Data Support Specialist

Summary

Join YipitData, a leading data and analytics firm, as a Data Support Specialist! This fully remote role, based in India, involves supporting key portions of data products, building expertise in alternative datasets (web-scraped, transaction, email data), and working with massive datasets to answer client questions. You will collaborate with internal stakeholders, improve data pipelines, and enhance existing SQL and Python skills through a new-hire training program. Success requires 2+ years of experience as a data or quality assurance analyst, strong attention to detail, excellent communication skills, and a drive for efficiency. The role offers competitive salary and benefits, including vacation time, medical insurance, and parental leave, with opportunities for career growth and development.

Requirements

• You have 2+ years of experience as a data or quality assurance analyst, ideally working with SQL, PySpark, and/or Python
• You have strong attention to detail and are a methodical problem-solver
• You have excellent oral and written communication skills, with the ability to interact effectively with internal teams across time zones and cultures
• You strive to make tasks as efficient as possible
• You are enthusiastic about making a big impact at a rapidly growing company

Responsibilities

• Support high impact work by running key portions of our data products to help end product owners scale or run centralized data ingestion pipelines that the broader team relies on
• Build expertise in highly valuable alternative datasets like web-scraped data, transaction data, email data, and others
• 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 deliverables, custom analysis, or data reports that are consumed by the top investors in the world
• Improve our data pipelines by aiding the development of entirely new methodologies and features for our products or use across the data team of new third-party datasets. We value self-improvement and experimentation and expect you to enhance the products, pipelines, or processes that you own
• Sharpen existing SQL and Python skills starting with new hire training program that will teach you SQL, PySpark, and Python fundamentals as well as our internal tools and processes

Preferred Qualifications

You have experience working with web-scraped data, transaction data, or email data, though this is not required

Benefits

• Our compensation package includes competitive salary and comprehensive benefit offerings
• We offer vacation time
• Medical insurance
• Parental leave
• Learning reimbursement
• And more!