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Required Skills
Analytics
Research
Data Analysis
Insights
Strategic Thinking
Join a worldwide company that welcomes the whole wide world.
Our customers are all over the world, so it's by design that Apple employees are all over the world, too. And we know our ability to continue creating the world's most innovative products depends on people who represent the variety of the human experience and who inspire us with great thinking. Because the broader the backgrounds and perspectives, the bigger the ideas.
Description:
The Apple TV Analytics team is seeking a highly experienced analytics leader to drive content performance and social / earned media insights across our streaming portfolio. This role is designed for a strategic, research-oriented thinker who can move beyond tracking metrics to determine which signals matter, when they matter, and how they should inform decisions.
","responsibilities":"This role sits at the intersection of analytics, research, marketing, and content strategy.
The successful candidate thrives in ambiguous environments, is comfortable working with incomplete or noisy data, and brings strong judgment to framing hypotheses, selecting proxy signals, and synthesizing insights.
The work spans content performance, social and earned media interpretation, audience understanding, and decision support across marketing, content strategy, and development.
As the Apple TV offering spans a broad range of content types and markets, this role helps ensure performance is understood holistically across formates, platforms, and audiences.
The role also involves developing analytical frameworks to evaluate creative inputs-such as talent, format, or concept fit-using a combination of data, research, and informed judgment.
Preferred Qualifications:
Experience in streaming, media, entertainment, or digital platforms
Hands-on experience with social analytics, social listening, and earned media measurement, with a focus on interpretation rather than tracking
Demonstrated ability to connect social and earned signals to downstream performance metrics, with strong judgment around when those signals are meaningful versus noisy
Background or training in research, audience insights, or behavioral analysis
Familiarity with subscription, audience, engagement, and retention metrics
Exposure to sports or live event programming a plus
Experience analyzing or supporting international or local-language content a plus
Experience applying analytics or research to creative or development decisions, where direct measurement may be limited
Experience with SQL, Snowflake, Tableau, or similar analytics tools
Strong collaborator who can influence cross-functional partners through clarity of thinking and insight quality
Minimum Qualifications:
Minimum 10 years of experience in analytics, insights, research, strategy, or a related field
Demonstrated ability to frame and solve open-ended, ambitious problems, including determining what questions to ask before determining how to analyze them
Proven track record translating complex quantitative and qualitative inputs into clear, executive-ready insights and recommendations
Strong analytical judgment, including comfort working with imperfect data and using proxy signals intentionally
Advanced proficiency in spreadsheets and presentation tools
Highly self-directed, proactive, and capable of independently driving analytical work from problem definition through insight delivery
Bachelors Degree in a related field or equivalent work expereince
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 .
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 $121,600 and $230,000, 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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About Apple

Apple
PublicA technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10,001+
Employees
Cupertino
Headquarters
$3.5T
Valuation
Reviews
4.0
10 reviews
Work Life Balance
4.0
Compensation
4.2
Culture
3.8
Career
3.5
Management
3.2
75%
Recommend to a Friend
Pros
Great coworkers and people
Excellent benefits and perks
Fast-paced and engaging work environment
Cons
High expectations and pressure
Management quality varies
Limited career progression opportunities
Salary Ranges
17,968 data points
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Junior/L3 · Specialist
4,913 reports
$61,616
total / year
Base
$61,616
Stock
-
Bonus
-
$41,521
$91,436
Interview Experience
5 interviews
Difficulty
3.4
/ 5
Duration
28-42 weeks
Offer Rate
20%
Experience
Positive 20%
Neutral 40%
Negative 40%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Onsite/Virtual Interviews
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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