Senior Data Analyst, Marketing

Key Responsibilities

Data Analysis & Strategic Insights

• Analyze marketing data to uncover trends, identify performance gaps, and recommend improvements to increase MQL generation.

• Assist in developing and executing data-informed marketing strategies aligned with business goals.

• Support A/B testing and experimentation to optimize campaign outcomes and website performance.

• Design learning plans that foster continuous, systemic improvement in digital performance.

Reporting & Dashboard Development

• Build and maintain real-time dashboards to monitor key marketing metrics.

• Prepare detailed performance and ROI reports, turning complex data into clear, actionable insights.

• Tell compelling, data-backed stories that drive decision-making across the organization.

Cross-Functional Collaboration & Communication

• Work closely with marketing teams to gather data requirements and deliver insights that inform strategy.

• Partner with product and technology teams to ensure data consistency, accuracy, and accessibility.

• Translate technical findings into business-friendly language and lead weekly/monthly performance review sessions.

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Performance Metrics to Own

• Actual vs. Projected Website Sessions

• Actual vs. Projected Conversion Rates

• Root cause analysis and explanations of marketing performance variances

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Required Skills & Experience

• Minimum 5 years in an analytics role, including 2+ years focused on digital analytics

• Proficiency with SQL, Python, or R for data analysis

• Experience using data visualization platforms like Power BI or Tableau

• Solid understanding of digital marketing channels including SEO, SEM, email, and social media

• Experience with Google Analytics or similar web analytics tools

• Strong analytical thinking and problem-solving capabilities

• Excellent communication and storytelling skills, both written and verbal

• Ability to work independently and as part of a collaborative team

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Preferred Qualifications

• Familiarity with statistical modeling

• Understanding of ETL processes and data warehousing

• Exposure to machine learning or AI applications in marketing analytics

• Background in data science is beneficial

• Certifications in SQL, Python, or R are a plus

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Education

• Bachelor’s degree in Marketing Analytics, Data Analysis, or a related quantitative field

• Equivalent experience considered in lieu of formal education

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What You’ll Gain

• The chance to collaborate with a skilled team of data analysts and marketers

• Opportunities to make a measurable impact on the company’s marketing success

• Ongoing learning and professional development in a data-focused environment

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Compensation

• Base Salary Range: $76,600 – $99,600 annually

• Final compensation depends on location, experience, skills, and other factors. Additional earnings may be influenced by incentives, commissions, performance, or overtime where applicable.

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