Business Acumen Intern

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WHY JOIN ALO?

Mindful movement. It’s at the core of why we do what we do at ALO—it’s our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.

OVERVIEW 

As a Business Acumen Intern at ALO, you’ll partner closely with the Retail Operations team to turn sales and performance data into insights that drive store-level and fleet-wide decisions. This role is designed for someone who is excited by how data informs sales forecasting, trend identification, and day-to-day retail decision-making. 

The ALO internship program starts June 8th and ends July 31st. Interns will work 40 hours per week from our Beverly Hills HQ. 

RESPONSIBILITIES 

• Support sales forecasting and planning by analyzing historical trends, seasonality, and business drivers across the retail fleet.

• Perform ad hoc analyses to answer time-sensitive business questions from Retail and Leadership teams.

• Monitor and report on key retail performance indicators, including sales trends, traffic, conversion, and productivity.

• Identify emerging business trends and anomalies at the store, region, and total company level.

• Build and maintain dashboards and recurring reports that help leaders quickly assess business health and performance risks.

• Partner with Retail Operations, Finance, and Data Engineering to translate data into clear, actionable insights.

• Present findings using concise visualizations and storytelling tailored to non-technical business stakeholders.

REQUIREMENTS 

• Currently pursuing or just graduated with a BS or MS in Data Science, Analytics, Statistics, Economics, Business, or a related quantitative field

• Strong analytical foundation with the ability to interpret data in a retail or commercial context

• Proficiency in SQL and data visualization tools (Tableau, Power BI, Looker, or similar)

• Comfort working with imperfect or evolving datasets in a fast-paced business environment

• Familiarity with retail, sales, or operational metrics (e.g., sales trends, comps, productivity, forecasting concepts)

• Curious, detail-oriented, and able to synthesize analysis into clear business recommendations

Compensation for this position is $44/hr.

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