Data Analyst, Product Analytics

Current•New York, NY

2d•$130,000 - $175,000

About The Position

Current is a consumer fintech platform focused on expanding financial access and helping members build better financial futures. The Data Analyst, Product Analytics will investigate how members use and experience Current’s products and will be embedded with product and business teams across areas including banking, user journey and experience, liquidity, and value-added services. The analyst will translate business questions into rigorous analyses and clear recommendations, collaborate with product managers, engineers, business leads, and analytics leaders, measure product outcomes, run experiments, and generate insights that inform the product roadmap.

Requirements

Bachelor’s degree in a quantitative field such as Analytics, Statistics, Economics, Mathematics, Computer Science, or a related field.
At least 3 years of experience as a data analyst, ideally in product analytics within B2C, financial services, or technology.
Strong proficiency in SQL for analyses and data development.
Working experience with Python for data analysis.
Experience with A/B testing, experimental design, and statistical inference.
Experience building dashboards and reports in Looker, Tableau, or similar BI tools.
Strong analytical and problem-solving skills, attention to detail, and ability to find important patterns in complex data.
Strong business acumen and ability to translate business questions into analysis plans.
Excellent written and verbal communication skills, including the ability to turn complex data into clear narratives and actionable insights.

Nice To Haves

Familiarity with the fintech industry and banking products.
Experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift.
Experience with product analytics tools and event data such as Amplitude, Mixpanel, or Segment.
Exposure to dimensional modeling concepts and dbt.
Experience using AI tools to improve analytics efficiency.
Familiarity with machine learning techniques and predictive analytics.

Responsibilities

Analyze large datasets to identify trends, patterns, and opportunities in customer behavior, product performance, and the user journey.
Conduct deep-dive and root-cause analyses to explain changes in key metrics and translate ambiguous data into clear recommendations.
Design, run, and interpret A/B tests and other experiments, including success metrics, sample sizing, significance testing, and readouts.
Partner with product managers and engineers to define success metrics and measure the impact of new features and initiatives.
Build and maintain dashboards and reports that track KPIs and provide clear, actionable insights to stakeholders.
Support business cases and prioritization by sizing opportunities and quantifying expected impact.
Communicate findings and recommendations to technical and non-technical audiences, including leadership.
Use AI tools to accelerate analysis, insight generation, and reporting while maintaining accuracy and rigor.
Work with analytics engineers and data engineers to ensure data is accessible, accurate, and high quality.
Uphold data integrity, accuracy, and governance in analyses and reporting.

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 the employee and 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.
Modern NYC-based office with an open floor plan, stocked kitchen, and catered lunches.