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Data Analyst Intern

ALO
Posted a month ago, valid for 16 days
Location

Beverly Hills, CA 90209, US

Salary

$45 - $50 per hour

Contract type

Full Time

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Sonic Summary

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  • ALO is seeking a Data Analyst Intern to transform datasets into actionable insights that inform strategy across various departments.
  • The internship runs from June 8th to July 31st, requiring a commitment of 40 hours per week at the Beverly Hills headquarters.
  • Candidates must possess a BS or MS in Data Science or a related field, along with strong SQL and data visualization skills.
  • Preferred qualifications include experience with large datasets and familiarity with marketing or eCommerce metrics.
  • The position offers a base pay range of $45 to $50 per hour.

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

 

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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