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Mood (hellomood.co)

Business Insights Manager

Sorry, this job was removed at 02:08 a.m. (PST) on Saturday, May 09, 2026
Remote
Hiring Remotely in United States
Remote
Hiring Remotely in United States

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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.

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