Technical Data Analyst/Engineer, WW Sales BPR
Imagine what you could do here. The people here at Apple don’t just create products — they create 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. Join Apple, and help us leave the world better than we found it. Are you a strategic problem solver who excels at tactical execution? Do you love to tackle problems and have an uncanny knack for analytics? As part of our World Wide Sales Business Process Re-engineering (BPR) team, the Data Analytics Engineer will be responsible for handling data initiatives that enable the business to drive sales, improve customer experience, and innovate the way we lead and support one of the largest channel operations in the world. These data initiatives are typically related to new technical capabilities or to transformation of business processes that support continuously evolving sales motions, growing Geo coverage and routes-to-market. You will implement key initiatives that support a broad, cohesive sales solution strategy. This will be a part of our WW Sales BPR Enablement & Transformation team within the Data & Reporting work stream. In this position, you will use your deep understanding of data (attributes, measures, KPIs) in handling and measuring sales processes. You will partner with peers and global multi-functional partners on data and reporting requirements to support building, testing, maintaining and deploying functional and reporting solutions that improve strategic and operational decision making capability, build customer satisfaction, drive revenue, and/or improve efficiency for the sales organization.
In this role, you will: Document data requirements for business capability build on functional and reporting tools Be responsible for functional testing of data development to ensure adherence to functional specifications. Perform data profiling and availability analysis working with SMEs and business representatives to understand current data Create, define and document data integration, migration and transformation requirements, along with current-to-future state mapping and non-functional requirements, where required Evaluate the quality of the data, identify and interpret trends or patterns in data sets Document data quality rules for key attributes and work with data quality analysts and business partners on improving quality Facilitate data harmonization conversations with global business partners Participate and support business partners in data governance discussions for key data attributes Maintain data dictionary and business glossary for their data domains Participate in data testing and validation
- Typically requires a minimum of 8+ years of experience in data analysis, data quality or similar role, driving large scale complex business process/technology transformation initiatives and handling large-scale data systems.
- Expert-level SQL programming skills with experience in relational databases, and expertise in data visualization and BI tools like Tableau, Business Objects, and ThoughtSpot required
- Strong business analysis skills, including gathering and documenting data requirements, understanding business needs and trade-offs, conducting interviews and workshops, harmonizing requirements, proposing solutions, and analyzing source systems, data profiling, and KPI definitions.
- Experience profiling data to assess current state against business needs and identifying criteria to evaluate exceptions
- Experience in maintaining data definitions, data quality rules, data lineage, and data dictionary.
- Experience in data governance and data quality improvement, including working with tools like Informatica and Collibra; and master data management workflows
- Proven experience handling complex data projects, collaborating with global teams, and delivering engaging presentations to partners at all levels.
- Development experience in at least one object oriented language (Python, Java, etc).
- Bachelor's degree or equivalent experience required
- Strong dedication to execution and accountability for the overall success of the program.
- Solid understanding of data architecture concepts and methodologies.
- Solid understanding of API design and development.
- Master’s degree preferred
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
