Data Product Specialist
4 days to apply
YIPIT PTE. LIMITED
About Us:
YipitData is the leading market research and analytics firm for the disruptive economy. We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. Our data team uses proprietary technology to identify, license, clean, and analyze the data many of the world's largest investment funds and corporations depend on.
For three years and counting, we have been recognized as one of Inc's Best Workplaces. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency.
About the Role:
We currently have 100+ Data team members in our Investor and Data Feeds businesses who create and maintain our data products globally, and we are looking to further expand the team to continue to increase our product portfolio. Those with strong analytical skills are encouraged to apply.
At YipitData, we value ownership and impact. While nearly everyone enters the Data Analyst position [official job title: "Data Specialist"] at the same level, starting compensation is based on years of relevant experience. Our career ladder also rewards strong performance with frequent compensation increases and promotions.
See this short video to learn more about our organization, product, and why some of our current Data Specialists love working here!
In this role, you will:
You Are Likely To Succeed If:
What We Offer:
YipitData is the leading market research and analytics firm for the disruptive economy. We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. Our data team uses proprietary technology to identify, license, clean, and analyze the data many of the world's largest investment funds and corporations depend on.
For three years and counting, we have been recognized as one of Inc's Best Workplaces. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle, Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency.
About the Role:
We currently have 100+ Data team members in our Investor and Data Feeds businesses who create and maintain our data products globally, and we are looking to further expand the team to continue to increase our product portfolio. Those with strong analytical skills are encouraged to apply.
At YipitData, we value ownership and impact. While nearly everyone enters the Data Analyst position [official job title: "Data Specialist"] at the same level, starting compensation is based on years of relevant experience. Our career ladder also rewards strong performance with frequent compensation increases and promotions.
See this short video to learn more about our organization, product, and why some of our current Data Specialists love working here!
In this role, you will:
- Be the primary owner of high impact work such as running or building new data products end-to-end, running centralized data ingestion pipelines that 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 investors use data in their investment decisions by contributing to data feeds, custom analysis, or data reports that are consumed by the top investors in the world.
- 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.
You Are Likely To Succeed If:
- 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 an 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
What We Offer:
- Our compensation package includes competitive salary and comprehensive benefit offerings.
- Opportunities to build a career as a manager or individual contributor through our career ladder that promotes based on impact. You will have regular career conversations with your manager where you will discuss your short and long-term career goals. We are committed to helping you develop in your career and offer the potential for internal mobility opportunities
- Your growth at YipitData is determined by the impact that you make, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.
JOB SUMMARY
Data Product Specialist
YIPIT PTE. LIMITED
Singapore
a month ago
N/A
Full-time
Data Product Specialist
4 days to apply