Lead Data Analyst

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, 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 (e.g., LLMs, recommendation engines) into business workflows and decision support systems.
• Independently explore and build strong relationships with the business and their thought partners to effectively influence with data and insights.
• 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.