
About YipitData
Transforming investment research with alternative data insights
Key Highlights
- Headquartered in Midtown Manhattan, New York, NY
- Raised $577 million in Series E funding
- Serves hundreds of clients in fintech and analytics
- Focus on disruptive, digital-first sectors
YipitData is a leading alternative data-driven market and investment research firm headquartered in Midtown Manhattan, New York. With over 500 employees, YipitData has raised $577 million in funding through multiple rounds, including a Series E round, and serves hundreds of clients in the fintech an...
🎁 Benefits
YipitData offers flexible work hours and vacation policies, a generous 401K match, parental leave, wellness budgets, and reimbursement for learning ex...
🌟 Culture
YipitData's culture emphasizes innovation and adaptability in the fast-evolving landscape of alternative data. The company is dedicated to providing h...
Overview
YipitData is seeking a Data Operations Analyst to transform raw data into strategic intelligence for clients. You'll work with proprietary technology to analyze alternative data points across various sectors. This role requires a strong analytical mindset and attention to detail.
Job Description
Who you are
You have a strong analytical mindset and are comfortable working with large datasets. You understand the importance of data accuracy and are skilled at transforming raw data into actionable insights. You thrive in a fast-paced environment and are eager to take ownership of your projects. You possess excellent communication skills, allowing you to convey complex data findings to non-technical stakeholders. You are detail-oriented and have a passion for continuous learning and improvement in data operations. You are committed to delivering high-quality results and enjoy collaborating with cross-functional teams to achieve business objectives.
What you'll do
As a Data Operations Analyst at YipitData, you will lead high-impact projects that involve sourcing and analyzing alternative datasets. You will work closely with data and research teams to ensure that the data is accurate, timely, and contextualized for our clients. You will be responsible for developing and implementing data processes that enhance the efficiency of data operations. You will collaborate with various teams to understand their data needs and provide insights that drive strategic decisions. You will also be involved in the continuous improvement of data quality and operational processes, ensuring that our clients receive the best possible service.
What we offer
YipitData offers a people-centric culture that emphasizes transparency, ownership, and continuous mastery. You will have the opportunity to work on meaningful projects that have a real impact on our clients' success. We provide a supportive environment where you can accelerate your growth and gain exposure to various aspects of data operations. Our commitment to equal employment opportunity ensures that all employees feel valued and included. Join us to be part of a team that is shaping the future of market research and analytics.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at YipitData.
Similar Jobs You Might Like
Based on your interests and this role

Business Operations
Amazon is hiring a Process Improvement Specialist to support product initiatives for worldwide ReLo Operations. You'll collaborate with various teams to establish and execute pilot and launch plans, requiring proficiency in Excel and SQL.

Program Manager
Amazon is hiring a Senior Program Manager for their Worldwide Returns & ReCommerce team to lead process improvement initiatives. You'll work closely with business and operational partners to standardize processes and improve quality metrics. This role requires strong leadership and strategic thinking skills.

Customer Operations
Voomi Supply is hiring a Part-Time Returns Specialist to efficiently process product returns and maintain inventory accuracy. You'll utilize RF scanners and manage return inspections in the Returns Center.