Data Analyst, Payments Platform, Mid-Level
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Data Analyst, Payments Platform, Mid-Level Join to apply for the Data Analyst, Payments Platform, Mid-Level role at Jobright.ai Data Analyst, Payments Platform, Mid-Level 2 days ago Be among the first 25 applicants Join to apply for the Data Analyst, Payments Platform, Mid-Level role at Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Current is a leading consumer fintech banking platform transforming financial access for everyday Americans. They are seeking a Data Analyst for their Payments Platform team to analyze transactional data, optimize operations, and enhance products. The role involves collaborating with various stakeholders to translate business questions into actionable insights that influence key decisions. Responsibilities:
- Analyze large datasets to uncover trends, patterns, and improvement opportunities related 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, integrity, 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 enable experimentation, define success 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.
- Perform ledger and ACH reconciliations, identify discrepancies, and support fund settlement processes across internal and partner systems.
- Conduct opportunity sizing analyses, develop forecasting models, and present data-driven insights to influence strategic decision-making.
- Collaborate with analytics and backend engineers to maintain data integrity, 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.
- Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Computer Science, or a related 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, Snowflake, 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 complex 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.
- Familiarity with the fintech industry and banking or payments domain is a plus.
- Experience with NoSQL databases such as MongoDB is a plus.
- Ability to thrive in a fast-paced, collaborative environment.
- Exposure to dimensional modeling concepts to power meaningful analytics.
- Familiarity with machine learning techniques and predictive analytics is a plus.
$155k - $170k
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