.