Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data Analyst role.
Rezi rewrites your resume against YipitData's job description. Free.
Tailor your resume to this Data Analyst role.
Rezi rewrites your resume against YipitData's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Analyst posting at YipitData — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Data Analyst posting at YipitData — free, in seconds.
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. You will 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. You will begin by owning specific analyses and recurring tasks, with support and feedback as you build confidence. Over time, you will take 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.
- Work with large datasets to answer client questions.
- 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.
- Work with teammates to trace discrepancies, test assumptions, and evaluate possible explanations.
- Learn when to investigate further and when to ask for guidance.
- Use AI and automation to improve your work.
- Identify repetitive tasks, contribute to reusable workflows, and learn to use AI tools effectively while validating their outputs.
- Collaborate across teams.
- Partner with Research, Engineering, Product, and other teams to resolve issues and deliver high-quality products.
- Communicate your findings clearly and document your work so others can build on it.
- Suggest improvements.
- Bring questions and ideas that help the team strengthen quality checks, improve documentation, refine a methodology, or simplify a process.
Requirements
- Early in your analytics career, typically with 1-3 years of relevant professional experience.
- Recent graduates and career changers who can demonstrate their skills through internships, academic research, work experience, or substantive projects.
- Working foundation in SQL and can use it to join, aggregate, and explore data.
- Some experience using Python for data analysis and are interested in building more reliable, reusable workflows.
- Enjoy working through analytical questions and care about accuracy.
- Can explain your approach, test assumptions, and check your results.
- Notice inconsistencies and follow through to understand what caused them.
- Eager to learn unfamiliar datasets and industries.
- Ask thoughtful questions and use feedback to improve your work.
- Follow through on your responsibilities.
- Keep teammates informed, flag obstacles early, and ask for help when needed.
- Communicate clearly.
- Can explain findings and uncertainties to others and are willing to develop your ability to communicate with technical and non-technical audiences.
- Curious about industries, competitive dynamics, and the factors that drive company performance.
- Interested in AI tools and willing to experiment with them while checking their work carefully.
Skills
- SQL
- Python
- PySpark (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
- 1-3 years of relevant professional experience
- Early in analytics career
Salary/Compensations
- SGD 72,000 to SGD 96,000
Benefits
- Competitive salary
- Comprehensive benefits
- 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 and most recently 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 that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions.
- From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.
- Operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Singapore, Hong Kong, Shanghai, Beijing, Guangzhou), and India.
- Award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.
- YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals.
- From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.
- Ownership That Matters: You’ll lead high-impact projects with real business outcomes
- Rapid Growth: We compress years of learning into months
- Merit Over Titles: Trust and responsibility are earned through execution, not tenure
- Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention
- We hire sprinters, not coasters—people who choose growth over comfort, lead through challenges, and are energized by high expectations.
- Ambition matched by work ethic—hungry for a place where 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.