A leading data analytics firm based in New York is seeking a versatile data professional to join their dynamic team. This hybrid role requires strong analytical and engineering skills to build data infrastructure and discover insights. The ideal candidate will work across the entire data stack, from pipeline development to statistical modeling, and partner with various teams to deliver actionable insights. A competitive salary of $80,000 to $150,000 is offered, reflecting your experience and qualifications.
Qualifications
Strong experience with modern data stack tools like dbt and Airflow.
Proven ability to design and manage ETL pipelines.
Hands-on experience with blockchain data extraction.
Responsibilities
Build and maintain data pipelines for analyses and dashboards.
Develop statistical models and data science solutions.
Create self-serve analytics tools for stakeholders.
Design experiments to measure product and marketing initiatives.
Skills
Strong experience with modern data stack tools
Advanced SQL skills
High proficiency in Python
Strong statistical analysis skills
Experience with blockchain data extraction
Tools
dbt
Airflow/Dagster
Snowflake
BigQuery
Redshift
Job description
A leading data analytics firm based in New York is seeking a versatile data professional to join their dynamic team. This hybrid role requires strong analytical and engineering skills to build data infrastructure and discover insights. The ideal candidate will work across the entire data stack, from pipeline development to statistical modeling, and partner with various teams to deliver actionable insights. A competitive salary of $80,000 to $150,000 is offered, reflecting your experience and qualifications.