YipitData

HQ
New York, New York, USA
470 Total Employees
Year Founded: 2013

Similar Companies Hiring

Software • Generative AI • Cloud • Big Data Analytics • Big Data
8 Offices
173 Employees
Software • Business Intelligence • Big Data Analytics • Big Data • Artificial Intelligence • Analytics
2 Offices
100 Employees
Insurance • Information Technology • Fintech • Financial Services • Big Data
Hyderabad, Telangana
Jobs at YipitData

Search the 5 jobs at YipitData

Recently posted jobs

2 Days Ago
US
Remote
Big Data • eCommerce
As a Research Associate, you will conduct data-driven research, perform SQL-driven analysis, assist in new product development, cultivate customer relationships, and contribute to product marketing efforts. Your role centers on deriving insights for high-demand subscription-based data products.
16 Days Ago
India
Remote
Big Data • eCommerce
As a Data QA Specialist at YipitData, you will be responsible for reviewing and updating financial transaction data, ensuring its accuracy by following U.S. accounting rules. Your duties include verifying data, deduplicating records, adjusting amortization dates, and documenting recurring data issues. Collaboration with the U.S. Data Product team is essential, and there may be opportunities for promotion to manage a team.
18 Days Ago
US
Remote
Big Data • eCommerce
The Solutions Associate will develop and deliver data-driven insights products for clients. They will collaborate with marketing, sales, and data product teams to provide actionable insights and recommendations.
20 Days Ago
US
Remote
Big Data • eCommerce
The Research Analyst will perform data-driven research to provide valuable insights using SQL for analysis of large data sets. Responsibilities include new product development, maintaining customer relationships, and collaborating with marketing to showcase products. The role is aimed at individuals with a strong background in equity research or management consulting.
22 Days Ago
US
Remote
Big Data • eCommerce
As Head of Data Feeds, you will lead the Product Management team, prioritize customer needs for alternative data feeds, and oversee product development and delivery. Collaborate with stakeholders across multiple departments to enhance investment processes and ensure team operations align with strategic goals.