Marketing Analyst
New
A
Agility RoboticsRobotics automation
This is a fully remote role. All of our roles are U.S.-based.Full-TimeMiddle
SalaryAnticipated Base Salary Range $93,000 — $145,000 USD
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Job Details
- Experience
- 4-6 years of experience in marketing analytics, business analytics, or a related role.
- Required Skills
- Microsoft Power BISalesforceGoogle AnalyticsTableauMicrosoft ExcelA/B testingHubSpotGoogle SheetsLooker
Requirements
- Have 4-6 years of experience in marketing analytics, business analytics, or a related role.
- Demonstrate strong Excel or Google Sheets skills, including pivot tables and advanced formulas.
- Have experience building reports or dashboards in Power BI, Tableau, or Looker.
- Have experience with web or marketing analytics tools, such as Google Analytics, ad platform reporting, or Semrush.
- Understand core marketing metrics, including conversion rates, funnel stages, and campaign ROI.
- Show strong attention to detail and a habit of checking your work.
- Communicate findings clearly to non-technical audiences, in writing and verbally.
- Be comfortable working independently, prioritizing requests, and asking questions when something is vague.
- Preferred: Bachelor's degree in Marketing, Business, Statistics, Economics, Data Science, or a related field.
- Preferred: Experience with CRM or marketing automation data, such as Salesforce or HubSpot.
- Preferred: Interest in AI tools and how to implement, use, and measure them.
Responsibilities
- Build and maintain dashboards and recurring reports in a BI tool for marketers and leaders.
- Pull and analyze data from CRM, ad platforms, web analytics, and social platforms.
- Run pre- and post-campaign analyses covering channel, creative, audience, and timing, and recommend improvements.
- Set up and analyze A/B tests and other experiments, document results, and provide recommendations.
- Prepare recurring performance readouts and scorecards for marketing leadership.
- Work with marketers to define program metrics and KPIs, and document definitions, data sources, and methodologies.
- Check data for gaps, anomalies, and inconsistencies, and investigate causes with tool owners.
- Present findings clearly to non-technical teammates with recommendations.
- Perform ad hoc analyses as needed.
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