Data Analyst, Growth

Current•New York City, NY

6d•$130,000 - $175,000•Onsite

About The Position

As a Data Analyst on the Growth team, you will be at the forefront of understanding our customers. You'll analyze user behavior, their lifecycle, and key metrics to help improve our products, features, and onboarding flows, with the ultimate goal of increasing customer conversion and retention. Working closely with product managers, engineers, data scientists, and marketers, you'll translate business questions into actionable insights that directly impact decisions related to our Improving customer experience and overall business strategy.

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.

Nice To Haves

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.

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 their lifecycle.
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.

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 Chelsea-based office with open floor plan, stocked kitchen, and catered lunches