Insights Lead Analyst, Amazon Focus

Tinuiti•Remote -CA, CA

5d•$100,000 - $120,000•Remote

About The Position

Tinuiti is hiring an Insights Lead Analyst focused on Amazon and Commerce analytics. This hands-on analytics specialist will use Amazon Marketing Cloud, Amazon Advertising, Amazon retail data, and related Commerce platforms to develop advanced analyses, custom reporting, testing approaches, and actionable insights that help Client Leads and Commerce teams make informed decisions. Amazon is the core platform for the role, with work across Walmart Connect and Scintilla as client and business needs require. The analyst will collaborate with Client Leads, Commerce Media, Commerce Operations, and other internal delivery teams, producing high-quality analysis, client-ready narratives, and specialized platform expertise. The role may participate in client discussions when technical or analytical depth is needed. It emphasizes business-focused measurement and decision support, accurate and well-documented work, effective cross-functional partnership, and continual improvement of analytics workflows. This role is 100% remote. The hiring salary range is $100,000–$120,000, with an incentive pay program that includes a monthly variable revenue payment opportunity and a discretionary annual performance bonus. Tinuiti offers benefits including unlimited PTO, 20 paid holidays, healthcare coverage, retirement matching, wellness and other perks, parental leave, and learning and development resources.

Requirements

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 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.
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.
Experience supporting Client Leads and Commerce account teams; direct client-facing experience is helpful but is not the primary requirement.

Responsibilities

Partner with Client Leads and Commerce Leads to understand client objectives, performance questions, strategic moments, and analytical priorities.
Provide Client and Commerce Leads with accurate data narratives, technical explanations, reporting, and client-ready recommendations.
Work with Commerce Media and Commerce Operations teams so insights inform planning, optimization, investment, and retail decisions.
Participate in client discussions, business reviews, and technical readouts when specialized Commerce expertise is needed.
Identify recurring analytical needs, risks, and growth opportunities to address through 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 other custom client questions.
Maintain working expertise in Amazon platform capabilities, retail data, Walmart Connect, Scintilla, and relevant Commerce environments.
Identify improvements to 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 sources.
Develop custom reporting, dashboards, visualizations, and performance narratives covering outcomes such as 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.
Create 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 strong documentation and quality assurance for data sources, logic, methodologies, reporting, and analysis.
Maintain a holistic understanding of Commerce media, marketplace dynamics, retail data, product performance, and client business goals.
Keep analytical work focused on business questions, measurement judgment, and decision support rather than 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 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 next-step recommendations.
Improve workflows, documentation, automation, and analytical rigor over time.

Benefits

Unlimited paid time off.
20 paid holidays.
Fully remote environment and flexibility to take time off as needed.
Medical, dental, vision, life, and disability coverage.
Flexible Spending Accounts.
Retirement plan match up to 4% of contributions at 100%.
Fringe and Forma perks and wellness offerings.
Unlimited telemedicine and teletherapy at no cost.
Thankful giving.
Equity.
Birthing parents receive 16 weeks of leave at 100% pay after birth or adoption; partners receive 12 weeks.
On-demand learning.
Mentorship program.
Leadership and management development programs and resources.
Monthly variable revenue payment opportunity and discretionary annual performance bonus.