Data Analyst

Summary

Join Fingerprint's Identification Team as a Data Analyst and play a crucial role in providing high-quality data analytics tools for our Identification API Product, processing 1 billion requests monthly. Develop and maintain dashboards and reports for Customer Success and Sales Engineering. Drive internal adoption of self-service dashboards and foster a data-driven culture. Analyze data to provide insights on Identification accuracy, detect anomalies, and analyze trends. Participate in a shared on-call rotation. This position requires proficiency in SQL, statistics, and experience with analytical storage solutions. Strong coding skills and experience with data visualization tools are also essential.

Requirements

• Proficiency in English for clear communication within an international remote team
• BS/MS in Computer Science or a related field, or equivalent work experience
• 3+ years of experience in Data Analytics, Analytics Engineering, or Data Science
• Proficient SQL skills
• Strong foundation in statistics for designing metrics and experiments
• Practical experience with analytical storage solutions such as Clickhouse, Snowflake, BigQuery, Redshift, Databricks, etc
• Strong coding skills with clean, maintainable code; experience with version control (Git) and collaborative development practices
• Experience building dashboards and using data visualization tools like Apache Superset, Tableau, Metabase, Looker, etc
• Comfortable conducting ad-hoc analysis and presenting findings to cross-functional teams
• Demonstrated experience supporting internal teams by managing and resolving data and reporting requests
• Excellent communication skills and the ability to present complex data clearly to non-technical audiences

Responsibilities

• Develop tools for data analytics on the Identification API Product
• Design, build, and maintain dashboards and reports that support Customer Success and the Sales Engineering organizations
• Drive internal adoption of self-service dashboards and help teams interpret the data for decision making
• Provide insights about Identification accuracy, detect anomalies, and analyze trends in time-series data
• Foster an engineering-focused, data-driven culture within the Fingerprint team by sharing tools and knowledge on effective data analytics approaches
• This role includes participation in a shared on-call rotation. The schedule will be communicated in advance, and we strive to balance coverage equitably while minimizing off-hours disruptions

Preferred Qualifications

• Familiarity with data transformation frameworks and approaches (e.g., dbt, materialized views, data pipeline tools)
• Proficiency with the Python data analytics stack (Numpy, pandas, Jupyter, etc.)
• Understanding of fundamental ML concepts, familiarity with model evaluation metrics

Benefits

$120k - $150k