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About the Role
Join one of our sector teams, covering industries such as consumer goods, software, or financial services. These teams build and maintain the analytical data products our clients rely on to understand companies and markets. As a Data Analyst, you will learn how to turn large, complex datasets into accurate and useful insights, help maintain recurring analyses, investigate changes in the data, and improve the workflows behind our products. You will work closely with a Data Lead and experienced teammates to learn our datasets, methodologies, and quality standards, starting with owning specific analyses and recurring tasks, with support and feedback, and eventually taking on broader responsibility for products and workflows. This role is well suited to someone early in their analytics career who enjoys solving problems, pays close attention to detail, and wants to understand how data informs investment decisions. You don’t need to arrive with deep knowledge of financial markets or alternative data—we’re looking for a strong analytical foundation, curiosity, and a willingness to learn.
Responsibilities
- Help deliver accurate, reliable data products.
- Run and maintain recurring analyses, complete quality checks, and investigate unexpected results.
- Build toward ownership of defined products and workflows as your expertise grows.
- Use SQL and Python to explore data, identify trends, and understand what the results tell us about the companies and industries we cover.
- Investigate data problems by tracing discrepancies, testing assumptions, and evaluating possible explanations.
- Learn when to investigate further and when to ask for guidance.
- Use AI and automation to improve work by identifying repetitive tasks, contributing to reusable workflows, and learning to use AI tools effectively while validating their outputs.
- Collaborate across teams, including Research, Engineering, and Product, to resolve issues and deliver high-quality products.
- Communicate findings clearly and document work so others can build on it.
- Suggest improvements to strengthen quality checks, improve documentation, refine methodology, or simplify processes.
Requirements
- 1-3 years of relevant professional experience.
- Recent graduates and career changers with demonstrated skills through internships, academic research, work experience, or substantive projects are welcome.
- Working foundation in SQL and ability to use it to join, aggregate, and explore data.
- Some experience using Python for data analysis and interest in building more reliable, reusable workflows.
- Ability to explain analytical approach, test assumptions, and check results.
- Ability to notice inconsistencies and follow through to understand their cause.
- Eagerness to learn unfamiliar datasets and industries.
- Ability to ask thoughtful questions and use feedback to improve work.
- Ability to follow through on responsibilities, keep teammates informed, flag obstacles early, and ask for help when needed.
- Ability to communicate findings and uncertainties clearly to others.
- Willingness to develop the ability to communicate with technical and non-technical audiences.
- Curiosity about industries, competitive dynamics, and factors driving company performance.
- Interest in AI tools and willingness to experiment with them while checking their work carefully.
Skills
- SQL
- Python
- PySpark (familiarity is a plus)
- AI tools
Location
- US (NYC, Austin, Miami, Mountain View)
- APAC (Singapore, Hong Kong, Shanghai, Beijing, Guangzhou)
- India
Work Type
- Flexible work hours
Experience Level
- Early in analytics career
- 1-3 years of relevant professional experience
Salary/Compensations
- SGD 72,000 to SGD 96,000
Benefits
- Competitive salary
- Comprehensive benefits
- Opportunities to build a career as a manager or individual contributor
- Career ladder that promotes based on impact
- Regular career conversations with manager
- Commitment to career development
- Potential for internal mobility opportunities
- Flexible work hours
- Flexible vacation
- Parental leave
- Team events
- Wellness budget
- Learning reimbursement
About the Company
- YipitData is the leading market research and analytics firm for the disruptive economy.
- Raised $475M from The Carlyle Group at a valuation of over $1B.
- Proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.
- Data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis.
- Clients range from the world’s top investment funds to Fortune 500 companies.
- Operates globally with offices in the US, APAC, and India.
- Award-winning, people-centric culture recognized by Inc. as a Best Workplace for three consecutive years.
- Culture emphasizes transparency, ownership, and continuous mastery.
- A launchpad for ambitious, impact-driven professionals.
- Offers ownership that matters, rapid growth, merit over titles, and velocity with purpose.
- Hires sprinters, not coasters—people who choose growth over comfort, lead through challenges, and are energized by high expectations.
- Growth, impact, and ownership are the norm.
Equal Opportunity
- Committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status.
- Proud to be an equal opportunity employer.