Data Analyst
Retail
Posted on 9/26/2023
INACTIVE
YipitData

201-500 employees

Market research firm analyzing big data for insights
Company Overview
YipitData stands as a market leader in data-driven research, leveraging proprietary technology to process billions of data points daily, offering precise insights into sectors such as ridesharing and e-commerce. Their services are trusted by over 480 investment funds and forward-thinking companies, underscoring their industry credibility and competitive edge. The company's culture fosters technical innovation and industry leadership, making it an ideal workplace for those seeking to shape the future of market research.
Data & Analytics

Company Stage

Series E

Total Funding

$492.1M

Founded

2013

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-6%

2 year growth

34%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Business Strategy
Data Analysis
SQL
Python
CategoriesNew
Business & Strategy
Data & Analytics
Requirements
  • The Retail team is the engine behind rapidly growing product offerings in both the Investor and Corporate side of YipitData's business
  • This role involves getting into the data sources and methodologies that produce granular insights you cannot get anywhere else - the learning experience is unparalleled
  • The Retail team has developed a great deal already. You'll have supportive team members who can share the lessons we've learned and speed up your growth and development
  • You have a strong ownership mentality and want to ensure our products are the best in the world
  • You have strong attention to detail
  • You are a methodical problem-solver
  • You can clearly communicate complex concepts, both orally and written
  • You strive to make tasks as efficient as possible
  • You have the ability to manage multiple priorities
  • You are experimental and curious - you aren't afraid of changing the status quo
  • You are enthusiastic about making a big impact at a rapidly growing company
Responsibilities
  • Be the primary owner of high-impact work in the Retail space, such as running or building new data products end-to-end, running centralized data processing activities the broader Data team relies on, or building clean granular data feeds that help clients dive into data
  • Work with massive amounts of data to help answer our clients' key questions about the companies we cover and the datasets we analyze. You will learn about our proprietary methods and techniques to ensure data accuracy and derive key insights
  • Become a trusted and reliable resource for our internal stakeholders or clients and work with them to identify and answer their key questions. You'll gain insight into how clients at the world's largest investment firms, retailers, and retail brands use data in their investments and business strategy decisions
  • Improve our products, data pipelines, or data feeds by developing entirely new methodologies and features for our products,exploring and scaling use across the data team of new third-party datasets, or creating new modules to make our raw feeds data experience better. We value self-improvement and experimentation and expect you to enhance the products, pipelines, or data feeds that you own
  • Learn or sharpen existing SQL and Python skills starting with our two-month new hire training program that will teach you SQL, PySpark, and Python fundamentals as well as our internal tools and processes