Product Analyst - Immediate joining- Remote

About TransFi
TransFi powers the world’s payments, helping businesses and individuals access better ways to
move money. Combining industry-leading coverage of currencies and payment methods, we
deliver compliant payouts, collections, and ramp services across Asia, Europe, LatAm, Africa,
and North America. In our pursuit to advance economic prosperity through borderless finance,
TransFi’s enterprise-grade, developer-friendly platform is quietly transforming global
payments—making international money movement faster, simpler, less expensive, and more
reliable than ever.
TransFi is remote first; we believe the best talent comes from across geographies. We are
building for the long term and look for strong owners, builders and big thinkers. Join us if you
want to build the future of Web3.

Roles and Responsibilities of a Product Analyst

1. Data Crunching and Analysis • Order Data Management: Collect, clean, and analyze large datasets related to customer orders to identify trends, patterns, and anomalies. • Data Integrity: Ensure accuracy and consistency in data reporting and analysis by implementing validation and verification processes.
2. Product Flow Funnel Analysis • Funnel Tracking: Develop and monitor product flow funnels to understand customer journey stages, from initial interest to purchase or abandonment. • Conversion Optimization: Identify bottlenecks or drop-off points in the funnel and provide actionable insights to optimize conversion rates and enhance user experience. • Segmentation Analysis: Break down funnel performance by customer segments, demographics, or behaviors to tailor strategies for different user groups.
3. Drop-offs Analysis • Drop-off Investigation: Analyze where and why users abandon the product or service at various stages, using data to pinpoint specific issues. • Root Cause Analysis: Use quantitative and qualitative data to identify root causes of drop-offs and suggest improvements to reduce them. • A/B Testing: Design and implement A/B tests to validate hypotheses about drop-off points and evaluate the effectiveness of proposed changes.
4. Dashboard Creation and Automation • Automated Dashboards: Design and create automated dashboards using tools like Google Sheets, integrating real-time data to provide ongoing visibility into key metrics and KPIs. • Visualization Tools: Utilize visualization tools (e.g., Google Data Studio, Tableau) to create insightful and interactive dashboards that support data-driven decision-making. • Data Integration: Set up automated data pipelines and integrations to ensure seamless data flow between systems and real-time updates on dashboards.
5. Query Writing and Data Management • NoSQL Queries: Write and optimize NoSQL queries to extract, manipulate, and analyze data from non-relational databases, ensuring efficient data retrieval and performance. • Database Management: Collaborate with database administrators to maintain and improve data structures, ensuring that queries are optimized and databases are scalable.
6. Data Slicing and Reporting • Custom Reporting: Create custom reports that provide different views of the data for various teams, including product management, marketing, and sales. • Dynamic Data Slicing: Develop methods to slice and dice data from different perspectives (e.g., time periods, user segments) to uncover insights and support strategic decisions. • Regular Updates: Provide regular updates and ad-hoc reports to stakeholders, highlighting key findings, trends, and areas for improvement.
7. Collaboration and Communication • Stakeholder Engagement: Work closely with product managers, engineers, marketers, and other stakeholders to understand their data needs and provide relevant insights. • Presentations: Communicate findings and recommendations clearly through presentations, reports, and meetings, tailoring the message to different audiences. • Feedback Loop: Establish a feedback loop with teams to continuously improve analysis processes and ensure that data insights are actionable and impactful.
8. Continuous Improvement and Learning • Industry Trends: Stay updated on industry trends and emerging tools/technologies that could enhance data analysis capabilities. • Skill Development: Continuously develop skills in data analysis, visualization, and automation to improve efficiency and effectiveness.

Benefits
• Competitive salary package.
• Remote-first working
• Opportunities for growth.
• A truly agile, fast-paced environment without complex decision-making. Be a part of
truly global and winning team.