About this role
To address the need for a strategic analytical leader who can bridge the gap between complex datasets and actionable business growth, ALO is hiring a Lead Data Analyst in Beverly Hills, CA. Working closely with the Senior Director of Analytics, the incoming professional will shape the analytics function by translating data into persuasive narratives, managing junior staff members, and contributing directly to AI-driven business initiatives.
Daily responsibilities involve partnering across departments to define success metrics, designing high-impact experiments, and integrating advanced tools like LLMs into decision workflows. Ideal candidates bring a strong background in e-commerce analytics, advanced technical skills in SQL and Python or R, and the executive presence required to influence high-level stakeholders.
What you will do
- Partner directly with business stakeholders at all levels to define success metrics, lead strategic analyses, and guide decision-making across e-commerce, retail, marketing, product lifecycle, 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 into business workflows and decision support systems.
- Mentor junior analysts and foster a high-performance culture through best practices and coaching.
What you need
- Bring 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.
- Demonstrate a minimum of 2 years of professional experience managing and developing junior team members.
- Possess strong e-commerce domain expertise, including digital funnel optimization, omnichannel performance, customer segmentation, and merchandising analytics.
- Exhibit advanced SQL proficiency along with competence in Python or R, alongside a strong grasp of experimentation design, statistics, and data modeling.
- Display proficiency in BI tools like Tableau or Thoughtspot to build scalable, intuitive dashboards from the ground up.
- Show familiarity with AI/ML applications in analytics, including generative AI and AI-based tools for business decision support.
Benefits
- Performance bonuses
- Long term incentives
- PTO policy
Skills and tech stack
Questions candidates ask
What is the salary range for this position?
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. Actual salaries will vary based on factors including but not limited to location, experience, and performance.
What tools and languages are required for the role?
The role requires advanced SQL and proficiency in Python or R. Additionally, candidates should be proficient in BI tools like Tableau or Thoughtspot.
What level of experience is needed?
Applicants need 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. This includes a minimum of 2 years of professional experience managing and developing junior team members.
What additional rewards are included besides base salary?
Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits. Total compensation packages encompass more than just the base salary component.