Brands Analyst

Dutchie

Brand Analyst at Dutchie providing data-driven support for advertising sales. Responsible for client reporting and campaign optimization through analytical insights and strategy.

Posted 7/22/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $107,000 - $178,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in digital advertising analytics and data storytelling, with proficiency in SQL and experience in client-facing roles. Capable of developing strategic recommendations based on performance data and collaborating cross-functionally to drive business outcomes.

Highest-signal resume keywords

Digital Advertising AnalyticsSQL ProficiencyData StorytellingClient-Facing ExperienceCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPerformance ReportingCampaign OptimizationMarket Share AnalysisAd Metric ReportingIncrementality ReportingData QueryingData VisualizationBudget RecommendationsROI Projections

Soft Skills

Organizational SkillsCommunication SkillsPresentation SkillsAnalytical ThinkingProblem-Solving

Tools & Technologies

SnowflakeHexLookerAd PlatformsReporting Tools

Industry Keywords

Media AnalyticsAd OperationsRetailer DataConsumer Behavior TrendsPerformance Benchmarks

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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