数据分析师
Data Analyst
关于公司
YipitData 是一家市场研究和分析公司，帮助投资基金和财富 500 强企业了解公司表现、市场趋势和竞争动态。我们的专有技术分析数十亿个替代数据点，生成有助于重要商业和投资决策的洞察。
我们全球运营，设有美国、亚太和印度的办公室。以员工为中心的文化——连续三年被 Inc. 评为最佳工作场所——建立在透明、责任感和持续学习的基础上。
在这里工作是什么感觉
- 真正的责任归属，而非理想化的目标。分析师从方法论开发到交付，全程负责数据产品，并直接影响领先投资公司使用的工具。
- 成长由影响力驱动，而非资历。你的职责范围和责任会随着你展示出准备好的速度而迅速扩展。
- AI 是核心工作工具。我们正在积极重塑分析工作的流程——利用 AI 代理、自动化和新工具，从根本上改变可能性。
职位简介
你将加入我们的行业团队，覆盖消费品、软件或金融服务等行业。这些团队构建并维护客户依赖的分析数据产品。
作为团队中的分析师，你将深入掌握一系列专有数据集和方法论。你将负责确保产品的准确性与可靠性，改进其构建方式，并发现能为客户创造价值的洞察和机会。
你最初将与数据负责人密切合作，学习我们的数据集、方法论和质量标准。随着你专业知识的增长，你将承担更大的责任，处理更复杂的产品，并帮助塑造团队的工作方式。
这个职位适合那些喜欢解决复杂的分析问题、高度重视准确性，并希望打造人们依赖的数据产品的人——而不仅仅是提供一次性分析。
我们接受在多个级别招聘此职位。虽然该职位发布为高级数据分析师，但我们鼓励具有不同经验的候选人申请，只要他们能展示出强大的分析判断力、责任感和成长潜力。最终的职位名称、职责范围和薪酬将根据经验和实际技能进行调整。
你将负责：
- 全流程负责数据产品——通过交付成果推动产品成功
查看英文原文
About Us
YipitData is a market research and analytics firm that helps investment funds and Fortune 500 companies understand company performance, market trends, and competitive dynamics. Our proprietary technology analyzes billions of alternative data points to produce insights that inform important business and investment decisions.
We operate globally, with offices in the US, APAC, and India. Our people-centered culture—recognized by Inc. as a Best Workplace for three consecutive years—is built around transparency, ownership, and continuous learning.
What It's Like to Work Here
- Ownership is real, not aspirational. Analysts own data products from methodology development through delivery and directly influence products used by leading investment firms.
- Growth is driven by impact, not tenure. Scope and responsibility expand as fast as you can demonstrate you're ready.
- AI is a core working tool. We're actively rebuilding how analytical work gets done—using AI agents, automation, and new tooling to fundamentally change what's possible.
About the Role
You’ll 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 an analyst on the team, you’ll develop deep expertise in a portfolio of proprietary datasets and methodologies. You’ll be responsible for ensuring the accuracy and reliability of your products, improving the way they are built, and identifying insights and opportunities that create value for clients.
You’ll initially work closely with a Data Lead to learn our datasets, methodologies, and quality standards. As your expertise grows, you’ll take on greater ownership, tackle more complex products, and help shape how your team works.
This role is well suited to someone who enjoys solving difficult analytical problems, cares deeply about accuracy, and wants to build data products that people depend on—not simply deliver one-off analyses.
We’re open to hiring this role at multiple levels. While the position is posted as Senior Data Analyst, we encourage applications from candidates with a range of experience who can demonstrate strong analytical judgment, ownership, and growth potential. Final title, scope, and compensation will be calibrated based on experience and demonstrated skills.
What You’ll Do:
- Own data products end-to-end — driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency. You'll ramp into full ownership of your products and workflows with increasing autonomy as you build expertise.
- Work with massive amounts of data to answer our clients' key questions about the companies and datasets we analyze. You'll develop deep expertise in our proprietary methods and techniques, building strong mental models that allow you to ensure data accuracy, identify methodology gaps, and derive key insights.
- Tackle complex data problems using strong analytical judgment to refine methodologies, test new datasets, and solve challenges that require creative thinking — even when information is incomplete or ambiguous.
- Use AI and tooling to drive meaningful leverage — increasing speed, reducing manual work, and automating portions of workflows. You'll build repeatable processes, maintain a high bar for correctness and quality, and validate AI-generated outputs.
- Partner with Research, Engineering, Product, and other teams to solve problems, improve workflows, and deliver high-quality products.
- Identify opportunities to improve products and processes — whether that's refining a methodology, exploring a new dataset, or finding a better way to do something. Contribute ideas that improve how your team operates and how we deliver value to clients.
Over your first year, you might:
- Develop a new methodology that significantly improves the accuracy of an existing investment product.
- Build an entirely new research product covering an adjacent market or investment theme.
- Evaluate a new alternative dataset and determine how it can strengthen existing estimates or unlock new analytical capabilities.
- Create an AI-powered analytical workflow that dramatically reduces the time required to develop recurring research.
- Design a new dashboard or AI experience that changes how clients explore sector data.
You Are Likely To Succeed If
- You have 4+ years of experience in data analytics, ideally in financial services, consulting, data science, product analytics, high-growth technology, or another environment where rigorous analysis informs important decisions. We value demonstrated capability and trajectory alongside years of experience.
- You have advanced SQL skills and experience using Python or PySpark to build reliable, reusable analytical workflows and automations.
- You enjoy turning complex datasets into scalable products and methodologies that customers rely on.
- You quickly develop strong mental models of unfamiliar businesses, industries, and datasets, then use them to improve methodologies and uncover opportunities.
- You thrive in ambiguous environments, proactively identifying what matters and taking ownership of problems beyond your immediate scope.
- You communicate complex concepts clearly—including methodologies, assumptions, risks, and tradeoffs—to technical and non-technical audiences.
- You are curious about industries, competitive dynamics, and the factors that drive company performance.
- You actively use AI tools and are excited about finding fundamentally better ways to build analytical products.
What We Offer:
Our compensation package includes comprehensive benefits, perks, and a competitive salary:
- We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
- Your growth at YipitData is determined by the impact that you are making, 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. See more on our high-impact, high-opportunity work environment above!
- The annual base compensation for this position is anticipated to be $140K–$190K, reflecting the range of levels at which we may hire. Final title, scope, and compensation will be determined based on the candidate’s experience, knowledge, skills, abilities, and internal team benchmarks.
The total compensation package includes a mix of base, bonus, equity, and benefits
This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. Income may be subject to New York State tax withholding.
Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.
We are 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. We are proud to be an equal opportunity employer.
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Originally posted on Himalayas