Data Analyst at Fingerprint

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Data Analyst at Fingerprint. Location Information: Anywhere in the World. . . Headquarters:. Chicago, IL . URL:. . https://fingerprint.com. . . 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. . . To apply:. . https://weworkremotely.com/remote-jobs/fingerprint-data-analyst.