Manager, Marketing Analytics (Channel & Partner Performance)

JobgetherPerformance marketing

Based in the United StatesFull-TimeManager

Salary124,500 - 143,000 USD per year

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Job Details

Experience: At least 6 years of experience in marketing analytics, data analysis, or another quantitative role.
Required Skills: SQLMicrosoft Power BISnowflakeTableauMicrosoft ExcelLooker

Have at least 6 years of experience in marketing analytics, data analysis, or another quantitative role.
Bring hands-on experience with at least one paid or partner marketing channel, such as Paid Search, Paid Social, Display, or Affiliate.
Have strong SQL skills and experience working with cloud data warehouses; Snowflake experience is preferred.
Have experience developing dashboards and reports with Sigma BI or comparable platforms such as Tableau, Looker, or Power BI.
Have advanced Excel skills and the ability to work confidently with complex datasets.
Understand marketing measurement concepts, including attribution windows, CPA, and MER.
Have a bachelor's degree in a STEM field or another quantitative discipline preferred.
Communicate analytical findings to non-technical stakeholders and executive audiences.
Manage multiple priorities with ownership and accountability in a fast-paced, high-volume environment.
Be open to constructive feedback and maintain reliable attendance in a full-time role.

Build, maintain, and improve Sigma dashboards and reporting tools for Marketing, Finance, and leadership.
Own marketing measurement and attribution across Paid Search, Paid Social, Display, and Affiliate/Partner channels.
Analyze channel and partner economics, including CPA, MER, spending, conversion performance, and payout structures.
Write, maintain, and optimize SQL queries against the Snowflake data warehouse.
Create integrated datasets across marketing spend, leads, and enrollments.
Translate business questions into structured analyses, conclusions, and actionable recommendations.
Collaborate with Marketing, Finance/FP&A, and Data Engineering to source, validate, document, and govern data.
Prepare executive-ready reports and presentations with figures, insights, and recommendations.
Mentor analysts on methodology, data rigor, and communication of findings.
Support business planning and performance evaluation through forecasting, scenario analysis, and contribution-margin insights.

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