Senior Data Analyst, Marketing Analytics [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analyst, Marketing Analytics based in the United States.

This is an exciting opportunity for an experienced analytics professional to serve as a strategic partner to marketing teams, transforming complex data into actionable business insights. In this role, you will help optimize acquisition, engagement, retention, and revenue through advanced marketing analytics, reporting, and measurement frameworks. Working cross-functionally with marketing, business, and data teams, you will develop executive dashboards, improve attribution models, and deliver recommendations that shape strategic decision-making. The position combines hands-on technical analysis with stakeholder collaboration, making it ideal for someone who enjoys solving business challenges through data. You will thrive in a fully remote, fast-paced environment where innovation, analytical rigor, and continuous improvement are highly valued.

Accountabilities

• Serve as the primary analytics partner supporting marketing initiatives across multiple business lines, providing strategic insights that improve business performance.
• Develop, maintain, and enhance reporting frameworks to measure marketing campaign effectiveness across various acquisition and engagement channels.
• Analyze campaign performance, customer journeys, conversion funnels, audience behavior, and retention metrics to identify growth opportunities.
• Build and manage marketing attribution models that support data-driven budgeting, optimization, and investment decisions.
• Support conference and membership marketing initiatives through registration analysis, engagement reporting, audience segmentation, and lifecycle analytics.
• Design executive dashboards and recurring reports that communicate business performance and actionable insights to senior leadership.
• Write advanced SQL queries to analyze large datasets and develop scalable reporting solutions using business intelligence tools such as Tableau.
• Collaborate with Data Engineering and Analytics Engineering teams to improve data quality, reporting capabilities, and analytical infrastructure.
• Support experimentation initiatives by measuring A/B tests, evaluating campaign performance, and delivering recommendations based on statistical analysis.
• Conduct ad hoc analyses to identify trends, business risks, and strategic opportunities while acting as a trusted advisor to cross-functional stakeholders.

Requirements

• Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, Marketing Analytics, Business Analytics, or another quantitative discipline.
• 5–7 years of experience in data analytics, business intelligence, marketing analytics, or a related analytical role.
• Advanced SQL expertise with the ability to independently analyze large and complex datasets.
• Strong experience developing dashboards and visualizations using Tableau or comparable business intelligence platforms.
• Experience working with cloud-based data platforms such as Snowflake.
• Solid understanding of marketing analytics, campaign measurement, attribution modeling, customer lifecycle analysis, cohort analysis, retention metrics, and lifetime value modeling.
• Experience communicating analytical findings and business recommendations to senior stakeholders and executive leadership.
• Excellent analytical, problem-solving, organizational, and communication skills.
• Ability to manage multiple priorities and collaborate effectively with cross-functional teams in a fast-paced environment.
• Experience supporting marketing, subscription, membership, SaaS, media, conference, or event-driven organizations is considered an advantage.
• Familiarity with Google Analytics (GA4), dbt, modern data stack technologies, Python, or other analytical programming languages is a plus.
• Experience designing, measuring, and evaluating A/B tests and marketing experiments is preferred.
• Applicants must reside in one of the following U.S. states: California, Colorado, Florida, Kansas, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Texas, Utah, Virginia, or Washington.

Benefits

• Salary range of $110,000–$125,000 per year.
• Fully remote work within eligible U.S. states.
• Employer-subsidized medical, dental, and vision insurance.
• 401(k) retirement plan with employer matching contributions.
• Home office equipment allowance.
• Monthly technology stipend.
• Thirteen paid company holidays annually.
• Flexible paid time off.
• Annual performance-based bonus.
• Annual company-wide offsite event.
• Collaborative, inclusive, and remote-first work environment.
• Opportunities to contribute to high-impact, data-driven business initiatives and professional growth.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.