Current Data Analyst, Product Analytics at Current responsible for analyzing member usage and product experience data. Collaborates with product managers and engineers to measure impact and run experiments.
Responsibilities
As a Data Analyst, Product Analytics, you will be at the forefront of understanding how our members use and experience Current's products. You will be embedded with product and business teams across areas such as banking, user journey and experience, liquidity, and value-added services, translating business questions into rigorous analyses and clear recommendations. You will work closely with product managers, engineers, business leads and analytics leaders to measure what matters, run experiments, and uncover the insights that shape our roadmap. You enjoy digging into data to understand not just what happened, but why.
Analyze large datasets to uncover trends, patterns, and opportunities across customer behavior, product performance, and the user journey.
Conduct deep-dive and root-cause analyses to explain changes in key metrics and turn 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 deliver clear, actionable insights to stakeholders.
Support business cases and prioritization by sizing opportunities and quantifying expected impact.
Communicate findings and recommendations effectively to both technical and non-technical audiences, including leadership.
Use AI tools to speed up analysis, insight generation, and reporting while keeping accuracy and rigor.
Work with analytics engineers and data engineers to ensure accessible, accurate, and high-quality data.
Uphold data integrity, accuracy, and governance across your analyses and reporting.
Qualification
Experience with A/B testing
Required
Bachelor's degree in a quantitative field such as Analytics, Statistics, Economics, Mathematics, Computer Science, or a related field.
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 with attention to detail, and the ability to find the needle in the haystack.
Strong business acumen and the ability to translate business questions into analysis plans.
Excellent written and verbal communication skills, with the ability to turn complex data into clear narratives and actionable insights.
Preferred
Familiarity with the fintech industry and banking products.
Experience working with cloud data warehouses (e.g., BigQuery, Snowflake, Redshift).
Experience with product analytics tools and event data (e.g., Amplitude, Mixpanel, Segment).
Exposure to dimensional modeling concepts and dbt.
Experience using AI tools to improve analytics efficiency.
Familiarity with machine learning techniques and predictive analytics.
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.
