Data Science Visualization Jobs in Austin, TX (NOW HIRING)

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...Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. As we continue to scale and evolve, AI and intelligent automation are becoming critical enablers of sales excellence, operational efficiency, and strategic decision-making..
As the US Enterprise Data and Analytics Lead for Sales Operations, you will serve as our technical and business intelligence expert who collaborates with data strategy, business insights delivery, and intelligent automation across the US sales organization. This role sits at the intersection of data, systems, and sales operations-requiring deep expertise in enterprise data platforms, analytics, and the ability to scale by leveraging AI and automation to solve complex business challenges.You will partner closely with the Sales Operations and Sales team to drive the strategy and optimization of critical enterprise data systems including Dun & Bradstreet (D&B), Internal customer sales data, CRM platforms, and business intelligence tools-ensuring sales teams have access to accurate, timely, and actionable insights. As the lead for business intelligence delivery, you will streamline D&B usage, design agentic workflows, and drive automation that transforms sales planning, forecasting, compensation, territory design, and performance analytics.This is a lead role where you leverage existing teams-including Business Process Requirement (BPR) managers, Analytics, Enterprise Systems, Data Science, and Engineering-to execute technical solutions. You will provide strategic direction, translate business requirements into technical specifications, and coordinate cross-functional execution. At the same time, you'll stay hands-on when innovating new solutions, prototyping agentic flows, or solving complex technical challenges.The ideal candidate is both a data expert and a business expert who deeply understands sales operations processes and can balance strategic leadership with hands-on innovation. You're passionate about leveraging AI and automation to drive business value and have the technical fluency to guide technical teams while maintaining strong business acumen
6+ years of related experience in sales operations, revenue operations, business intelligence, data analytics, or technical operations supporting sales or finance functions.Strong data and analytics expertise including proficiency in SQL, data warehousing, ETL processes, data quality management, and building data pipelines.Hands-on experience with data visualization and analytics tools (Tableau, Power BI, etc.) to build dashboards and deliver actionable insights.Technical fluency with APIs, system integrations, and middleware tools to design and troubleshoot integrations between CRM platforms and enterprise data systems.Demonstrated experience leading or coordinating technical teams including Data Science, Engineering, Analytics, or Enterprise Systems to deliver data solutions.Strong business acumen with understanding of sales operations processes (forecasting, quota planning, territory management, compensation, performance tracking).Experience with CRM platforms (e.g., Salesforce) including configuration, reporting, automation, and data management.Exceptional communication and leadership skills with ability to translate technical concepts for non-technical audiences and provide strategic direction to technical teams.Comfortable balancing strategic leadership with hands-on innovation-able to direct teams while remaining technically engaged to prototype and validate new solutions.Bachelor's degree in Business Analytics, Data Science, Computer Science, Engineering, Information Systems, or a related field, or equivalent experience required.
Hands-on coding experience with Python or R for data analysis and automation scripting.Experience with AI/ML technologies including LLMs, generative AI applications, or designing agentic workflows and automation solutions.Expertise in Dun & Bradstreet (D&B) data platforms, including data enrichment workflows, account intelligence, and optimization strategies.Understanding of machine learning, prompt engineering, and AI applications sufficient to guide technical teams and innovate solutions.Track record of becoming a subject matter expert in complex enterprise data systems and driving strategic improvements.MBA or Master's degree in Data Science, Business Analytics, Computer Science, Engineering, or a related field.