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Retail, Fashion, E-commerce, Wellness

Data Analyst Intern

California, United StatesOnsiteFull TimeJunior / Entry-level$45–$50 /hrPosted 2 months agoVisa sponsorship available

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Role summary

ALO is seeking a Data Analyst Intern to join their team from June 8th to July 31st, working 40 hours a week at their Beverly Hills HQ. The intern will transform datasets into clear stories to inform strategy across product, marketing, and retail. Responsibilities include developing dashboards, analyzing customer journeys, supporting A/B testing, and presenting findings. Required qualifications include a BS/MS in a quantitative discipline, strong SQL and data visualization skills (Tableau, Power BI, or Looker), and proficiency in Python or R. Familiarity with A/B testing and statistical methods is also required. Preferred qualifications include experience with cloud data warehouses like BigQuery or Snowflake, and knowledge of marketing, eCommerce, or retail metrics.

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.
At ALO, we merge art, data, and mindfulness. You’ll be part of a team shaping how technology enhances well-being and creativity—using data not just to optimize, but to inspire.
OVERVIEW
As a Data Analyst Intern at ALO, you’ll help transform vast datasets into clear stories that inform strategy across product, marketing, and retail.
The ALO internship programs starts June 8th and ends July 31st. Interns will be working 40 hours a week at our Beverly Hills HQ.
RESPONSIBILITIES

  • Develop dashboards and reports that monitor business health and campaign performance
  • Analyze customer journeys across digital and retail touchpoints
  • Support experimentation and A/B testing initiatives
  • Collaborate with marketing, product, and merchandising teams to surface actionable insights
  • Present findings through compelling visualizations and data storytelling

Required Qualifications

  • BS or MS in Data Science, Statistics, or a quantitative discipline
  • Strong SQL and data visualization skills (Tableau, Power BI, or Looker)
  • Proficiency in Python or R for data analysis
  • Familiarity with A/B testing and statistical methods

Preferred Qualifications

  • Experience with large-scale datasets or cloud data warehouses (BigQuery, Snowflake)
  • Knowledge of marketing or eCommerce or retail metrics

What You'll Learn
You’ll develop a holistic view of how data informs brand, product, and customer experience—learning how to measure engagement, emotion, and impact.
The base pay range for this position is $45/hr-50/hr which represents the current range for the non-exempt position. Please note that actual pay will vary based on factors including but not limited to location, experience, and performance.
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