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
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