Business Insights Analyst, ASO Operations

Apple • Austin, TX

6h

About The Position

The Apple Store Online Operations team is seeking a Business Insights Analyst to join our Workforce Strategy & Analytics (WSA) group. This role is at the intersection of business curiosity, analytical rigor, and technical execution. In this role, you will play a key part in how Apple's largest store understands and improves its performance — building the metrics, analyses, and data solutions that help operational teams make better decisions every day. You are someone who is energized by turning complex data into clear answers, who takes pride in the quality and reliability of your work, and who is eager to grow their craft in a high-impact environment. If you believe great analytics starts with understanding the business first, this role was built for you.

Requirements

• Bachelor's degree in Analytics, Business Intelligence, Statistics, Computer Science, or a related field — or 5+ years of equivalent professional experience in analytics, business intelligence, or a strategy & analytics role with demonstrated impact.
• Experience contributing to the development of KPIs or operational metrics — including working with stakeholders to document definitions, validate calculation logic, and maintain consistency in reporting over time.
• Demonstrated ability to engage with business partners, understand operational needs, and translate those needs into analytical requirements and reporting solutions that support data-driven decision-making.
• Strong SQL proficiency and working experience with Python or equivalent scripting for data analysis and manipulation — paired with the ability to communicate findings clearly to both technical and non-technical audiences.
• Proven ability to take initiative, build trust, and develop strong working relationships across teams — comfortable navigating a matrixed organization and contributing to shared goals without direct authority.
• Demonstrated ability to approach ambiguous problems with curiosity and structure — breaking down complex challenges into clear analytical questions and delivering well-reasoned, actionable recommendations.

Nice To Haves

• Strong business acumen with the ability to understand operational workflows and connect data to business outcomes — including experience translating analytical findings into clear narratives that support operational decision-making and continuous improvement.
• Familiarity with KPI and performance management frameworks such as OKRs or operational scorecards, and an interest in how data infrastructure supports tracking and accountability at scale.
• Familiarity with cloud-based data warehousing platforms such as Snowflake, and an interest in how AI tools and techniques — including anomaly detection, forecasting, or natural language querying — can enhance analytics workflows and accelerate decision-making.
• Background or coursework in workforce analytics, digital operations, or retail operations — with an understanding of how staffing, volume, efficiency, and customer experience metrics work together to shape business performance.
• Strong organizational skills with the ability to manage multiple deliverables simultaneously — maintaining attention to detail and clear communication even as priorities shift in a fast-paced environment.
• Experience with data visualization and BI tools such as Tableau, Looker, or equivalent platforms — with an interest in designing dashboards and reporting solutions that make data accessible and actionable for a broad audience.

Responsibilities

• Play a key role in the analytical foundation of ASO Operations — supporting business partners in understanding performance challenges.
• Contribute to metrics frameworks that drive accountability.
• Translate data into clear, actionable insights.
• Work alongside experienced analytics and data engineering teammates to develop and maintain the KPIs, dashboards, and reporting infrastructure that keep operational teams aligned and informed.
• Connect day-to-day data to real business outcomes — and every analysis you deliver will be in direct service of helping Apple's largest store perform at its best.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level