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.

Requires a Masters degree in Information Systems, Computer Science, or related field or equivalent and 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; supporting analytical MMM & MTA vendor relationships, including sourcing data inputs, model refreshes and data integrations to power attribution models; conducting cross-channel media efficiency analysis and scenario planning including budget recommendations, allocation and forecasting impacts of marketing investment redistribution; handling input and export of data, running marketing performance reports, and building dashboard output; creating MMM & MTA measurement strategy, securing cross-team alignment and adoption; analyzing data using marketing vendor interfaces and analytics tools (SQL, Tableau, Google Analytics, and Adobe Analytics) to evaluate existing and potential online marketing programs; developing and delivering periodic performance reporting on marketing program performance to leadership; performing dimensional modeling, data warehouse design, building ETL/ELT pipelines, and end-to-end analytics solutions using Airflow, FiveTran, DBT, and Montecarlo; developing and maintaining CI/CD pipelines and version control using Github Action; performing software and API development using Python; and in executing duties, utilizing SQL (Snowflake) and AWS (S3). Telecommuting and/or working from home may be permissible pursuant to company policies.

Salary Range: $142,910.22 $155,000.00/year. M-F, 40 hours/week.

Apply at https://careers.shutterstock.com/us/en and search using job code R0003035.

Shutterstock, Inc.

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Data Engineer, Analytics