Kargo· Marketing And Advertising· Oct 26, 2026 · 1d ago
New York, New York, United States
Location
In office
Work mode
Full-time
Schedule
Senior
Level
$173K–$193K
Compensation
Job description
Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our dynamic teams work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world’s most premium platforms. Taking a Creative Science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Kargo is growing rapidly and currently has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland.
Who We Hire
Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn’t stop to ask what’s next, because they’re already building it. Kargo Global LLC seeks a Senior Analytics Engineer in New York, NY to:
● Analyze large datasets using SQL, Python, or similar tools to support business decision-making. ● Develop and maintain data models to organize and interpret data. ● Perform data analysis to identify trends, patterns, and insights. ● Build and maintain data pipelines for processing structured and unstructured data. ● Apply data modeling and analytical techniques to improve data accuracy and usability. ● Collaborate with cross-functional teams to understand data needs and deliver analytical solutions. ● Prepare reports, dashboards, and visualizations to communicate findings.
Requirements:
The employer will accept a Bachelor’s degree (or foreign equivalent) in Computer Science or related field and five (5) years of experience in data analysis, data modeling or a related field. Alternatively, the employer will accept a Master’s degree (or foreign equivalent) in Computer Science or related field and two (2) years of experience in data analysis, data modeling or a related field.
Position requires experience in the following:
● Python and SQL. ● Statistical Analysis. ● Data Modeling. ● Analyzing Large Datasets. ● Data Visualization Tools.
Salary Range: $172,994 - $192,994/year
How to apply/Contact information: To apply, please visit kargo.com, locate job title referenced above and click “apply.” In accordance with applicable federal, state, and local pay transparency laws, the anticipated base salary range for this position is listed below. In addition to base salary, this role is eligible for variable compensation — either the Kargo Sales Incentive Plan (sales roles) or an annual discretionary bonus (all other roles). Actual compensation may vary based on factors such as geographic location, work experience, education, and skills. U.S Salary Range $172,994 — $192,994 USD What We're Proud Of
AdAge Best Places to Work
ThinkLA Partner of the Year
Built In Best Places to Work
Cynopsis 2025 Top Women in Media - Jeannine Shao Collins
Martech Breakthrough Awards - Best Overall Adtech Company
Digiday Media Awards Best Event
Cynopsis Media Impact Awards-Best CTV Platform
Martech Breakthrough Awards-CTV Innovation
Adweek Media Plan of the Year Awards - Best Use of Insights
Following Our Lead
Big Picture: kargo.com
The Latest: Instagram (@kargo.hq) and LinkedIn (Kargo)
Requirements
Must-haves
Python and SQL. ● Statistical Analysis. ● Data Modeling. ● Analyzing Large Datasets. ● Data Visualization Tools.
AdAge Best Places to Work
ThinkLA Partner of the Year
Built In Best Places to Work
Cynopsis 2025 Top Women in Media - Jeannine Shao Collins
Martech Breakthrough Awards - Best Overall Adtech Company
Digiday Media Awards Best Event
Cynopsis Media Impact Awards-Best CTV Platform
Martech Breakthrough Awards-CTV Innovation
Adweek Media Plan of the Year Awards - Best Use of Insights
Following Our Lead
Big Picture: kargo.com
The Latest: Instagram (@kargo.hq) and LinkedIn (Kargo)
Nice-to-haves
None flagged.
Application prep
Use the role’s language and application details while tailoring your materials.