Fingerprint is looking to solve the problem of providing high-quality tools for deep data analytics over their Identification API Product, which processes approximately 1 billion requests per month.
Requirements
- 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.
- 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.).
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.
Other
- 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.
- Proficiency in English for clear communication within an international remote team.
- Excellent communication skills and the ability to present complex data clearly to non-technical audiences
- Participation in a shared on-call rotation.
