Insights Lead Analyst, Commerce Analytics (Remote)

Tinuiti

United States

Remote

USD 100,000 - 120,000

Full time

12 days ago

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Benefits offered by this job

Unlimited PTO
Remote work
Healthcare
Retirement match
Parental leave
Learning & development
Equity
Telemedicine

Job summary

Tinuiti is seeking an Insights Lead Analyst, Commerce to own hands‑on analytics for Amazon and Commerce data. You will leverage Amazon Marketing Cloud, Amazon Advertising, and retail data to develop advanced analyses, custom reporting, and actionable insights that guide Client Leads and Commerce teams.

The role emphasizes deep platform expertise and data storytelling in a fully remote setting. You will collaborate with Client Leads, Commerce Media, and other delivery teams, translating data into

Qualifications

  • 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/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, particularly for custom analysis, forecasting, exploratory work, or lightweight modeling.
  • 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.

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 AMC 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.

Skills

Amazon Marketing Cloud
SQL
Python
R
Tableau
Power BI
Looker Studio

Job description

Tinuiti is seeking an Insights Lead Analyst, Commerce to own hands‑on analytics for Amazon and Commerce data. You will leverage Amazon Marketing Cloud, Amazon Advertising, and retail data to develop advanced analyses, custom reporting, and actionable insights that guide Client Leads and Commerce teams.

The role emphasizes deep platform expertise and data storytelling in a fully remote setting. You will collaborate with Client Leads, Commerce Media, and other delivery teams, translating data into

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