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Salary: USD 107,000 - 178,000 / annual
Dutchie is a leading cannabis technology platform powering dispensary operations across 40+ US and Canadian markets. The Brands Analyst role sits at the intersection of data analytics, client services, and digital advertising strategy, partnering closely with the sales team to win and retain brand clients.
You will develop data-driven prospect briefs identifying high-potential brand targets based on market share, category penetration, and competitive positioning. For new business, you'll build budget recommendations, media plans grounded in historical performance benchmarks, and compelling pitch materials with ROI scenarios. You'll own end-to-end production of monthly performance narratives for brand clients, translating raw ad data into clear strategic stories for client review meetings.
Quarterly responsibilities include deep-dive analyses evaluating campaign health, incrementality, share of voice, and consumer behavior trends. You'll frame insights around business outcomes—connecting ad spend to ROAS, new buyer acquisition, market dollar share, and conversion rate improvements.
You'll design and maintain client-facing dashboards and internal reporting tools using visualization platforms such as Hex or Looker, developing reusable templates and automated workflows to streamline reporting cycles. In client meetings, you'll serve as the analytical voice, confidently presenting findings and fielding data questions from brand stakeholders. You'll provide strategic recommendations for new campaign launches, budget reallocations, and placement optimizations based on performance data.
Cross-functional collaboration is essential—you'll work closely with Sales, Ad Operations, and Product teams to align on priorities, surface data needs, and communicate insights. You'll participate in product testing for new ad placements and targeting features, providing structured feedback grounded in performance data.
Required: 3-5+ years in digital advertising analytics, media analytics, ad operations, or related data-driven roles. Proficiency in SQL with hands-on experience querying large datasets (Snowflake preferred). Strong data storytelling ability and comfort presenting to clients. Experience working cross-functionally with sales, operations, and product teams. Familiarity with ad platform data, POS data, telemetry data, product data, and retailer data schemas. Ability to build market share reports, market impact reports, QBRs, ad metric reporting, incrementality reporting, and retailer-level reporting. Understanding of ad performance metrics including ROAS, CTR, incrementality, share of voice, and conversion rates.
Bonus: Experience with Hex, Looker, or similar BI platforms. Background in media, digital advertising (retail media, programmatic, display, sponsored product ads). Familiarity with cannabis, CPG, or retail media industries.
