Product Analyst

Overview

This opportunity is offered on behalf of a partner organization seeking a Product Analyst located in the United States. The role involves converting detailed product and user data into meaningful insights that drive growth and improve customer experiences. Positioned at the crossroads of analytics, product management, and business strategy, the analyst will optimize product performance across digital platforms through data-driven decisions. Collaborative work with cross-functional teams is essential to evaluate new product features, enhance user journeys, and discover opportunities to increase engagement and revenue. This position is fully remote, fast-paced, and fosters innovation, ownership, and continuous learning, making it ideal for analytical professionals aiming to influence product strategy and results.

Key Responsibilities

• Examine product metrics and user behavior to uncover trends, growth possibilities, and areas needing enhancement.
• Define, track, and enhance core product indicators, including retention, conversion rates, customer lifetime value, revenue, and churn.
• Create and upkeep dashboards and reports that facilitate data-informed decisions for Product, Marketing, and Operations.
• Perform comprehensive analysis on customer journeys, feature usage, promotional efforts, and overall product performance.
• Collaborate closely with Product Managers to assess new product launches, updates, and A/B testing outcomes.
• Identify user experience obstacles and propose improvements grounded in data analysis.
• Work with data teams to guarantee the accuracy, consistency, and availability of analytical data.
• Translate complex data insights into clear recommendations tailored for both technical and business stakeholders.
• Assist in customer segmentation, personalization projects, and market research aimed at enhancing user engagement and business success.

Qualifications

• Demonstrated experience as a Product Analyst, Data Analyst, or related analytical role involving digital products.
• Proficient in SQL and experienced handling large datasets.
• Skilled in business intelligence tools like Tableau, Power BI, Looker, or their equivalents.
• Thorough understanding of product analytics, customer behavior analysis, experimentation frameworks, and A/B testing techniques.
• Familiarity with event-driven analytics platforms such as Google Analytics 4, Amplitude, Mixpanel, or similar platforms is beneficial.
• Knowledge of digital product monetization strategies, customer lifecycle management, or online platform analytics is advantageous.
• Strong analytical reasoning, problem-solving aptitude, and meticulous attention to detail.
• Excellent communication skills to effectively present insights to varied audiences, technical and non-technical alike.
• Experience with Python or statistical analysis software is a plus.
• Self-driven, flexible, and experienced in collaborative remote environments.

Benefits

• Attractive compensation package.
• Opportunity to work fully remote with location flexibility.
• Flexible scheduling to support a healthy work-life balance.
• 28 days of paid annual leave.
• Three paid sick days without needing medical documentation.
• Additional leave granted based on tenure.
• A day off on your birthday.
• Career progression and opportunities for long-term growth.
• A supportive, international, and collaborative remote-first team culture.

Additional Information

This position is listed by a partner company that manages all application processes independently. The hiring partner implements an AI-driven matching system to evaluate candidates swiftly and impartially by assessing fit with the role's requirements. The shortlist is forwarded directly to the hiring company, which handles subsequent steps such as interviews and assessments. Applications are subject to data privacy regulations including GDPR, ensuring all personal data is processed lawfully. AI tools may support resume review and application analysis, aiding recruiters but not replacing human decisions. Final employment choices rest with human decision-makers.