442 jobs for "Technology Product Analyst"

Business Analysis Manager, Capital One Shopping (Remote-Eligible)

At Capital One - Remote / Flexible

Posted on Oct 21

View job Apply on company site

Senior Manager, Data Science - Business Card and Payment

At Capital One - McLean

Posted on Oct 21

View job Apply on company site

Business Director, Acquisitions Strategy & General Management (Co-Brand Card Partnerships)

At Capital One - McLean · Chicago

Posted on Oct 21

View job Apply on company site

Software Engineer - Places

At Apple - Bengaluru

Posted on Oct 19

View job Apply on company site

Decision Scientist

At Apple

Posted on Oct 16

View job Apply on company site

Analytics Engineer

At Apple

Posted on Oct 16

View job Apply on company site

Technical Solutions Architect - Aladdin Studio, Vice President

At BlackRock - New York

Posted on Oct 16

View job Apply on company site

Business Manager,Strategic Pricing

At Capital One - Houston · Plano

Posted on Oct 16

View job Apply on company site

Data Engineer 4

At Capital One - Wilmington

Posted on Oct 16

View job Apply on company site

Data Engineer 5

At Capital One - Chicago

Posted on Oct 16

View job Apply on company site

Senior Software Engineer

At Mastercard - Pune

Posted on Oct 14

View job Apply on company site

Manager, Support Tooling and Infrastructure

At Adyen - Amsterdam

Posted on Oct 13

View job Apply on company site

Manager, Salesforce Integration

At Adyen - Amsterdam

Posted on Oct 13

View job Apply on company site

Analytics Engineer

At Apple

Posted on Oct 11

View job Apply on company site

Manager, Data Analysis - Card Data Products

At Capital One - Richmond · McLean

Posted on Oct 11

View job Apply on company site

Manager, Service Cloud

At Adyen - Amsterdam

Posted on Oct 10

View job Apply on company site

Manager, Data Analytics

At Capital One - McLean · Chicago

Posted on Oct 9

View job Apply on company site

Data Engineer 4 - Intelligent Foundations and Experiences (IFX)

At Capital One - Richmond · McLean

Posted on Oct 9

View job Apply on company site

Data Engineer 4

At Capital One - Chicago

Posted on Oct 8

View job Apply on company site

Manager, Data Analysis - Card Data Products

At Capital One - McLean · Richmond

Posted on Oct 7

View job Apply on company site

Apple

Analytics Engineer

ChinaPosted 24 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.

Do you have a strong passion for using data to drive business decisions, generate ideas, and inspire collaborators? As an Analytics Engineer on the Retail Store Analytics team, you will help create and maintain the analytic data pipelines that empower the analytics and reporting key to decision making across Retail. Leverage large and complex data sources from across Apple to deliver data products.

Description
You will partner with cross-functional teams to identify, create, and maintain metrics and data pipelines to support analytics, reporting, and key decisions on a wide variety of topics including product launches, customer experience, and operational performance. Other responsibilities include the following:
Design, create, refine, and maintain data pipelines and ingestion processes used for modeling, analysis, and reporting.
Collaborate with other data scientists, analysts, and engineers to build full-service data solutions.
Work with cross-functional business partners and vendors to acquire and transform raw data sources.
Develop a deep understanding of our retail customer base and purchase choices and contribute to the development of tools to improve business efficiency and productivity.","responsibilities":"Work with large volumes of data; extract and manipulate large datasets using tools such as SQL, dbt, command line and scripting languages.
Analyze data covering a wide range of information from financial reporting to device purchase patterns such as export and trader activity and identify new patterns through data mining.
Design, develop, validate and maintain big data-driven predictive models, tools and pipelines to improve device export predictions using latest technologies in machine learning.
Use data observability tools to develop and manage and automate testing, alerting and improve data quality.
Collaborate with data science, product, and engineering groups to translate business needs into data requirements, work with production teams to handoff reporting requirements for data products and communicate complex concepts and the results of the analyses in a clear and effective manner to business partners.
Strong collaborative data engineering experience, including using version control, release management, requirements gathering, data testing and documentation.

Preferred Qualifications
3+ years of experience working with pipeline tools like Airflow and dbt
3+ years of experience in data observability building unit tests, anomaly detection and alerting solutions
Experience translating business needs into logic and key performance indicators
Experience with BI processes and some experience with dashboard tools like Tableau
Master's degree in a relevant field (Engineering, Data Science, Business) or equivalent experience

Minimum Qualifications
6+ years of industry experience building analytics pipelines in a production development environment
Bachelor's degree in a relevant field (Engineering, Data Science, Business) or equivalent experience
6+ years experience coding in SQL and Python
6+ years in data modeling and building robust and scalable data processes and pipelines for modeling, analysis, and reporting
Ability to initiate, refine, and complete projects with minimal guidance
Ability to think critically and and collaborate cross-functionally with other data engineering, data science and analytics stakeholders distilling abstract requirements into clear data products

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

View company profile