A leading go-to-market firm is seeking a versatile data professional in New York City. This hybrid role combines analytical skills with engineering capabilities to build and maintain data systems. Responsibilities include developing data pipelines, creating self-serve analytics tools, and collaborating with teams to drive insights. The ideal candidate has strong experience with modern data stack tools and is well-versed in statistical analysis and data science. Benefits include competitive salary, health insurance, and a remote work environment.
Qualifications
Strong experience with modern data stack tools.
Proven ability to design and manage ETL pipelines.
Hands-on experience using Python data science stack.
Responsibilities
Build and maintain data pipelines for analyses.
Develop statistical models and data science solutions.
Create self-serve analytics tools for stakeholders.
Skills
SQL
Python
Data modeling principles
Statistical analysis
ETL pipelines
Cloud data platforms
Tools
dbt
Airflow
Snowflake
BigQuery
Redshift
Job description
A leading go-to-market firm is seeking a versatile data professional in New York City. This hybrid role combines analytical skills with engineering capabilities to build and maintain data systems. Responsibilities include developing data pipelines, creating self-serve analytics tools, and collaborating with teams to drive insights. The ideal candidate has strong experience with modern data stack tools and is well-versed in statistical analysis and data science. Benefits include competitive salary, health insurance, and a remote work environment.