Lead Data Analyst

ALO; Beverly Hills (CA); On-site; USD 170,000 - 190,000; Full time

Job summary

ALO seeks a Lead Data Analyst in Beverly Hills to translate data into strategic action. You will partner with stakeholders across ecommerce, retail, and marketing, shaping analytics from dashboards to AI-enabled decision support.

You’ll mentor junior analysts and drive high-impact initiatives with a strong emphasis on data storytelling and business impact.

Qualifications

• 6+ years in data analytics shaping business strategy in e-commerce or digitally enabled retail.
• 2+ years managing/juniors; strong e-commerce domain experience including funnel optimization and merchandising analytics.
• Executive presence with ability to influence senior stakeholders using data storytelling.
• Advanced SQL; Python or R; solid statistics and data modeling concepts.
• Proficient in BI tools to build scalable dashboards from scratch.
• Experience collaborating with Data Science teams on predictive models (forecasting, churn, LTV).
• Familiar with AI/ML in analytics including generative AI and AI-based decision tools.

Responsibilities

• Define success metrics with stakeholders and lead strategic analyses across ecommerce, marketing, and customer strategy.
• Translate data into actionable insights to drive growth and efficiency.
• Design and lead high-impact A/B and multivariate tests.
• Build and scale dashboards and automated reporting for data democratization.
• Ensure data quality and validate end-to-end data implementations with Data Engineering.
• Collaborate with AI/Data Science teams to embed AI tools into business workflows.
• Use generative AI to accelerate insights and automate repetitive analysis.
• Mentor junior analysts and foster a high-performance analytics culture.
• Support Senior Director of Analytics in prioritizing high-value initiatives.

Skills

SQL

Python/R

Data storytelling

Leadership

Stakeholder communication

Experimentation

AI/ML familiarity

Tools

Tableau

ThoughtSpot

Job description

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

We are seeking a Lead Data Analyst with a sharp strategic mindset, and a passion for turning data into business impact.This role goes beyond traditional analytics—you’re not just crunching numbers; you’re actively shaping the business.Acting as a close partner to the team leader, you’ll serve as both a thought leader and execution driver, helping translatecomplex data into persuasive narratives and strategic action. You’ll independently engage with cross-functional businessstakeholders, influence high-impact decisions, and help build a scalable analytics function. You’ll also manage junior teammembers and contribute to AI-driven initiatives, empowering the business with smarter, faster insights. If you’re aproactive, influential communicator who thrives at the intersection of business, data, and AI innovation, this is the role foryou.

RESPONSIBILITIES

• Partner directly with business stakeholders at all levels to define success metrics, lead strategic analyses, and
  guide decision-making across e-commerce, retail, marketing, and customer strategy.
• Translate complex data into clear, actionable insights that drive growth and operational efficiency.
• Design and lead high-impact A/B and multivariate tests.
• Build and scale dashboards and automated reporting to enable data democratization.
• Ensure data quality and partner with Data Engineering to validate end-to-end data implementation, from tracking
  to reporting.
• Collaborate with AI and data science teams to integrate AI tools (e.g., LLMs, recommendation engines) into
  business workflows and decision support systems.
• Leverage generative AI tools to accelerate insight generation, automate repetitive analysis, and enhance
  stakeholder communication.
• Mentor junior analysts and foster a high-performance culture through best practices and coaching.
• Support as the analytical right hand to the Senior Director of Analytics, helping prioritize and drive high-value data
  initiatives across the company.

QUALIFICATIONS

• 6+ years of professional experience in data analytics, with a track record of using insights to shape business
  strategy in high-growth e-commerce or digitally enabled retail environments.
• Minimum of 2 years of professional experience managing and developing junior team members.
  Strong e-commerce domain expertise, including digital funnel optimization, omnichannel performance, customer
  segmentation, and merchandising analytics.
• Strong business acumen and executive presence, with the ability to influence senior stakeholders through data
  storytelling.
• Advanced SQL and proficiency in Python or R; strong grasp of experimentation design, statistics, and data
  modeling.
• Proficiency in BI tools like Tableau or Thoughtspot; able to build scalable, intuitive dashboards from the ground up.
• Experience collaborating with Data Science teams to build, deploy, and evaluate predictive models (e.g.,
  forecasting, churn, LTV).
• Familiarity with AI/ML applications in analytics, including generative AI (e.g., prompt engineering, LLMs), and AI-
  based tools for business decision support.
• Self-starter with excellent communication and prioritization skills; comfortable managing projects with ambiguity
  and shifting priorities.

The base salary range for this position is $170k-$190k per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

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