IT Knowledge & Training Data Scientist, Employee Experience & Productivity, IS&T

Socket.dev; Sunnyvale (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Apple is recruiting for a data analytics role within the Information Systems and Technology (IS&T) organization. You will enrich data with business context to drive insights that support employee training and knowledge resources.

The role emphasizes dashboards, SQL, and statistical analyses to measure program effectiveness and inform leadership decisions. You will partner with the Knowledge & Training team to deliver clear, actionable findings, and use AI tools to accelerate analysis while

Qualifications

• 3+ years of experience with learning and development data (training platforms, content performance, or learner engagement).
• 3+ years writing SQL to extract, transform, and analyze data from large multi-source datasets.
• 3+ years building dashboards/visualizations in Tableau, Looker, or equivalent.
• 3+ years of Python or R for data manipulation and analysis.

Responsibilities

• Build and maintain dashboards, reports, and ad-hoc analyses for training programs and knowledge resources.
• Analyze learning data to measure program effectiveness and inform decisions.
• Collaborate with knowledge and training leaders to translate business questions into analytical work and insights.
• Write SQL to model data from large datasets and present findings to stakeholders.

Skills

SQL

Dashboarding (Tableau/Looker)

Python or R

Learning & development data

Education

Bachelor's degree in quantitative field

Master's degree in quantitative field

Tools

GitHub

Job description

The difference between data and intelligence is context. This role enriches datawith business context to produce insights that enable intelligent decisions.Join Apple's Information Systems and Technology (IS&T) organization, the enginepowering Apple. As a member of the Employee Productivity & Support Data Scienceteam, you will use data to improve how Apple trains its employees and deliversknowledge resources. You will pull and prepare data from multiple systems, builddashboards and visualizations, and conduct analyses that help learning anddevelopment leaders understand program effectiveness and make informeddecisions. This role is about interpreting data, extracting insights, andpartnering closely with the business to turn those insights into betterdecisions.

DESCRIPTION

In this role, you will support IS&T's Knowledge & Training group by building and maintaining the analytical assets it relies on - dashboards, reports, and ad-hoc analyses that surface how training programs and knowledge resources are performing across the organization. You will draw on your expertise in learning and development analytics to understand how employees engage with training content, identify where programs can improve, and develop metrics that measure effectiveness beyond attendance. A core part of the role is partnership: you will work directly with knowledge and training leaders to understand their challenges, translate them into analytical work, and deliver findings that are clear, accurate, and actionable. You are not building in isolation - you are a thought partner who understands the business well enough to know what to measure and why it matters. Day to day, you will write SQL to model data from large datasets, build and maintain Tableau dashboards, conduct analyses to identify trends and anomalies, and present your findings to stakeholders at various levels - all while using AI tools to accelerate your analytical work. The ideal candidate is someone who is technically strong, detail-oriented, and equally motivated by the work the data enables as by the data itself.

MINIMUM QUALIFICATIONS

• 3+ years of experience working with learning and development data, including training platforms, content performance metrics, or learner engagement data.
• 3+ years of hands-on experience writing SQL to extract, transform, and analyze data from large, multi-source datasets.
• 3+ years of experience building dashboards and visualizations in Tableau, Looker, or equivalent.
• 3+ years of experience in Python or R for data manipulation and analysis.
• 3+ years of experience delivering analytical work in a fast-paced environment with evolving priorities and multiple concurrent stakeholders.
• Bachelor's degree and 3+ years of relevant experience in data analytics, business intelligence, data science, or a related quantitative field - or a Master's degree in a quantitative or business discipline with 2+ years of relevant experience.

PREFERRED QUALIFICATIONS

• Working knowledge of how data informs content strategy, curriculum design, and self-service enablement.
• Working knowledge of clickstream data and web analytics as applied to content performance and user engagement measurement.
• Proficiency in version control and collaborative documentation practices using tools like GitHub.
• Knowledge of statistical modeling, including hypothesis testing, regression, and foundational causal inference methods.
• Track record of applying AI to real-world data analytics and general productivity challenges.
• Ability to communicate analytical findings clearly to both technical and non-technical audiences, adapting depth and format to the situation.
• Comfort with ambiguity; ability to define the analytical approach when the business question is loosely framed.
• Proven ability to build trust with leaders across diverse functional areas.
• Master's degree or PhD in a quantitative or business field (e.g., statistics, data science, economics, operations research, applied mathematics, the natural sciences, or an MBA with analytics concentration)