Shutterstock
Overview
Shutterstock, Inc. seeks a Data Engineer, Analytics in New York, NY to collaborate with BI analysts and stakeholders to define requirements and deliver scalable solutions. Telecommuting and/or working from home may be permissible pursuant to company policies. Salary Range: $142,910.22 – $155,000.00/year. Responsibilities
Collaborate with BI analysts and stakeholders to define requirements and deliver scalable data solutions. Develop and refine cross-channel marketing measurement approaches, including MMM (Marketing Mix Modeling) and MTA (Multi-Touch Attribution), data inputs, model refreshes, and data integrations to power attribution models. Conduct cross-channel media efficiency analysis and scenario planning, including budget recommendations and the impacts of marketing investment redistribution on allocation and forecasting. Handle input and export of data, run marketing performance reports, and build dashboard outputs for leadership. Develop and maintain MMM & MTA measurement strategy, securing cross-team alignment and adoption. Analyze data using marketing vendor interfaces and analytics tools (SQL, Tableau, Google Analytics, and Adobe Analytics) to evaluate existing and potential online marketing programs. Develop and deliver periodic performance reporting on marketing program performance to leadership. Perform dimensional modeling, data warehouse design, build ETL/ELT pipelines, and end-to-end analytics solutions using Airflow, FiveTran, DBT, and Montecarlo. Develop and maintain CI/CD pipelines and version control using GitHub Actions. Perform software and API development using Python, and execute duties using SQL (Snowflake) and AWS (S3). Qualifications
Master’s degree in Information Systems, Computer Science, or related field or equivalent required. Three (3) years of experience creating measurable online and offline campaign cross-channel marketing campaign objectives and key performance indicators; refining suggested test and learn agendas, key KPIs, and performance targets to define cross-channel marketing campaign success. Experience supporting analytical MMM & MTA vendor relationships, including sourcing data inputs, model refreshes, and data integrations to power attribution models. Experience conducting cross-channel media efficiency analysis and scenario planning, including budget recommendations and forecasting impacts of marketing investment redistribution. Experience with SQL, Tableau, Google Analytics, and Adobe Analytics for evaluating marketing programs. Experience in data warehousing, ETL/ELT, and end-to-end analytics solutions. Proficiency with Python, Snowflake SQL, and AWS S3. Values and Equal Opportunity
Shutterstock Values We are one team collectively focused on creating an unrivaled experience for our Customers and Contributors. Our Values represent the mindset of the employee who will thrive at Shutterstock. If you are passionate about what you do, and want to become part of a cutting-edge technology company building industry leading products, please apply. Shutterstock is an Equal Opportunity Employer. Suitably qualified and eligible candidates are encouraged to apply regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. Shutterstock ensures that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accommodation_request@shutterstock.com.
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Shutterstock, Inc. seeks a Data Engineer, Analytics in New York, NY to collaborate with BI analysts and stakeholders to define requirements and deliver scalable solutions. Telecommuting and/or working from home may be permissible pursuant to company policies. Salary Range: $142,910.22 – $155,000.00/year. Responsibilities
Collaborate with BI analysts and stakeholders to define requirements and deliver scalable data solutions. Develop and refine cross-channel marketing measurement approaches, including MMM (Marketing Mix Modeling) and MTA (Multi-Touch Attribution), data inputs, model refreshes, and data integrations to power attribution models. Conduct cross-channel media efficiency analysis and scenario planning, including budget recommendations and the impacts of marketing investment redistribution on allocation and forecasting. Handle input and export of data, run marketing performance reports, and build dashboard outputs for leadership. Develop and maintain MMM & MTA measurement strategy, securing cross-team alignment and adoption. Analyze data using marketing vendor interfaces and analytics tools (SQL, Tableau, Google Analytics, and Adobe Analytics) to evaluate existing and potential online marketing programs. Develop and deliver periodic performance reporting on marketing program performance to leadership. Perform dimensional modeling, data warehouse design, build ETL/ELT pipelines, and end-to-end analytics solutions using Airflow, FiveTran, DBT, and Montecarlo. Develop and maintain CI/CD pipelines and version control using GitHub Actions. Perform software and API development using Python, and execute duties using SQL (Snowflake) and AWS (S3). Qualifications
Master’s degree in Information Systems, Computer Science, or related field or equivalent required. Three (3) years of experience creating measurable online and offline campaign cross-channel marketing campaign objectives and key performance indicators; refining suggested test and learn agendas, key KPIs, and performance targets to define cross-channel marketing campaign success. Experience supporting analytical MMM & MTA vendor relationships, including sourcing data inputs, model refreshes, and data integrations to power attribution models. Experience conducting cross-channel media efficiency analysis and scenario planning, including budget recommendations and forecasting impacts of marketing investment redistribution. Experience with SQL, Tableau, Google Analytics, and Adobe Analytics for evaluating marketing programs. Experience in data warehousing, ETL/ELT, and end-to-end analytics solutions. Proficiency with Python, Snowflake SQL, and AWS S3. Values and Equal Opportunity
Shutterstock Values We are one team collectively focused on creating an unrivaled experience for our Customers and Contributors. Our Values represent the mindset of the employee who will thrive at Shutterstock. If you are passionate about what you do, and want to become part of a cutting-edge technology company building industry leading products, please apply. Shutterstock is an Equal Opportunity Employer. Suitably qualified and eligible candidates are encouraged to apply regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law. Shutterstock ensures that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accommodation_request@shutterstock.com.
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