Business Insights Manager

Business Insights Manager Remote (Offshore welcome) | Full-Time About Mood Mood is not your average e-commerce company - we’re building the future of legal cannabis in the U.S. through a digital-first, customer-obsessed approach. We’re growing fast, powered by a team that’s just as passionate about building a seamless, personalized customer experience as they are about transforming the cannabis industry. From our rapidly expanding product catalog to our innovative use of analytics, machine learning & AI, data is at the core of every decision we make. The Role We’re looking for a Business Insights Manager to lead how insights are built, delivered, and trusted across Mood. Reporting to the VP of Data & Analytics, this role blends hands-on technical work with people leadership and cross-functional influence. You’ll manage a small, high-impact team (two analysts and one data engineer), own the quality and velocity of business insights, and serve as a primary interface between business stakeholders, analytics, and data science. Your mission: ensure decision-makers get fast, accurate, and actionable insights - without friction. This role is ideal for someone who is deeply technical, business-minded, and excited to both build and lead. What You’ll DoAnalytics & Insights Leadership

• Own the delivery of business insights across growth, wholesale, finance, product, customer support, and operations.
• Translate business questions into clear analytical approaches, metrics, and reporting frameworks.
• Ensure insights are timely, accurate, and directly tied to business decisions.
• Partner closely with the VP of Data & Analytics to align priorities, roadmaps, and resourcing.

Technical Execution & Data Quality

• Remain hands-on with SQL (BigQuery) and BI tools to support complex analyses and unblock the team.
• Oversee the design, maintenance, and optimization of reporting pipelines and semantic layers.
• Collaborate with data engineering to improve data reliability, freshness, and metric consistency.
• Work with data science and ML teams to operationalize models and experimental outputs into reporting and decision workflows.
• Define and enforce standards for metric definitions, documentation, and data validation.

Team Management & Development

• Manage and mentor two analysts/reporting specialists and one data engineer
• Create a scalable operational framework & recruit more team members as the business scales
• Set clear expectations around quality, speed, and stakeholder communication.
• Support career development, skill growth, and best practices across the team.
• Balance hands-on contribution with coaching and review to maintain high execution standards.

Business Stakeholder Partnership

• Act as a primary analytics partner to business leaders across marketing, product, CX, and operations.
• Proactively surface insights, risks, and opportunities - without waiting for requests.
• Align stakeholders on KPI definitions, success metrics, and reporting expectations.
• Ensure insights lead to action by clearly communicating tradeoffs and recommendations.

Reporting & Data Stack Improvements

• Own initiatives to improve reporting speed, scalability, and usability.
• Identify gaps and bottlenecks in the current analytics and reporting stack.
• Scope, prioritize, and drive improvements focused on:
• Faster time-to-insight
• Higher data accuracy and trust
• Reduced manual reporting and rework

What We’re Looking ForExperience & Skills 7–10+ years of experience in analytics, business intelligence, or data-focused roles. Proven experience managing analysts and/or data engineers. Strong SQL skills (BigQuery required) and deep experience with BI tools (Looker Studio required; Tableau or similar a plus). Technical enough to review data models, SQL logic, and reporting pipelines. Experience working closely with data science teams and translating advanced outputs into business-ready insights. Strong understanding of ecommerce, DTC, or subscription business models (highly preferred). Solid foundation in statistics, experimentation, and performance measurement. Excellent communicator: able to bridge technical and non-technical audiences with confidence. Proactive, structured thinker who thrives in fast-moving environments. Why Join Mood? Lead with impact. You’ll shape how the company trusts and uses data at scale. Own real systems. This isn’t just insights - you’ll influence the underlying analytics and reporting stack. Build and mentor a team. Lead smart, curious people doing meaningful work. Data is core to our culture. Your work directly drives decisions, not just dashboards. Remote-first. Work from anywhere with a sharp, ambitious, collaborative team. Modern data stack. Partner with data science, CRO, marketing, growth, and leadership teams who value speed and accuracy. Apply tot his job Apply To this Job