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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Amazon Marketing Cloud and Amazon Advertising, with strong analytical skills in SQL, Python, and R for e-commerce and retail media analytics. Capable of delivering actionable insights through advanced reporting, data storytelling, and cross-functional collaboration.
Highest-signal resume keywords
Amazon Marketing Cloud ExpertiseSQL ProficiencyAmazon Advertising ExperienceBI/Visualization Tools ExperienceData Storytelling Skills
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Serve as Tinuiti’s hands-on analytics specialist for Amazon and Commerce data
- Develop advanced analyses, custom reporting, testing approaches, and actionable insights
- Build expertise across Amazon Marketing Cloud, Amazon Advertising, and Amazon retail data
- Apply analytical skills to Walmart Connect, Scintilla, and other retail-media platforms as needed
- Partner with Client Leads and Commerce Leads to understand objectives, performance questions, strategic moments, and analytical priorities
- Provide accurate data narratives, technical explanations, reporting, and client-ready recommendations
- Partner with Commerce Media and Commerce Operations teams to inform planning, optimization, investment, and retail decisions
- Join client discussions, business reviews, and technical readouts when specialized Commerce expertise is needed
- Build AMC queries and analyses across audiences, campaign performance, new-to-brand outcomes, path-to-purchase behavior, and custom client questions
- 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 reporting, dashboards, visualizations, and performance narratives covering new-to-brand, share of voice, market share, total sales, and ASIN/SKU performance
- 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 as needed
- Contribute reusable 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
- Own 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 with recommended next steps
- Improve workflows, documentation, automation, and analytical rigor over time
Requirements
What you’ll need- 5–7 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 time off
- 20 paid holidays
- Medical insurance
- Dental insurance
- Vision insurance
- Life insurance
- Disability insurance
- Flex Spending Accounts
- Retirement match up to 4% of contributions at 100%
- Fringe
- Forma
- Unlimited telemedicine at no cost
- Unlimited teletherapy at no cost
- Thankful giving
- Equity
- Birthing parents: 16 weeks of leave with 100% pay
- Partners: 12 weeks of leave with 100% pay
- On-demand learning
- Mentorship program
- Leadership and management development programs and resources
- Monthly variable revenue payment opportunity through RevShare
- Discretionary annual performance bonus
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQL QueryingAudience AnalysisCampaign AnalysisCustom Analytical ApproachesData ValidationForecastingTestingIncrementality ConceptsAnalytical Solutions DevelopmentAutomation
Soft Skills
Cross-Functional CollaborationDocumentation SkillsQuality ControlOrganization SkillsClient-Facing Experience
Tools & Technologies
Amazon AdvertisingTableauPower BILooker StudioAI Tools
Industry Keywords
Commerce AnalyticsRetail MediaE-Commerce AnalyticsMarketing AnalyticsBusiness Intelligence