ALO is seeking a Lead Data Analyst to shape business strategy by translating complex data into actionable insights, influence high-impact decisions, and build a scalable analytics function, including contributing to AI-driven initiatives.
Requirements
- 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.
Responsibilities
- 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.
- Support as the analytical right hand to the Senior Director of Analytics, helping prioritize and drive high-value data initiatives across the company.
Other
- 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.
- Self-starter with excellent communication and prioritization skills; comfortable managing projects with ambiguity and shifting priorities.
