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• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 3rd Dec 2022

•   Experience with design, build and optimize the data architecture and Extract, Transform & Load (ETL) pipelines to make it accessible for Business Data Analysts, Data Scientists and Business Users.

•   Work with Analysts to productionize & scale value creating capabilities including data integration, transformations, model features, and statistical and machine learning models.

•   Handle data administration tasks such as scheduling jobs and fix job errors.

•   Write and review end-user and technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies.

•   Translate complex data and methodology into strategic, operationally practical insights.

•   Explore complex data sources, becoming a subject matter expert in customer behavior across Apples online retail platforms.

•   Navigate complex data environments as to derive structured data sources and build visualizations providing insight and meaning for Apple’s business.

•   Work with the Online Analytics Manager to gather requirements and perform exploratory analyses to uncover areas of opportunity and insights towards optimizing the online retail experience.

•   Support the generation of automated reporting and insights through the development of dashboard resources which measure customer engagement and the business impact of Apple’s online retail platforms.

•   Help ensure the consistency and availability for web analytics across all countries in which the Apple Online store does business.
 

Key Qualifications

•   3-5 years retail online analytics reporting experience with Adobe/Omniture data capture system.

•   Expert knowledge of data management and visualization technologies: SQL, Python, Adobe Analytics, Tableau, Excel, Shell Scripting, Hadoop, S3.

•   Experience working with large-scale data warehouse solutions such as Teradata, Snowflake, or Redshift.

•   Has insight & creativity to see around corners and to design systems in order to mitigate future risk.

•   Support and maintain the analytics tech ecosystem (data warehouse, ETL and BI tools).

•   Strong in web analytics technology applications.

•   Demonstrated ability to extract, conceptualize and communicate the significant patterns of visitor behavior from web data that identifies meaningful business opportunities

•   Excellent conceptual and problem-solving skills

Education

•   BS in computer science, engineering, mathematics, statistics, econometrics or other quantitative field.

•   Preferred MS is computer science, engineering, statistical methods, machine learning or econometrics.