Senior Manager, Insights, Amazon Focus

Tinuiti•Remote -CA, CA

1d•$105,000 - $125,000•Remote

About The Position

Tinuiti is hiring a Senior Manager, Insights to serve as a hands-on analytics specialist for Amazon and Commerce data. The role develops advanced analyses, custom reporting, testing approaches, and actionable insights using Amazon Marketing Cloud, Amazon Advertising, Amazon retail data, and related Commerce platforms. Amazon is the core platform, with work also extending to other retail-media platforms such as Walmart Connect and Scintilla as client and business needs require. The position works closely with Client Leads, Commerce Media, Commerce Operations, and other internal delivery teams to produce high-quality analysis, client-ready narratives, and specialized platform expertise. It participates in client discussions when technical or analytical depth is needed and supports decisions about planning, optimization, investment, and retail performance. The role emphasizes business-focused measurement and decision support, careful validation and documentation, and collaboration with specialist teams when work requires formal modeling, enterprise-scale reporting, productionization, or infrastructure changes. This role is 100% remote. The stated hiring salary range is $105,000–$125,000, with an incentive program that includes a monthly variable revenue payment opportunity and a discretionary annual performance bonus.

Requirements

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 and experience with BI or 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.

Nice To Haves

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

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 so 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 can 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 generate insights and support decisions.
Build Amazon Marketing Cloud queries and analyses covering audiences, campaign performance, new-to-brand outcomes, path-to-purchase behavior, and 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, dashboards, documentation, automation, and Commerce insight-delivery workflows.
Use approved AI and automation tools thoughtfully to improve data interrogation, pattern detection, and efficiency, while rigorously validating outputs.
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 custom reporting, dashboards, visualizations, and performance narratives across outcomes including new-to-brand, share of voice, market share, total sales, and ASIN/SKU performance.
Translate Commerce data into clear findings and recommendations explaining what happened, why it matters, and what should happen next.
Design and analyze platform-specific tests, forecasts, scenarios, segmentation, and campaign evaluations to 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, to answer defined Commerce business questions.
Maintain documentation and quality assurance for 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 rather than technical complexity or reporting 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 to 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 clear recommendations for next steps.
Improve workflows, documentation, automation, and analytical rigor over time.

Benefits

Unlimited paid time off.
20 paid holidays.
Fully remote work environment and flexibility to take time off.
Medical insurance.
Dental insurance.
Vision insurance.
Life and disability coverage.
Flexible Spending Accounts.
Retirement plan match of up to 4% of contributions at 100%.
Fringe and Forma perks and wellness programs.
Unlimited telemedicine and teletherapy at no cost.
Parental leave: 16 weeks at 100% pay for birthing parents and 12 weeks for partners after birth or adoption.
On-demand learning, mentorship, and leadership and management development programs and resources.
Monthly variable revenue payment opportunity through the RevShare incentive program.
Discretionary annual performance bonus.
Equity.