Brands Analyst

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Dutchie

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🛍️ eCommerce

☁️ SaaS

🛒 Retail

eCommerce • SaaS • Retail

Dutchie is a leading cannabis technology platform in North America, offering a comprehensive suite of solutions for cannabis dispensaries. The company provides tools like dispensary point of sale (POS) systems, e-commerce solutions, marketing and loyalty programs, payments integration, delivery management, and inventory management. Dutchie's platform is designed to enhance the cannabis shopping experience through features like SEO capabilities, personalized marketing, modernized e-commerce, and robust compliance tools to meet intense regulatory needs. With integrations to over 100 tech partners, Dutchie supports seamless operations for retailers, cultivators, and brands of any size, processing over $22 billion in annual transaction volume and facilitating 1 million daily transactions. Dutchie is committed to innovation, data privacy, and empowering cannabis businesses with reliable, user-friendly, and scalable technology.

📋 Description

• Develop data-driven prospect briefs identifying high-potential brand targets based on market share, category penetration, and competitive positioning • Build budget recommendations and media plans grounded in historical performance benchmarks and retailer-level data • Create compelling pitch materials, including performance projections and ROI scenarios, to support the sales team in new business presentations • Own the end-to-end production of monthly performance narratives for brand clients, translating raw ad data into clear, strategic stories for client review meetings • Conduct quarterly deep-dive analyses evaluating campaign health, incrementality, share of voice, and consumer behavior trends • Frame insights around business outcomes—connecting ad spend to ROAS, new buyer acquisition, market dollar share, and conversion rate improvements • Design and maintain client-facing dashboards and internal reporting tools using visualization platforms such as Hex or Looker • Develop reusable templates and automated workflows to streamline monthly and quarterly reporting cycles • Ensure data accuracy and consistency across all deliverables through rigorous QA processes • Serve as the analytical voice in client meetings, confidently presenting findings and fielding data questions from brand stakeholders • Provide strategic recommendations for new campaign launches, budget reallocations, and placement optimizations based on performance data • Quantify the cost of inaction—translate ad spend pauses or reductions into measurable performance impact to reinforce the value of sustained investment • Work closely with Sales, Ad Operations, and Product teams to align on priorities, surface data needs, and communicate insights across the organization • Participate in product testing for new ad placements, targeting features, and platform capabilities, providing structured feedback grounded in performance data • Support ad hoc analytical requests from the sales team with quick, accurate turnarounds.

🎯 Requirements

• 3-5+ years of experience in digital advertising analytics, media analytics, ad operations, or a related data-driven role • Proficiency in SQL with hands-on experience querying large datasets (Snowflake strongly preferred) • Strong data storytelling ability—you can turn a table of numbers into a narrative that drives action • Comfort in client-facing settings: you can present findings clearly and handle questions with confidence • Experience working cross-functionally with sales, operations, and product teams • Strong organizational skills with the ability to manage multiple deliverables across clients and deadlines. • Use snowflake or Hex to maintain, update and create ad reporting for client reviews • Be familiar with the following schemas: Ad platform Data, POS Data, Telemetry Data, Product Data, Retailer Data. • Understand how all of the following relate to each other in order to build: Market Share Reports, Market Impact Reports, QBRs, Ad Metric Reporting, Ad Incrementality Reporting, Retailer Level Reporting. • Be familiar enough with the data to quickly and accurately pull insights (ad projections, store lists, state rollups etc.) for sales and product teams. • Understand ads, snowflake and the data to write queries to test impact of campaign optimizations • Work with Product team to rewrite incrementality report with A-B testing using ad server and user level data.

🏖️ Benefits

• Full medical benefits including dental and vision plans to ensure you always have the best care. • Equity packages in the form of stock options to all employees. • Technology (hardware, software, reading materials, etc..) allowance • Flexible vacation and sick days