BI Reporting & Visualization Intern
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About this role
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 BI Reporting & Visualization Intern at ALO, you’ll help modernize our retail reporting ecosystem by converting manual, Excel-based reporting into scalable, self-service dashboards in ThoughtSpot. You’ll work closely with Retail Analytics and business partners to translate business questions into intuitive visualizations that improve decision-making across the retail organization.
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 the migration of recurring Excel reports into ThoughtSpot, improving consistency, automation, and usability for business stakeholders.
- Build and enhance visualizations that make it easy for leaders to track business health, identify trends, and take action.
- Partner with Retail Operations and cross-functional stakeholders to understand reporting needs, clarify requirements, and iterate on dashboard design.
- Validate reporting outputs by reconciling ThoughtSpot results against existing Excel reports to ensure accuracy and trust in metrics.
- Help document metric definitions, dashboard purpose, and usage guidelines to support self-service analytics.
- Respond to ad hoc reporting requests and create quick-turn views or analyses as needed to support business priorities.
REQUIREMENTS
- Currently pursuing, or just graduated with a BS or MS in Analytics, Business, Data Science, Statistics, Information Systems, or a related field
- Strong proficiency in data visualization and dashboarding (ThoughtSpot, Tableau, Power BI, Looker, or similar)
- Solid working knowledge of Excel (including pivots / complex formulas) and comfort converting manual reporting into scalable BI solutions
- Familiarity with SQL for querying and validating datasets
- Detail-oriented with strong data QA instincts—able to reconcile numbers and spot discrepancies
- Ability to communicate clearly with non-technical stakeholders and present insights through clean, intuitive visuals
- Interest in retail/business performance reporting and KPI storytelling