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Tinuiti

Performance-driven digital marketing & e-commerce agency

Insights Lead Analyst - Multiple Teams

Data AnalysisConfirmed live in the last 24 hours
Full-timeRemote in USA$105k - $125k

About the Job

Requirements

  • Seven to nine 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 and 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.
  • Strong data storytelling, documentation, quality-control, organization, and cross-functional collaboration skills.
  • Experience supporting Client Leads and Commerce account teams.
  • Comfort using AI tools responsibly to improve analytical efficiency and insight generation.

Responsibilities

  • 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 that should be addressed through stronger analysis, testing, reporting, or measurement.
  • Use Amazon Marketing Cloud, Amazon Advertising, Vendor Central, BI tools, dashboards, and relevant Commerce data environments to support insight generation and decision-making.
  • Build Amazon Marketing Cloud queries and analyses across audiences, campaign performance, new-to-brand outcomes, path-to-purchase behavior, and other custom client questions.
  • Maintain working expertise in Amazon platform capabilities, retail data, and relevant Commerce environments such as Walmart Connect and Scintilla.
  • Identify opportunities to improve reporting, dashboarding, documentation, automation, and Commerce insight-delivery workflows.
  • Use approved AI and automation tools thoughtfully to improve data interrogation, pattern detection, and efficiency while validating outputs rigorously.
  • Query, validate, join, and interpret Amazon advertising and retail data across Sponsored Products, Sponsored Brands, Sponsored Display, Amazon DSP, and other relevant Commerce data sources.
  • Develop advanced and custom reporting, dashboards, visualizations, and performance narratives across key Commerce outcomes, including new-to-brand, share of voice, market share, total sales, and ASIN/SKU performance.
  • Translate Commerce data into clear findings and recommendations: what happened, why it matters, and what should happen next.
  • Design and analyze platform-specific tests, forecasts, scenarios, segmentation, and campaign evaluations that inform media, audience, product, and retail decisions.
  • Build practical, account-specific analytical solutions—including lightweight models, scripts, and prototypes in SQL, Python, R, or approved tools—when they answer a defined Commerce business question.
  • Maintain strong documentation and quality assurance across data sources, logic, methodologies, reporting, and analysis.
  • Maintain a holistic understanding of how Commerce media, marketplace dynamics, retail data, product performance, and client business goals fit together.
  • Keep analytical work focused on business questions, measurement judgment, and decision support—not reporting or technical complexity for its own sake.
  • Partner with Econometrics, Data Science, Client Reporting, and technical teams when work requires formal model development, enterprise-scale reporting, productionization, or data-infrastructure changes.
  • Contribute reusable Commerce query logic, reporting approaches, analytical learnings, and platform best practices that strengthen the broader Insights and Commerce 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 Commerce analyses, reporting, dashboards, and recommendations.
  • Prioritize effectively across Client Leads, Commerce teams, clients, and analytical workstreams.
  • Ask better questions, challenge assumptions, and turn broad requests into practical analytical approaches.
  • Surface data-quality issues, methodology limitations, missing inputs, and performance risks early, with a clear recommendation for next steps.
  • Improve workflows, documentation, automation, and analytical rigor over time.

Desired Qualifications

  • Practical Python and/or R experience, particularly for custom analysis, forecasting, exploratory work, or lightweight modeling.
  • Direct client-facing experience.

About the Company

Tinuiti

Performance-driven digital marketing & e-commerce agency

Tinuiti is a marketing agency that provides performance-driven, full-funnel digital marketing and e-commerce services, helping brands elevate through unified visuals, messaging, and creativity. The company combines strategic planning with hands-on execution, supporting clients from early planning to campaign rollout. Its approach relies on data and algorithms to maximize marketing impact in a privacy-first world, anchored by a proprietary tool called Bliss Point that identifies the optimal level of marketing investment to maximize ROI across channels. Tinuiti differentiates itself with its Bliss Point product, a data-driven, measurement-focused framework, its audience- and channel-specialized strategy, and events like Tinuiti Live that showcase ongoing innovations. The overarching goal is to help brands achieve sustainable growth by delivering precise targeting and persuasive messaging across multiple touchpoints, driving higher ROI and stronger brand performance.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$16.8M
Headquarters
New York City, New York
Founded
2004

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