ALO is hiring: Lead Data Analyst in Beverly Hills

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 translate complex data into persuasive narratives and strategic action. You’ll independently engage with cross-functional business stakeholders, influence high-impact decisions, and help build a scalable analytics function. You’ll also manage junior team members and contribute to AI-driven initiatives, empowering the business with smarter, faster insights. If you're a proactive, influential communicator who thrives at the intersection of business, data, and AI innovation, this is the role for you.

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

• 7–8 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.

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