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How much do from home learning analytics jobs pay per year?

As of Jun 5, 2026, the average yearly pay for from home learning analytics in the United States is $123,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $153,500.00 per year, depending on experience, location, and employer.

What is the difference between From Home Learning Analytics vs From Home Education Data Analyst?

AspectFrom Home Learning AnalyticsFrom Home Education Data Analyst
CredentialsBachelor's in Education, Data Science, or related fieldsBachelor's or Master's in Education, Data Analysis, or Statistics
Work EnvironmentRemote, educational institutions, e-learning platformsRemote, schools, educational organizations, edtech companies
Industry UsagePrimarily in online learning and educational technologyAcross education sectors analyzing student data and learning outcomes

From Home Learning Analytics focuses on analyzing online learning data to improve educational experiences, while From Home Education Data Analyst involves broader data analysis tasks within educational settings. Both roles require similar skills and credentials but differ slightly in scope and application.

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From Home Learning Analytics jobs near you
Senior Data Scientist, Marketing Analytics

Senior Data Scientist, Marketing Analytics

Apple

Cupertino, CA • On-site

Full-time

Posted 22 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

At Apple, extraordinary products begin with a deep understanding of the people who use them. The Product Marketing Analytics team sits at the intersection of data science and marketing strategy, transforming customer data into communications that resonate with Apple product owners worldwide...As a Senior Data Scientist, you will partner with Marketing Communications and cross-functional teams to develop insights, dashboards, and predictive models that enable more relevant and meaningful customer engagement. You will proactively identify opportunities, apply advanced analytical and AI-driven approaches, and deliver end-to-end solutions that shape how millions of people experience Apple products.
As a Senior Data Scientist on the Product Marketing Analytics team, you will generate customer insights and build predictive models to support personalized, data-driven marketing communications. You will identify business problems, define analytical frameworks, and translate complex data into clear visualizations and actionable recommendations that inform marketing strategy, product adoption, and customer engagement.You will lead analytical initiatives end-to-end-from scoping and data preparation to modeling and delivery-while partnering with Engineering and Machine Learning teams to build scalable solutions. You will also leverage modern AI and LLM-based tooling to accelerate workflows and enhance analytical output.
Graduate degree in Business (quantitative focus), Statistics, Data Mining, Machine Learning, Analytics, Econometrics, Mathematics, Operations Research, Industrial Engineering, or a related field with 4+ years of experience OR Bachelor's with 6 years of relevant experience. Strong foundation in machine learning methods, including classification, regression, clustering, and ensemble techniquesProficiency in Python or Spark, with experience developing production-level analytical solutionsAdvanced SQL skills, including query optimization and data modeling in SnowflakeExperience building and maintaining data visualization dashboards using Tableau or other visualization tools
Strong business acumen with the ability to connect analytical insights to strategic decision-makingExperience with advanced marketing analytics techniques (e.g., time-series regression, marketing mix modeling, multi-touch attribution)Experience using LLMs and AI-assisted tooling to improve analytical productivityExperience presenting analytical findings and recommendations to senior leadershipExperience managing end-to-end analytics projects with multiple competing prioritiesExperience partnering with technical and non-technical teams to translate business questions into analytical frameworksExperience working with incomplete or ambiguous data to deliver results in a dynamic environment

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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