Apple Home Advisor Jobs @ Get Dream Job

Apple; Topeka (KS); On-site; USD 41,600 - 62,400; Full time

Job summary

Apple is seeking a Data Engineer to deliver integrated, value-added data solutions for Apple’s service team in the USA. The role requires a Bachelor's degree and 5+ years in quantitative supply-chain analysis, with deep SQL/Python skills and experience with Snowflake, Teradata, Tableau, and related tools.

The candidate will analyze data, develop ML models, and present insights with data visualizations to non-technical stakeholders, while handling changing deadlines and budgets.

Qualifications

• Bachelor's Degree in a related field.
• 5+ years of experience in quantitative supply-chain analysis.
• Expertise in SQL and Python; experience with Snowflake, Teradata, Tableau, JMP, R, Matlab, SPSS.
• Experience in applied machine learning, regression analysis, time series, Bayesian statistics.
• Strong data visualization and communication skills.

Responsibilities

• Analyze data to identify system weaknesses and root causes.
• Use statistical tools to drive data‑driven decisions in supply‑chain.
• Translate technical content for non‑technical audiences.
• Create data visualizations and present findings.
• Support projects under changing deadlines and budgets.

Skills

Data analysis

Statistical tools

Communication

Presentation

Education

Bachelor's Degree

Tools

Snowflake

Teradata

Tableau

MySQL

Python

JMP

R

Matlab

SPSS

SAP/S4

Business Objects

Job description

Position Details

Title: Data Engineer – Salary: $20–30/Hour – Company: Apple – Location: USA – Educational Requirements: Bachelor's Degree

Job Summary

Apple Operations team seeks an energetic and motivated Data Engineer to deliver integrated, value‑added solutions to Apple's service team. The role is an opportunity for a self‑starter to use business acumen, acquire process knowledge, and apply analytical skills.

Key Responsibilities

The engineer must be an expert in data analysis and statistical tools to identify system weaknesses, root causes of problems, and recommend the best solutions. Knowledge and practical experience in quantitative supply‑chain analysis is expected, as is the ability to use statistical tools to identify process variances, root causes, and drive data‑driven decision making.

Requirements include more than 5 years of experience in quantitative analysis in supply‑chain, and computer analysis using Snowflake, MySQL, Teradata, Python, Tableau, Business Objects, JMP, R, Matlab, SPSS and working knowledge of SAP/S4 data systems.

The engineer should have experience with Snowflake, Teradata, Tableau, level expertise in SQL and Python, experience in applied machine learning, time‑series, probability models, Bayesian statistics, and the ability to translate technical content for non‑technical audiences.

Demonstrated ability to work effectively under challenging conditions with changing direction, deadlines and budget constraints, along with strong organizational, multitasking, communication, and presentation skills using data visualization tools.

Required Qualifications

• Bachelor's Degree in a related field.

• More than 5 years of experience in quantitative supply‑chain analysis.

• Expertise in SQL and Python; experience with Snowflake, Teradata, Tableau, and statistical software such as JMP, R, Matlab, SPSS.

• Experience in applied machine learning, trans. regression analysis, time series, probability models, Bayesian statistics.

Additional Skills

• Advanced understanding of data sources and relationships, reporting tools and systems knowledge, monitoring experience, and managing data quality.

• Commitment to staying current with industry‑leading technologies, processes, tools and best practices.