Remote Data Analyst at Fingerprint

Data Analyst

Posted 9 days ago

We work on turning radical new ideas in the fraud detection space into reality. Our products are developer-focused and our clients range from solo developers to publicly traded companies.

We are a globally dispersed, 100% remote company with a strong open-source focus.

Our flagship open-source project is FingerprintJS (20K stars on GitHub).
We have raised $77M and are backed by Craft Ventures (previously invested in Tesla, Facebook, Airbnb ), Nexus VP (previously invested in Postman, Hasura) and Uncorrelated Ventures (previously invested in Redis, Rollbar & Gradle).

Our highly-talented staff have: attended a top 10 US university, extensive startup experience, been finalists in international competitions, and worked at and with well-known tech companies. See what it is like from our Glassdoor reviews.

Apply now

Are you passionate about data analytics and eager to work on large-scale projects? Fingerprint is looking for a Data Analyst to join our Identification Team. You will play a crucial role in providing high-quality tools for deep data analytics over our Identification API Product, which processes approximately 1 billion requests per month.

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.

Qualifications:

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

Nice to Haves:

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

Technologies:

Our stack: Clickhouse, dbt, Apache Superset (Preset), Prefect
Relevant technologies: Google BigQuery, Amazon Redshift, Snowflake, Apache Druid, Vertica, DataBricks, Apache Airflow, Dataform, Talend, Fivetran, Stitch, Luigi, Dagster, Tableau, Power BI, Looker, Metabase, Redash