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
$120k – 150k For cash compensation, we set standard ranges for all US based roles based on function, level and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location.
