Senior Data Analyst, Product Analytics
About The Position
Current is a consumer fintech platform focused on improving financial access and outcomes. The Senior Data Analyst, Product Analytics will play a central role in product and business decision-making, embedded with teams across areas such as banking, user journey and experience, liquidity, and value-added services. The role owns the analytics agenda for an assigned area, from framing questions through recommendations, and works with partners to guide product and business decisions. The analyst leads experimentation, deep-dive and root-cause analyses, business-case development, and strategic roadmap support. The role requires both advanced analytical work, including complex SQL, and the ability to communicate clear recommendations to leadership. It also involves building and maintaining dashboards and reporting, collaborating with analytics and data engineers on data quality and models, using AI tools to improve analytical work, and mentoring other analysts.
Requirements
- Bachelor's degree in a quantitative field such as Statistics, Economics, Mathematics, Computer Science, or a related field, or equivalent practical experience.
- At least 5 years in a data analytics role, including at least 3 years in product analytics, owning multiple concurrent workstreams with a high degree of autonomy.
- 2–3 years in consumer-facing fintech, digital banking, payments, lending, or a similar B2C setting, working with transactional data, product metrics, and customer behavior at scale.
- Advanced SQL in a cloud data warehouse environment such as Snowflake, BigQuery, or Redshift, including window functions, CTEs, and complex joins.
- Python experience for data analysis, automation, and statistical work.
- Strong expertise in experimentation, including A/B/n testing, significance testing, and statistical inference.
- Proven ability to take analytical projects from scoping through delivery and own outcomes, not just outputs.
- Experience building dashboards and reports in Looker or comparable BI tools.
- Strong written and verbal communication skills, including the ability to present findings and recommendations to non-technical stakeholders and leadership.
- Proven ability to use data to change minds and drive decisions.
Nice To Haves
- Direct experience in D2C or consumer fintech, including banking, liquidity, or value-added services.
- Experience building business cases and contributing to roadmaps or strategic planning.
- Hands-on experience with dbt or comparable transformation tools, and familiarity with dimensional modeling.
- Experience using AI tools to improve analytics efficiency and insight generation.
- Experience mentoring analysts or leading cross-functional workstreams, including informally.
- Familiarity with unit economics concepts such as ARPU, contribution profit, and cohort LTV.
Responsibilities
- Own the product analytics agenda for an embedded area, partnering with product, engineering, finance, and business leaders to scope, prioritize, and deliver high-impact analyses.
- Lead the design, execution, and interpretation of experiments, including success metrics, power and sample sizing, statistical inference, and learning briefs.
- Conduct deep-dive and root-cause analyses on trends, funnels, retention, and engagement, translating ambiguous problems into business opportunities.
- Build business cases that size opportunities, quantify impact, and inform investment and roadmap decisions.
- Help department leaders define data-grounded success metrics and strategic roadmaps.
- Provide actionable insights on business performance, customer behavior, and metric trends, and present findings and recommendations to leadership.
- Build and maintain dashboards, reports, and Looker explores tracking product, finance, and operations KPIs.
- Partner with analytics engineers and data engineers to improve data models, definitions, and reliability, and validate outputs before sharing them with stakeholders.
- Use AI tools to improve efficiency in analysis, insight generation, and reporting, and share best practices with the team.
- Mentor and support other analysts and contribute to team standards for analysis design, experimentation, and storytelling.
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 open floor plan, stocked kitchen, and catered lunches
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What This Job Offers
Job Type
Full-time
Career Level
Senior
