WW Sales BPR Data Analyst

Summary

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

Are you a strategic thinker who excels at tactical execution? Do you love to solve problems and have an uncanny knack for analytics? As part of our World Wide Sales Business Process Re-engineering (BPR) group, you will be responsible for managing 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, expanding Geo coverage and routes-to-market. As a WW Sales BPR Data Analyst, you will execute key initiatives that support a broad, cohesive sales solution strategy.

This role is part of our WW Sales BPR Enablement & Transformation team within the Data & Reporting work stream. In this position, you will leverage your deep understanding of data (attributes, measures, KPIs) in managing and measuring sales processes. You will partner with peers and global cross-functional stakeholders on data and reporting requirements to support build, test, and deploy functional and reporting solutions that improve strategic and operational decision making capability, build customer satisfaction, drive revenue, and/or increase efficiency for the sales organization.

Key Qualifications

8+ years experience in data analysis, business analysis, data management or similar role driving large scale complex business process/technology transformation initiatives.

Strong business analysis skills, including capturing and documenting data requirements, understanding business needs, impacts and tradeoffs, conducting interviews and workshops, requirements harmonization, and proposing solutions

Strong data analysis skills along with experience in detailed analysis of source systems, data profiling, measures and KPI definitions.

Hands-on experience with querying of data and data sources to provide analysis and best practices to present data to the customer

Proficiency in SQL and experience with at least one major data analytics platform, such as Snowflake.

Experience in maintaining data definitions, data quality rules, data lineage, and data dictionary

Hands-on experience working with BI platforms and tools such as Business Objects, Tableau, ThoughtSpot or others.

Solid understanding of data architecture concepts and methodologies.

Analytical and problem-solving experience and exposure to large-volume data systems

Experience in data governance and data quality improvement initiatives, including working with tools such as Informatica CDQ, Collibra, etc.

Experience in delivering projects, while working with multiple teams and across multiple time zones.

Ability to work in a matrix organization and navigate effectively through clear communication and relationship building.

Strong sense of execution and accountability for the overall success of the program

Description

In this role, you will:

- Document data requirements for business capability build on functional and reporting tools

- 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 stakeholders on improving quality

- Facilitate data harmonization conversations with global business stakeholders

- Participate and support business stakeholders in data governance discussions for key data attributes

- Maintain data dictionary and business glossary for their data domains

- Participate in data testing and validation

Education & Experience

- Bachelor's degree or equivalent experience required.

- Master's Degree preferred.