Senior Analyst, Analytics
New
S
Spectrum ScienceHealthcare marketing
Remotely from anywhere in the United StatesFull-TimeSenior
Salary75,000 - 95,000 USD per year
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Job Details
- Experience
- 2 –4 years of experience in digital analytics, paid media measurement, or marketing analytics
- Required Skills
- Google AnalyticsMicrosoft ExcelA/B testing
Requirements
- Have a bachelor’s degree from an accredited four-year college or university, or equivalent work experience.
- Bring 2–4 years of experience in digital analytics, paid media measurement, or marketing analytics.
- Have familiarity with Google Analytics 4 or Adobe Analytics.
- Have exposure to media platforms such as Google Ads, Meta, DV360, or LinkedIn.
- Have working knowledge of Google Tag Manager or Tealium.
- Be proficient in Excel.
- A degree in Marketing, Data Management, Economics, Statistics, Mathematics, Data Science, or a related major is preferred.
- Agency experience is a plus.
- Experience with Tableau, Power BI, or Looker is a plus.
- Basic SQL or data manipulation experience is a plus.
- Experience in healthcare, pharma, or regulated industries is a plus.
Responsibilities
- Support the development and maintenance of paid media measurement frameworks across search, social, programmatic, and display.
- Help define and track campaign KPIs and monitor performance for trends, anomalies, and optimization opportunities.
- Analyze cross-channel performance and help prepare recommendations for internal and client review.
- Support website measurement through tagging, tracking, and data quality checks.
- Use GA4, Adobe Analytics, and tag management systems to analyze user behavior, conversion funnels, and content engagement.
- Collaborate with development and strategy teams on tracking implementation.
- Build and maintain dashboards and recurring reports for internal teams and clients.
- Pull and synthesize data from media platforms, web analytics, and third-party vendors, and translate findings into clear narratives.
- Contribute data-driven input to campaign planning and test-and-learn initiatives, including A/B testing and audience segmentation.
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