Data Analyst

Fingerprint
empowers developers to stop online fraud at the source.

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 Venture Partners (previously invested in Postman, , MinIO, Druva) and Uncorrelated Ventures (previously invested in Redis, Rollbar & Gradle).

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the domain. Any outreach claiming to be from Fingerprint via other sources should be ignored.
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

Compensation Range
For
US-based employees
, the cash compensation range for this role is
$100,000 – $160,000
. We set standard ranges for all US roles based on function, level, and geographic location, benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency, we share salary ranges on all job postings.
However, these ranges are specific to the hiring location and may differ within or outside the US.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the domain. Any outreach claiming to be from Fingerprint via other sources should be ignored.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the domain. Any outreach claiming to be from Fingerprint via other sources should be ignored.
Offers vary depending on, but not limited to, relevant experience, education, certifications/licenses, skills, training, and market conditions.

Due to regulatory and security reasons, there's a small number of countries where we cannot have Fingerprint teammates based.
Additionally, because Fingerprint is an all-remote company and people can join our workforce from almost any country, we do not sponsor visas. Fingerprint teammates need to be authorized to work from their home location
.

We are dedicated to creating an inclusive work environment for everyone. We embrace and celebrate the unique experiences, perspectives and cultural backgrounds that each employee brings to our workplace. Fingerprint strives to foster an environment where our employees feel respected, valued and empowered, and our team members are at the forefront in helping us promote and sustain an inclusive workplace. We highly encourage people from underrepresented groups in tech to apply.

If you are applying as a resident of California, please read our CCPA notice here

If you are applying as a resident of the EU, please read our GDPR notice here