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Data Analyst, Banking

Posted 7 Days Ago
Easy Apply
Hybrid
New York, NY
130K-175K
Mid level
Easy Apply
Hybrid
New York, NY
130K-175K
Mid level
The Data Analyst will analyze banking data, build dashboards, and provide insights to optimize products and operations in a fintech environment.
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Data Analyst, Banking 

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 Banking 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 Banking team, you'll be at the forefront of shaping our understanding of customer behavior, banking product performance, and operational efficiency. You'll work closely with product managers, engineers, and other stakeholders to translate business questions into actionable insights. Your work will directly impact key decisions related to our banking products, features, and overall 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 deposits, transactions, and other banking activities.
  • 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.

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.

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.

ADDITIONAL DESIRED SKILLS AND QUALIFICATIONS

  • 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.


Top Skills

BigQuery
Dbt
Looker
Python
Redshift
Snowflake
SQL
Tableau

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