What are the responsibilities and job description for the Data Analyst, Growth position at Current?
DATA ANALYST, GROWTH
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 Growth 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 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.
Responsibilities
Benefits
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 Growth 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 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.
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.
- 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.
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
Salary : $130,000 - $175,000