Data Analyst, Client Data Services
Meta
Data Analyst, Client Data Services
Job Description
In this role, you will work with a highly collaborative team of data analysts, product/program managers, and a cross-functional team of software engineers, data engineers, and data scientists to optimize growth and strategy for client data services. The CDS team works closely with Small Businesses, Monetization and Government & Social Impact team to perform analysis into representation and data quality improvement of Client’s assets on Meta platforms. You will view a direct correlation between your work, company growth, and customer support data insights. Beyond this, you will have the opportunity to collaborate and solve some of the most interesting data challenges with efficiency and integrity.
Locations
- New York, NY, USA
Salary
104,000 - 146,000 USD / yearly
Estimated Salary Rangehigh confidence
125,000 - 175,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQLintermediate (Database)
- ETLintermediate (Data Processing)
- Data Modelingintermediate (Data Analysis)
- Pythonintermediate (Programming)
- C++intermediate (Programming)
- C#intermediate (Programming)
- Scalaintermediate (Programming)
Required Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience (degree in Computer Science)
- Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.) (experience)
- 4+ years of experience querying non relational databases using SQL or Python (experience, 4 years)
- 4+ years of experience working in an analytical capacity developing insights, defining metrics, and making recommendations (experience, 4 years)
- Presentation and communications experience with extracting insights from technical data sets to varied audiences (experience)
- Experience thinking strategically about complex issues, leading to thoughtful recommendations and action plans (experience)
Preferred Qualifications
- Masters Degree in Data Science (degree in Data Science)
- Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy and data pipelining (experience)
Responsibilities
- Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way
- Perform data analysis and reporting for the Small Business , Monetization , Government and Social Impact Advertisers assets
- Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
- Design, build and launch new data models and visualizations in production, leveraging common development toolkits
- Support existing processes running in production and implement optimized solutions with limited guidance
- Build dashboards and reports to track effectiveness and efficiency improvements over time, and guide future decisions
- Establish close working relationships with a variety of cross-functional stakeholders including deal leads, data engineering, and product development teams
Tags & Categories
Data Analyst, Client Data Services
Meta
Data Analyst, Client Data Services
Job Description
In this role, you will work with a highly collaborative team of data analysts, product/program managers, and a cross-functional team of software engineers, data engineers, and data scientists to optimize growth and strategy for client data services. The CDS team works closely with Small Businesses, Monetization and Government & Social Impact team to perform analysis into representation and data quality improvement of Client’s assets on Meta platforms. You will view a direct correlation between your work, company growth, and customer support data insights. Beyond this, you will have the opportunity to collaborate and solve some of the most interesting data challenges with efficiency and integrity.
Locations
- New York, NY, USA
Salary
104,000 - 146,000 USD / yearly
Estimated Salary Rangehigh confidence
125,000 - 175,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- SQLintermediate (Database)
- ETLintermediate (Data Processing)
- Data Modelingintermediate (Data Analysis)
- Pythonintermediate (Programming)
- C++intermediate (Programming)
- C#intermediate (Programming)
- Scalaintermediate (Programming)
Required Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience (degree in Computer Science)
- Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.) (experience)
- 4+ years of experience querying non relational databases using SQL or Python (experience, 4 years)
- 4+ years of experience working in an analytical capacity developing insights, defining metrics, and making recommendations (experience, 4 years)
- Presentation and communications experience with extracting insights from technical data sets to varied audiences (experience)
- Experience thinking strategically about complex issues, leading to thoughtful recommendations and action plans (experience)
Preferred Qualifications
- Masters Degree in Data Science (degree in Data Science)
- Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy and data pipelining (experience)
Responsibilities
- Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way
- Perform data analysis and reporting for the Small Business , Monetization , Government and Social Impact Advertisers assets
- Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
- Design, build and launch new data models and visualizations in production, leveraging common development toolkits
- Support existing processes running in production and implement optimized solutions with limited guidance
- Build dashboards and reports to track effectiveness and efficiency improvements over time, and guide future decisions
- Establish close working relationships with a variety of cross-functional stakeholders including deal leads, data engineering, and product development teams
Tags & Categories