Senior Growth Analyst [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 Growth Analyst based in United States.

This is a high-impact growth analytics role at the core of a fast-scaling sports gaming platform, where your work directly informs how acquisition dollars are spent and optimized. You will own the end-to-end attribution and growth measurement stack, connecting user journeys from first touch through activation and retention. The role blends deep technical ownership of data infrastructure with strategic financial modeling that drives executive decision-making. You will operate at the intersection of marketing, product, and finance, translating complex behavioral and revenue data into clear business actions. This is a highly autonomous position where you will define analytical standards, improve data reliability, and shape how growth performance is understood across the company. It is an ideal role for someone who has already built sophisticated growth analytics systems and is ready to own them end-to-end.

Accountabilities:

• Own the full multi-touch attribution system across paid, organic, affiliate, and partnership channels, ensuring accurate mapping of spend to user acquisition and revenue outcomes.
• Manage and optimize key growth tools and data infrastructure, including AppsFlyer configuration, Segment tracking, and Snowflake-based data pipelines.
• Design and maintain dbt models for attribution, cohort analysis, LTV, CAC, and funnel performance measurement.
• Build and refine end-to-end funnel analytics from acquisition through activation, retention, and monetization.
• Develop financial and performance reporting frameworks that inform budget allocation, channel efficiency, and marketing ROI.
• Partner with product, marketing, and finance teams to define key growth metrics, user definitions, and experiment frameworks.
• Analyze contest and product performance to connect user engagement dynamics with acquisition and retention outcomes.
• Establish analytical standards, mentor junior analysts, and improve data quality, documentation, and reporting consistency.
• Leverage AI tools and automation to enhance reporting efficiency, anomaly detection, and scalable insight generation.

Requirements:

• 4–7 years of experience in growth analytics, marketing analytics, or a closely related data-focused role.
• Strong expertise in SQL and experience working with Snowflake or similar cloud data warehouses.
• Hands-on experience with mobile measurement partners such as AppsFlyer, including attribution setup, tracking, and campaign measurement.
• Experience with CDPs such as Segment, mParticle, or equivalent, including schema design and data pipeline management.
• Proven ability to build unit economics models (CAC, LTV, payback, retention curves) and communicate insights to senior stakeholders.
• Strong understanding of A/B testing design, analysis, and interpretation of experiment results.
• Experience building dashboards, reports, and analytics frameworks for business decision-making.
• Excellent communication skills with the ability to simplify complex analytical concepts for non-technical audiences.
• Experience using AI tools (such as Claude) to improve analytical workflows and automation is strongly preferred.
• Strong business intuition with curiosity for user behavior, product engagement, and gaming or sports ecosystems.
• Experience in high-growth, consumer-facing, or subscription-based digital businesses is a plus.

Benefits:

• Competitive salary range of $100,000–$130,000 annually
• Potential equity participation in a high-growth startup environment
• Comprehensive medical, dental, and vision insurance
• 401(k) retirement plan options
• Flexible PTO and remote-first work environment
• Home office stipend
• Annual company retreats, offsites, and team events
• Access to engaging product experiences and company-wide gaming incentives
• Opportunity to shape and scale the core growth analytics function from the ground up.

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.