Data Analyst Contractor
Instacart
Data Analyst Contractor
Job Description
Responsibilities
- Utilize internal tooling to manage the day to day operations of building audiences used for off-platform advertising.
- Leverage SQL expertise to write code required to enable custom audience requests.
- Utilize efficient SQL writing and querying techniques to troubleshoot issues directly within the Snowflake data warehouse.
- Optimize queries for performance and maintainability.
- Collect, analyze, and interpret data to identify trends and patterns affecting our Off-Platform audiences.
- Work with the core CATS team to research new audience segmentation methodologies.
- Collaborate with teams across different functions to support off-platform audience enablement.
- Identify process improvement opportunities and provide regular recommendations to enhance data-related processes.
- Execute Shell/Python scripts using command line tools to fulfill off-platform audience enablement.
- Leverage Python scripting to automate tasks and processes.
- Work with CATS developers to perform technical QA on automation tools and frameworks.
- Provide product feedback, design recommendations, and feature requests.
- Continually evaluate operational processes to identify areas of improvement and implement changes that enhance operational effectiveness.
Required Qualifications
- Bachelor’s degree or equivalent work experience (4 years) in a relevant business/domain.
- 2+ years of hands-on experience with SQL, Data Manipulation, and Data Analysis.
- 2+ years of experience applying Python (NumPy, Pandas, Other common libraries) programming to solve business challenges.
- 2+ years of experience working with cloud data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery.
- Capable of collaborating effectively in team environments, especially on large/complex projects.
Preferred Qualifications
- Experience working in digital advertising, ad technology, or retail media networks
- Development experience with Python, including working with APIs, building data pipelines, authentication, file handling, and raw data manipulation is a plus
- Experience with audience segmentation methodologies
- Exposure to working with large data platforms and handling sizable datasets
Required Skills
- SQL
- Python (NumPy, Pandas)
- Snowflake
- Amazon Redshift
- Google BigQuery
- Shell scripting
- Data analysis
- Data manipulation
- Cloud data warehouses
- Collaboration
Salary Range
$145600 - $187200 USD
Locations
- United States, United States (Remote)
Salary
145,600 - 187,200 USD / yearly
Skills Required
- SQLintermediate
- Python (NumPy, Pandas)intermediate
- Snowflakeintermediate
- Amazon Redshiftintermediate
- Google BigQueryintermediate
- Shell scriptingintermediate
- Data analysisintermediate
- Data manipulationintermediate
- Cloud data warehousesintermediate
- Collaborationintermediate
Required Qualifications
- Bachelor’s degree or equivalent work experience (4 years) in a relevant business/domain. (experience)
- 2+ years of hands-on experience with SQL, Data Manipulation, and Data Analysis. (experience)
- 2+ years of experience applying Python (NumPy, Pandas, Other common libraries) programming to solve business challenges. (experience)
- 2+ years of experience working with cloud data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery. (experience)
- Capable of collaborating effectively in team environments, especially on large/complex projects. (experience)
Preferred Qualifications
- Experience working in digital advertising, ad technology, or retail media networks (experience)
- Development experience with Python, including working with APIs, building data pipelines, authentication, file handling, and raw data manipulation is a plus (experience)
- Experience with audience segmentation methodologies (experience)
- Exposure to working with large data platforms and handling sizable datasets (experience)
Responsibilities
- Utilize internal tooling to manage the day to day operations of building audiences used for off-platform advertising.
- Leverage SQL expertise to write code required to enable custom audience requests.
- Utilize efficient SQL writing and querying techniques to troubleshoot issues directly within the Snowflake data warehouse.
- Optimize queries for performance and maintainability.
- Collect, analyze, and interpret data to identify trends and patterns affecting our Off-Platform audiences.
- Work with the core CATS team to research new audience segmentation methodologies.
- Collaborate with teams across different functions to support off-platform audience enablement.
- Identify process improvement opportunities and provide regular recommendations to enhance data-related processes.
- Execute Shell/Python scripts using command line tools to fulfill off-platform audience enablement.
- Leverage Python scripting to automate tasks and processes.
- Work with CATS developers to perform technical QA on automation tools and frameworks.
- Provide product feedback, design recommendations, and feature requests.
- Continually evaluate operational processes to identify areas of improvement and implement changes that enhance operational effectiveness.
Tags & Categories
Data Analyst Contractor
Instacart
Data Analyst Contractor
Job Description
Responsibilities
- Utilize internal tooling to manage the day to day operations of building audiences used for off-platform advertising.
- Leverage SQL expertise to write code required to enable custom audience requests.
- Utilize efficient SQL writing and querying techniques to troubleshoot issues directly within the Snowflake data warehouse.
- Optimize queries for performance and maintainability.
- Collect, analyze, and interpret data to identify trends and patterns affecting our Off-Platform audiences.
- Work with the core CATS team to research new audience segmentation methodologies.
- Collaborate with teams across different functions to support off-platform audience enablement.
- Identify process improvement opportunities and provide regular recommendations to enhance data-related processes.
- Execute Shell/Python scripts using command line tools to fulfill off-platform audience enablement.
- Leverage Python scripting to automate tasks and processes.
- Work with CATS developers to perform technical QA on automation tools and frameworks.
- Provide product feedback, design recommendations, and feature requests.
- Continually evaluate operational processes to identify areas of improvement and implement changes that enhance operational effectiveness.
Required Qualifications
- Bachelor’s degree or equivalent work experience (4 years) in a relevant business/domain.
- 2+ years of hands-on experience with SQL, Data Manipulation, and Data Analysis.
- 2+ years of experience applying Python (NumPy, Pandas, Other common libraries) programming to solve business challenges.
- 2+ years of experience working with cloud data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery.
- Capable of collaborating effectively in team environments, especially on large/complex projects.
Preferred Qualifications
- Experience working in digital advertising, ad technology, or retail media networks
- Development experience with Python, including working with APIs, building data pipelines, authentication, file handling, and raw data manipulation is a plus
- Experience with audience segmentation methodologies
- Exposure to working with large data platforms and handling sizable datasets
Required Skills
- SQL
- Python (NumPy, Pandas)
- Snowflake
- Amazon Redshift
- Google BigQuery
- Shell scripting
- Data analysis
- Data manipulation
- Cloud data warehouses
- Collaboration
Salary Range
$145600 - $187200 USD
Locations
- United States, United States (Remote)
Salary
145,600 - 187,200 USD / yearly
Skills Required
- SQLintermediate
- Python (NumPy, Pandas)intermediate
- Snowflakeintermediate
- Amazon Redshiftintermediate
- Google BigQueryintermediate
- Shell scriptingintermediate
- Data analysisintermediate
- Data manipulationintermediate
- Cloud data warehousesintermediate
- Collaborationintermediate
Required Qualifications
- Bachelor’s degree or equivalent work experience (4 years) in a relevant business/domain. (experience)
- 2+ years of hands-on experience with SQL, Data Manipulation, and Data Analysis. (experience)
- 2+ years of experience applying Python (NumPy, Pandas, Other common libraries) programming to solve business challenges. (experience)
- 2+ years of experience working with cloud data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery. (experience)
- Capable of collaborating effectively in team environments, especially on large/complex projects. (experience)
Preferred Qualifications
- Experience working in digital advertising, ad technology, or retail media networks (experience)
- Development experience with Python, including working with APIs, building data pipelines, authentication, file handling, and raw data manipulation is a plus (experience)
- Experience with audience segmentation methodologies (experience)
- Exposure to working with large data platforms and handling sizable datasets (experience)
Responsibilities
- Utilize internal tooling to manage the day to day operations of building audiences used for off-platform advertising.
- Leverage SQL expertise to write code required to enable custom audience requests.
- Utilize efficient SQL writing and querying techniques to troubleshoot issues directly within the Snowflake data warehouse.
- Optimize queries for performance and maintainability.
- Collect, analyze, and interpret data to identify trends and patterns affecting our Off-Platform audiences.
- Work with the core CATS team to research new audience segmentation methodologies.
- Collaborate with teams across different functions to support off-platform audience enablement.
- Identify process improvement opportunities and provide regular recommendations to enhance data-related processes.
- Execute Shell/Python scripts using command line tools to fulfill off-platform audience enablement.
- Leverage Python scripting to automate tasks and processes.
- Work with CATS developers to perform technical QA on automation tools and frameworks.
- Provide product feedback, design recommendations, and feature requests.
- Continually evaluate operational processes to identify areas of improvement and implement changes that enhance operational effectiveness.
Tags & Categories