Senior Data Analyst, Growth

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analyst, Growth in United States.

This role focuses on turning complex growth marketing and product data into actionable insights that drive client acquisition, retention, and business growth. You will work in a fast-paced, high-growth environment where speed, accuracy, and measurable impact are essential. The position combines data engineering, analytics, and experimentation to support cross-functional teams, optimize marketing funnels, and inform strategic decisions. You will own end-to-end data management, from building pipelines and dashboards to designing experiments and automating reporting workflows. Success in this role depends on both technical expertise and strong business acumen, enabling you to translate data into meaningful, scalable growth strategies. The environment is fully remote, collaborative, and focused on innovation, efficiency, and high-impact outcomes.

Accountabilities

• Build and maintain growth marketing data pipelines and automated reporting workflows to ensure accurate, timely insights.
• Design dashboards, performance reports, and metrics to track acquisition, retention, and full-funnel marketing effectiveness.
• Translate business and marketing questions into actionable analyses, modeling, and experiments.
• Lead A/B testing and experimentation frameworks, analyzing results to generate clear recommendations.
• Collaborate with cross-functional teams including analysts, engineers, and marketing to ensure data integrity and usability.
• Dive into large datasets to create scalable models and data solutions that inform product and marketing strategies.
• Provide ad-hoc insights for campaigns, client onboarding, and leadership decision-making.
  
  

Requirements

• 7+ years of experience in data analysis with deep understanding of growth marketing KPIs and product metrics.

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• Strong proficiency in SQL (complex joins, CTEs, analytical functions) and hands-on Python experience.
• Experience with data pipeline management and workflow orchestration tools.
• Familiarity with dbt is a plus, though not required.
• Hands-on experience designing and analyzing experiments, A/B tests, or growth initiatives.
• Ability to create intuitive dashboards and visualizations to communicate complex insights clearly.
• Strong business acumen with ability to translate data into actionable growth strategies.
• Excellent communication skills for technical and non-technical audiences.
• Degree in analytics, software engineering, economics, or a related analytical discipline.
• Based in the US, with flexibility on working hours to collaborate with globally distributed teams.
  
  

Benefits

• Competitive salary with performance-based rewards.

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• Comprehensive medical, dental, vision, disability, and life insurance coverage.
• 401(k) savings plan with company match and paid family leave.
• Flexible Paid Time Off (PTO) policy and paid holidays.
• Fully remote work environment supporting autonomy and flexibility.
• Opportunities for professional growth, continuous learning, and experimentation leadership.
• Inclusive, mission-driven culture valuing diversity, innovation, and collaboration.
  
  

Why Apply Through Jobgether?

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!

Why Apply Through Jobgether?

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.