Senior Marketing Analyst
New
C
CompanyCamSaaS software
Location: RemoteFull-TimeSenior
Salary$142,000-$158,000 per year
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Job Details
- Experience
- 4 to 7 years of professional experience in marketing analytics, data analysis, or a related analytical role
- Required Skills
- SQLA/B testing
Requirements
- Have marketing analytics experience spanning high-velocity SMB funnels and longer-cycle Mid-Market or ABM motions.
- Have 4 to 7 years of professional experience in marketing analytics, data analysis, or a related analytical role.
- Hold a bachelor’s degree in a quantitative field or have an equivalent combination of education and experience.
- Have strong SQL skills for querying and analyzing large datasets.
- Have experience building dashboards and reports in BI tools, including Omni, Amplitude, and Marketo.
- Understand statistics, experimental design, and common analytical methods.
- Be able to influence and engage stakeholders, including holding your own as the only analyst in the room.
- Communicate clearly in writing and verbally, including presenting complex findings to varied audiences.
- Pay close attention to detail and maintain data accuracy and reproducibility.
- Experience with Python or R, data modeling, data warehousing, cloud data platforms, or analytics engineering teams is preferred.
- Experience in a senior or lead analytics role, as a sole analyst, or in SaaS is preferred.
Responsibilities
- Design and build the marketing measurement framework and KPIs.
- Own marketing analytics strategy and represent analytics in stakeholder conversations.
- Analyze the customer funnel from lead generation through activation, retention, and power users.
- Partner with analytics engineering to shape marketing data models and ensure data is available and trustworthy.
- Conduct segmentation, cohort, time-series, and A/B test analyses.
- Translate business questions into analytical approaches and recommend evidence-based next steps.
- Build and maintain BI dashboards and recurring reports for technical and non-technical audiences.
- Present findings and actionable recommendations in clear summaries.
- Help scope experiments and turn insights into prioritized marketing initiatives.
- Improve reporting automation, analytical tooling, reproducibility, and data quality practices.
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