Job description

DATA ANALYST, PAYMENTS Current is a leading US-based fintech company dedicated to empowering individuals to achieve their financial goals. We're committed to providing innovative and accessible financial solutions, and data plays a crucial role in driving our success. We're looking for a talented and passionate Data Analyst to join our Payments team and help us leverage data to optimize our operations, enhance our products, and deliver exceptional customer experiences. ABOUT THE ROLE As a Data Analyst on the Payments team, you'll be at the forefront of shaping our understanding of customer behavior, payments product performance, and operational efficiency. You'll work closely with product managers, engineers, and other stakeholders to translate business questions into actionable insights. Your work will directly impact key decisions related to our banking products, features, and overall strategy. RESPONSIBILITIES Analyze large datasets to uncover trends, patterns, and improvement opportunities in banking products and services. Build and maintain dashboards and reports to track KPIs and deliver clear insights to stakeholders. Conduct discovery and deep-dive analyses to support data-driven decision-making. Partner with product managers and engineers to define and measure the success of features and initiatives. Design and evaluate experiments to optimize products and enhance customer experience. Monitor and analyze customer behavior across deposits, transactions, and other banking activities. Deliver actionable insights to leadership on emerging trends and innovation opportunities. Work with analytics and backend engineers to ensure accessible, accurate, and high-quality data. Communicate findings and recommendations effectively to both technical and non-technical audiences. Continuously improve data analysis processes and methodologies. Uphold data integrity, accuracy, and governance across analytics pipelines. Support production analytics and fraud response through participation in on-call rotations. REQUIREMENTS 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 relational 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 Python for data analysis. ADDITIONAL DESIRED SKILLS AND QUALIFICATIONS Familiarity with the fintech industry and banking products is a plus. Ability to thrive in a fast-paced, collaborative environment. Exposure to dimensional modeling concepts to power meaningful analytics. Experience building data pipelines in dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience modeling data using dbt. This role has a base salary range of $130,000 - $175,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary Meaningful equity in the form of stock options 401(k) plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Flexible time off and paid holidays Generous parental leave policy Commuter benefits Fitness benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern midtown-based office with open floor plan, stocked kitchen, and catered lunches

Requirements

Must-haves

Analyze large datasets to uncover trends, patterns, and improvement opportunities in banking products and services.
Build and maintain dashboards and reports to track KPIs and deliver clear insights to stakeholders.
Conduct discovery and deep-dive analyses to support data-driven decision-making.
Partner with product managers and engineers to define and measure the success of features and initiatives.
Design and evaluate experiments to optimize products and enhance customer experience.
Monitor and analyze customer behavior across deposits, transactions, and other banking activities.
Deliver actionable insights to leadership on emerging trends and innovation opportunities.
Work with analytics and backend engineers to ensure accessible, accurate, and high-quality data.
Communicate findings and recommendations effectively to both technical and non-technical audiences.
Continuously improve data analysis processes and methodologies.
Uphold data integrity, accuracy, and governance across analytics pipelines.
Support production analytics 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 relational 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 Python for data analysis.
Ability to thrive in a fast-paced, collaborative environment.

Nice-to-haves

Familiarity with the fintech industry and banking products is a plus.
Familiarity with machine learning techniques and predictive analytics is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonmachine learning

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave