Job Details

ID #53595326
Estado New Mexico
Ciudad Mexicocity
Tipo de trabajo Full-time
Salario USD TBD TBD
Fuente Jellyfish
Showed 2025-03-07
Fecha 2025-03-07
Fecha tope 2025-05-06
Categoría Etcétera
Crear un currículum vítae
Aplica ya

Investment Analytics Manager

New Mexico, Mexicocity 00000 Mexicocity USA
Aplica ya

Reporting to Investment Analytics Director you will join Jellyfish's Investment Analytics Team with a blend of technical skills, analytical thinking, and effective communication to be part of a broad and diverse team within Paid Media practice encompassing Marketing Analysis, Data Engineering and Data Scientist specialists.An  architect of data-driven insights, meticulously mining, analyzing vast amounts of data to inform strategic decision-making. To help transform raw data into actionable intelligence, allowing paid media teams and clients to improve operations, identify market trends, and improve overall business performance. By employing a combination of technical expertise, business acumen, and analytical skills, you provide a foundation for data-led strategies that propel businesses forward.ResponsibilitiesEmpower data-driven decisions with a blend of analytical skills and collaborative engagement in dynamic business landscapes.Dissect complex data sets, identify patterns, and understand the underlying business processes.Scrutinize the validity and reliability of the data sources, question assumptions, and draw sound conclusions that support client’s and internal business strategies.Create intuitive and informative visualizations that convey complex data in an understandable manner.Design and maintain data warehouses, and developing complex queries that can handle large datasets. Lead analytics projects and need to explain technical concepts to non-technical partners.Define measurement frameworks that are reflective of account strategies by identifying the proper data sources and KPIs in consideration of business goals and illustrate media efforts effectiveness.Ensure data-driven decisions are accessible to all decision-makers.Identify issues within data sets and propose innovative solutions. Involves a proactive approach to troubleshooting and the creativity to develop new methods for data analysis.

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