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Tinuiti

Senior Manager, Insights

Tinuiti

. Partner with Client Leads and Commerce Leads to understand client objectives, performance questions, strategic moments, and analytical priorities .

Posted 11/4/2026full-timeRemote • United StatesSenior💰 $105,000 - $125,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Commerce Analytics, leveraging tools like Amazon Marketing Cloud and SQL to generate actionable insights and recommendations. Proficient in data storytelling and visualization, ensuring high-quality reporting and collaboration across teams.

Highest-signal resume keywords
Amazon Marketing Cloud ExpertiseSQL ProficiencyAmazon Advertising ExperienceBI/Visualization Tools ExperienceCommerce Measurement Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQL QueryingAudience AnalysisCampaign AnalysisData StorytellingAnalytical Solutions DevelopmentTesting and ForecastingCustom ReportingAutomationDocumentationQuality Control
Soft Skills
Cross-Functional CollaborationOrganizationClient SupportAnalytical RigorCommunication
Tools & Technologies
Amazon Marketing CloudAmazon AdvertisingVendor CentralTableauPower BILooker StudioBI ToolsAI ToolsDashboardsData Environments
Industry Keywords
Commerce AnalyticsRetail MediaE-Commerce AnalyticsMarketing AnalyticsBusiness IntelligenceData QualityPerformance MetricsIncrementalityMarket ShareNew-to-Brand

Tech Stack

Tools & technologies
CloudPythonSQLTableau

About the role

Key responsibilities & impact
  • Partner with Client Leads and Commerce Leads to understand client objectives, performance questions, strategic moments, and analytical priorities
  • Support Client and Commerce Leads with accurate data narratives, technical explanations, reporting, and client-ready recommendations
  • Partner with Commerce Media and Commerce Operations teams to ensure insights inform planning, optimization, investment, and retail decisions
  • Join client discussions, business reviews, and technical readouts when specialized Commerce expertise is needed
  • Identify recurring analytical needs, risks, and growth opportunities
  • Use Amazon Marketing Cloud, Amazon Advertising, Vendor Central, BI tools, dashboards, and relevant Commerce data environments to generate insights
  • Build AMC queries and analyses across audiences, campaign performance, new-to-brand outcomes, path-to-purchase behavior, and custom client questions
  • Maintain expertise in Amazon platform capabilities, retail data, Walmart Connect, and Scintilla
  • Improve reporting, dashboarding, documentation, automation, and Commerce insight-delivery workflows
  • Use approved AI and automation tools to improve data interrogation, pattern detection, and efficiency while validating outputs
  • Query, validate, join, and interpret Amazon advertising and retail data across Sponsored Products, Sponsored Brands, Sponsored Display, Amazon DSP, and other Commerce data sources
  • Develop custom reporting, dashboards, visualizations, and performance narratives
  • Translate Commerce data into findings and recommendations
  • Design and analyze tests, forecasts, scenarios, segmentation, and campaign evaluations
  • Build account-specific analytical solutions, including lightweight models, scripts, and prototypes in SQL, Python, R, or approved tools
  • Maintain documentation and quality assurance across data sources, logic, methodologies, reporting, and analysis
  • Partner with Econometrics, Data Science, Client Reporting, and technical teams when formal modeling, enterprise reporting, productionization, or infrastructure changes are needed
  • Contribute reusable Commerce query logic, reporting approaches, analytical learnings, and platform best practices
  • Stay current on Amazon platform changes, Commerce measurement practices, analytics tools, AI, and retail-media trends
  • Take accountability for the quality, accuracy, timeliness, and usefulness of analyses, reporting, dashboards, and recommendations
  • Prioritize work across Client Leads, Commerce teams, clients, and analytical workstreams
  • Surface data-quality issues, methodology limitations, missing inputs, and performance risks early
  • Improve workflows, documentation, automation, and analytical rigor over time

Requirements

What you’ll need
  • 7–9 years of experience in Commerce analytics, retail media, e-commerce analytics, marketing analytics, business intelligence, or a related field
  • Strong hands-on experience with Amazon Marketing Cloud, including SQL querying, audience analysis, campaign analysis, and custom analytical approaches
  • Strong experience with Amazon Advertising and Amazon retail data, including Sponsored Ads, Amazon DSP, Vendor Central, and related Commerce performance metrics
  • Strong SQL proficiency
  • Experience with BI/visualization tools such as Tableau, Power BI, Looker Studio, or similar
  • Strong understanding of Commerce measurement, including new-to-brand, share of voice, market share, product-level performance, total sales, forecasting, testing, and incrementality concepts
  • Practical Python and/or R experience is preferred
  • Strong data storytelling, documentation, quality-control, organization, and cross-functional collaboration skills
  • Experience supporting Client Leads and Commerce account teams
  • Direct client-facing experience is helpful but not the primary requirement
  • Comfort using AI tools responsibly to improve analytical efficiency and insight generation

Benefits

Comp & perks
  • Unlimited paid time off
  • Fully remote environment
  • Flexible work arrangements
  • 20 paid holidays
  • Medical, dental, vision, life and disability insurance
  • Flexible Spending Accounts
  • Retirement plan with match up to 4% of contributions at 100%
  • Fringe benefits
  • Forma wellness benefits
  • Unlimited telemedicine and teletherapy at no cost
  • Thankful giving
  • Equity
  • Birthing parents receive 16 weeks of leave with 100% pay
  • Partners receive 12 weeks of parental leave
  • On-demand learning
  • Mentorship program
  • Leadership and management development programs and resources
  • Monthly variable revenue payment opportunity through RevShare
  • Discretionary annual performance bonus