Data Analyst, Banking
- New York City, NY
- $130,000-175,000 per year
- Permanent
- Full-time
- 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.
- 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.
- 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 Chelsea-based office with open floor plan, stocked kitchen, and catered lunches