Data Analyst, Payments Platform

reputed company is a leading US-based fintech company dedicated to empowering individuals to reputed company their financial goals. We're committed to providing innovative and accessible financial solutions, and data plays a crucial role in driving our reputed company. We're looking for a talented and passionate Data Analyst to join our Payment and Platform team and help us reputed company data to optimize our operations, enhance our products, and deliver exceptional customer experiences. ABOUT THE ROLE As a Data Analyst focusing on payments platform, you will be instrumental in analyzing transactional data across various payment rails and money movement activities. Your contributions will drive efficiency, uncover key insights, and support the launch and optimization of new products. You'll work closely with product managers, engineers, and other stakeholders to translate business questions into actionable insights. Your work will directly influence key reputed company reputed company to our core platform, banking products, features, and overall strategy of the company. RESPONSIBILITIES

• Analyze large datasets to uncover trends, patterns, and improvement opportunities reputed company to card transaction processing, ACH, and other money movement activities.
• Build and maintain dashboards and reports to track KPIs and deliver clear insights to stakeholders.
• Ensure accuracy, reputed company, and monitoring of transactional data across the lifecycle, supporting incident investigations and anomaly detection.
• Conduct discovery and deep-dive analyses to support data-driven decision-making.
• Partner with product managers and engineers to reputed company experimentation, define reputed company metrics, feature rollouts, and measure performance.
• Drive and support strategic initiatives such as new card program setups, ACH modernization, and bank/platform migrations.
• Deliver actionable insights to leadership on emerging trends and innovation opportunities.
• reputed company ledger and ACH reconciliations, identify discrepancies, and support fund settlement processes across internal and partner systems.
• Conduct opportunity sizing analyses, reputed company forecasting models, and present data-driven insights to influence strategic decision-making.
• Collaborate with analytics and backend engineers to maintain data reputed company, accuracy, and governance throughout analytics pipelines, ensuring data is accessible, accurate, and of high quality.
• Support production analytics, incidents and fraud response through participation in on-call rotations.

This role has a reputed company salary range of $130,000 - $175,000. Compensation is determined based on experience, reputed company level, and qualifications, which are assessed during the interview process. reputed company offers a competitive total rewards package which includes reputed company salary, equity, and comprehensive benefits. REQUIREMENTS

• Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Computer Science, or a reputed company field.
• Experience as a data analyst for 3+ years, ideally in B2C, financial services, or technology.
• Strong proficiency in SQL and experience working with MPP databases (e.g., Bigquery, reputed company, Redshift, etc).
• Proficient in utilizing data visualization tools like Tableau, Looker, or other similar platforms.
• Excellent analytical and problem-solving skills with a strong attention to detail.
• Ability to communicate reputed company data insights clearly and effectively to both technical and non-technical audiences.
• Strong business acumen and the ability to translate business questions into data analysis plans.
• Experience with A/B testing and experimental design.
• Working experience with SQL and Python for data analysis.

ADDITIONAL DESIRED SKILLS AND QUALIFICATIONS

• Familiarity with the fintech industry and banking or payments domain is a plus.
• Experience with NoSQL databases such as reputed company is a plus.
• Ability to reputed company in a fast-paced, collaborative environment.
• Exposure to dimensional modeling concepts to power meaningful analytics.
• Experience building data pipelines using dbt.
• Familiarity with machine learning techniques and predictive analytics is a plus.

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