YipitData

HQ
New York
470 Total Employees
Year Founded: 2013

YipitData Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers accidental death & dismemberment insurance

Offers life insurance

Offers company equity

Offers employee discounts

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers dependent care

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Provides family medical leave

Provides fertility benefits

Offers generous parental leave

Company Culture

Provides commuter benefits

Provides free snacks and drinks

Office is pet friendly

Offers legal assistance

Utilizes a flexible work schedule

Offers a remote work program

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers gym membership

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid sick days

Provides paid holidays

Provides bereavement leave

Career Growth + Development

Provides customized development tracks

Job training & conferences

Recently posted jobs

Big Data • eCommerce
Leads the emerging sector insights team, owning product strategy and roadmaps for key categories, managing and developing insights analysts, and driving sector commercial success through collaboration on upsell and renewal opportunities. The role combines market research, client service, data analysis, cross-functional collaboration, and thought leadership. It is remote-friendly within the United States and requires East or West Coast work hours.
2 Days AgoSaved
Remote
US
Big Data • eCommerce
Own and maintain data products end-to-end for sector teams, analyze large datasets, refine methodologies, automate workflows using AI and tooling, collaborate with Research, Engineering, and Product, and deliver accurate, client-facing insights and improvements.
2 Days AgoSaved
Remote
US
Big Data • eCommerce
Own Kepler’s transaction data feed end-to-end, ensuring accuracy, improving methodologies, developing QA frameworks, solving complex analytical problems, and prototyping enhancements. Analyze massive datasets, automate workflows with AI, evaluate client-facing AI outputs, address high-complexity customer questions, and collaborate with Research, Product, Data Science, and Engineering teams.