招聘
Compensation
$117,400 - $221,200
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Learning Budget
•Relocation Assistance
•Healthcare
•401k
•Equity
•Learning
Required Skills
SQL
Tableau
Snowflake
Python
Data Analysis
Marketing Analytics
At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses.
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.
Description:
We are looking for a Marketing Operations Data & Insights Specialist to own end-to-end measurement, automated reporting, and analytics for Marketing Ops workflows and channels (web, email, notifications, SEO, etc.).
In this role, you will define the data logic and structure that power automated operational dashboards, and turn insights into tangible workflow and channel improvements that drive efficiency, scalability, and performance. You'll also analyze experiments, investigate trends, and partner with stakeholders to ensure insights are implemented and deliver measurable impact. As our analytics foundation matures, you'll play a key role in shaping the next phase of AI-enhanced capabilities.
","responsibilities":"Define and maintain standardized KPIs and measurement logic for Marketing Ops
Build and automate Tableau dashboards on Snowflake to visualize operational health, workflow efficiency, and channel metrics
Develop validation and monitoring checks to ensure data quality and detect workflow or delivery issues
Conduct deep-dive analyses on operational and channel trends to identify efficiency opportunities and optimization levers
Support experiment design, testing, and analysis to measure the impact of changes
Engineer and enrich datasets with advanced attributes that fuel predictive capabilities
Collaborate with stakeholders to operationalize insights through process improvements and data-informed decisions
Preferred Qualifications:
Excellent communication and data storytelling skills, with the ability to tailor outputs for both operational and senior audiences
Proven ability to measure operational health and channel performance, including experiment design and analysis
Background in marketing operations analytics, campaign delivery, or workflow automation
Familiarity with Adobe Experience Cloud, Salesforce Marketing Cloud, or Braze
Experience building or maintaining predictive or propensity models that inform channel or workflow optimization
Knowledge of data quality management, anomaly detection, or automated alerting systems
BA/BS - preference for degree in Computer Science, IT, Communications, Marketing, or related field.
Minimum Qualifications:
5+ years of experience in marketing analytics, data analysis, or a related field
Advanced SQL proficiency with hands-on experience querying and modeling data in Snowflake
Strong expertise in Tableau for building and automating dashboards and reports
Experience developing data automation or quality checks using SQL or Python
Demonstrated experience translating insights into optimizations and scaling data-driven initiatives
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 $117,400 and $221,200, 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
L2
L3
L4
L5
L6
L2 · Marketing L2
0 reports
$140,557
total / year
Base
$56,223
Stock
$70,279
Bonus
$14,056
$98,390
$182,724
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
News & Buzz
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