1,575 jobs for "Business Analytics Lead"

Product Operation Strategy Manager - TikTok Content Operations

At TikTok - San Jose

Posted on Sep 24

View job Apply on company site

Measurement Partner, CPG

At TikTok - Toronto

Posted on Sep 15

View job Apply on company site

Senior Data Scientist, ASE iCloud Data Organization

At Apple

Posted on Jul 29

View job Apply on company site

Senior Vice President, People & Culture

At Aristocrat - Las Vegas

Posted on Oct 9

View job Apply on company site

Client Onboarding Associate

At DTCC - Jersey City

Posted on Oct 1

View job Apply on company site

Agent & Issuer Services Engagement Executive Director

At DTCC - Jersey City

Posted on Jul 21

View job Apply on company site

Lead Machine Learning Engineer

At Nike - Beaverton

Posted on Oct 27

View job Apply on company site

Manager / Managing Consultant, Services Business Development

At Mastercard - Mumbai

Posted on Oct 22

View job Apply on company site

US Consumer Insights & Competitive Intelligence Lead

At Apple - Cupertino

Posted on Oct 17

View job Apply on company site

Lead Software Engineer

At Mastercard - Pune

Posted on Oct 12

View job Apply on company site

Director, HR Business Partner - Risk

At Capital One - McLean · Richmond

Posted on Sep 26

View job Apply on company site

Lead Data Engineer

At Coca-Cola

Posted on Sep 11

View job Apply on company site

Lead Software Engineer

At Mastercard - Lusk

Posted on Sep 4

View job Apply on company site

Lead Software Engineer

At Mastercard - Dundrum

Posted on Sep 4

View job Apply on company site

Lead Software Engineer

At Mastercard - Blackrock

Posted on Sep 4

View job Apply on company site

Lead Software Engineer

At Mastercard - Celbridge

Posted on Sep 4

View job Apply on company site

Lead Software Engineer

At Mastercard - Clondalkin

Posted on Sep 4

View job Apply on company site

Lead Software Engineer

At Mastercard - Ashbourne

Posted on Sep 4

View job Apply on company site

Lead Software Engineer

At Mastercard - Malahide

Posted on Sep 4

View job Apply on company site

Lead Software Engineer

At Mastercard - Bray

Posted on Sep 4

View job Apply on company site

Apple

Senior Data Scientist, ASE iCloud Data Organization

ChinaPosted Jul 29, 2026

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Would you like to help shape the future of Apple's products and platforms while impacting some of the most widely used software in the world? The Apple Services Engineering (ASE) organization drives innovation behind Apple's cloud-based experiences for over a billion global users - including iCloud+, Photos, Mail, Messages, FaceTime, Calendar, and Notes. We build the infrastructure and intelligence that enable Apple's ecosystem to deliver seamless, privacy-first experiences every day.

The ASE Data Organization plays a central role in this mission by embedding data-informed thinking into every decision. Partnering with product, engineering, and business teams, we combine analytical rigor, product acumen, and technical depth to generate insights, measure impact, and guide strategy across iCloud and related services.

Description
We are seeking an experienced Senior Data Scientist to drive high-impact analytics for iCloud and Apple's cloud services. You will collaborate across engineering, product, and business teams to uncover opportunities, optimize user experiences, and influence decisions at global scale.

This role calls for a balance of technical depth, strategic thinking, and strong communication. You'll deliver insights that shape the trajectory of Apple Services, lead complex analytical projects, and expand a culture of data-informed decision-making across ASE.","responsibilities":"Partner with Product, Engineering, Design, and Business leads to define priorities, shape measurement frameworks, and translate insights into growth strategies for iCloud.
Deliver data-informed narratives for senior leadership that directly inform product and business roadmaps.
Drive organizational alignment by clarifying analytical outcomes and implications for diverse stakeholders.
Design performance metrics that capture product health, user engagement, and business impact across iCloud services.
Lead controlled experiments, apply causal frameworks and marketing mix models to evaluate initiatives at scale.
Conduct deep behavioral analysis to uncover engagement, retention, and churn drivers, then translate findings into actionable strategies.
Collaborate with Data Engineering to define instrumentation and build reliable data pipelines across ASE.
Develop and productionize ML and statistical models that enable predictive and diagnostic insights for product decisions.
Leverage generative AI to automate analytical workflows and expand measurement capabilities at scale.

Preferred Qualifications
Advanced degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, Economics, or related discipline).
Practical experience with experimentation (A/B testing, Multi-armed bandit) and advanced causal inference methods (e.g., matched markets, synthetic controls).
Hands-on experience with large-scale data ecosystems (Hive, Spark, Presto, etc.) and building scalable, reproducible analytical pipelines.
Demonstrated success influencing or leading projects within matrixed, cross-functional environments.

Minimum Qualifications
7+ years of experience in data analytics or data science, with 5+ years in data science applying statistical modeling, or Machine Learning in production.
Proven ability to influence cross-functional initiatives and shape product or business strategy using data-informed insights.
Strong communicator skilled at framing complex technical concepts for senior and executive audiences.
Deep expertise in product analytics, launch reporting, and impact measurement.
Proficiency in SQL and at least one programming language (Python, R, etc.), with strong statistical and experimental design foundations.
Ability to structure ambiguous problem spaces, prioritize effectively, and deliver actionable insights.
Exposure to applying generative AI or ML-based agents (ex. Claude) to automate analytical workflows and build data products.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

View company profile