数据分析师 II
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Data Analyst IIBrex · San Francisco, California, 美国 · $94k – $117k
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发现指数 57/100,仅依据与该职位一起存储的证据计算。
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分数构成
- 时效性 (随职位发布时间变化)+18
- 雇主官方来源+15
- 已披露薪资+15
- 稀有职位+1
- 公司来源健康度+8
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职位描述
机器翻译为什么加入我们
Brex 是智能金融平台,帮助企业在 200 多个市场中更明智地支出、更快速地行动。通过将全球企业卡和银行服务与直观的支出管理、账单支付和差旅软件相结合,Brex 帮助创始人和财务团队加速运营、获得实时可见性并轻松控制支出。Brex 的 AI 原生自动化和世界级服务为客户消除了手动费用和会计任务,让他们能够专注于最重要的事情。成千上万家全球顶尖公司都在使用 Brex,包括 DoorDash、Coinbase、Robinhood、Zoom、Plaid、Reddit 和 SeatGeek。
在 Brex 工作,你可以突破自己的极限、挑战现状,并与业内最聪明的人才合作。我们致力于打造多元化的团队和包容的文化,并相信你的潜力只应受限于你的梦想有多大。我们通过为你提供职业成长所需的工具、资源和支持,让这一切成为现实。
Brex 的数据团队
数据组织为 Brex 各团队开发洞察、模型和数据基础设施,包括销售、市场营销、产品、工程和运营。我们的数据科学家、分析师和工程师共同协作,使数据——以及从数据中得出的洞察——成为整个公司的核心资产。
你将做什么
作为一名数据分析师 II(DA),你将在提升 Brex 各业务团队的运营跟踪和报告能力方面发挥核心作用。你将与数据科学家、数据工程师和合作团队紧密合作,通过可视化、自助工具和临时分析为业务带来有意义的洞察。这是一个在快节奏金融科技环境中的高影响力职位,你的工作将直接影响战略决策。
你在哪里工作
该职位将设在我们的旧金山办公室。我们采用混合办公环境,将在办公室工作的活力和联系与居家办公的福利和灵活性相结合。我们目前要求每周至少三天协调到办公室工作,周一
岗位职责
作为一名数据分析师 II(DA),你将在提升 Brex 各业务团队的运营跟踪和报告能力方面发挥核心作用。你将与数据科学家、数据工程师和合作团队紧密合作,通过可视化、自助工具和临时分析为业务带来有意义的洞察。这是一个在快节奏金融科技环境中的高影响力职位,你的工作将直接影响战略决策。
你在哪里工作
该职位将设在我们的旧金山办公室。我们采用混合办公环境,将在办公室工作的活力和联系与居家办公的福利和灵活性相结合。我们目前要求每周至少三天协调到办公室工作,周一、周三和周四。作为福利,我们每年还有最多四周的完全远程工作!
• 运用数据可视化和叙事能力创建商业智能解决方案(例如 Looker 和/或 Hex 仪表板),以实现可操作的洞察。
• 执行临时分析和深入探究,以调查业务问题、发现趋势并提供数据驱动的建议。
• 开发自助数据工具和流程,使业务利益相关者能够独立监控各自领域的绩效和健康状况。
• 与数据科学家和数据工程师紧密合作,识别数据源、启用数据管道,并支持分析数据模型的开发,以将报告和仪表板投入运营。
• 实施并维护严格的数据质量检查,以确保仪表板、报告和分析中使用的数据集的完整性和稳健性。
• 与各部门合作——包括销售、运营、产品和财务——了解他们的数据需求,并提供量身定制的分析和报告以支持战略规划。
• 使用 Python 为重复性分析和报告工作流的自动化做出贡献。
任职要求
• 3 年以上专业环境中的数据分析或相关职位经验。
• 2 年以上直接与销售、运营、产品或同等业务团队合作的经验。
• 精通 SQL,能够操作数据并执行复杂分析(CTE、窗口函数、跨大型数据集的连接)。
• 具有使用 Python 进行数据分析、自动化或脚本编写的经验。
• 具有商业智能和数据可视化工具(Looker、Hex、Tableau 或类似工具)的经验。
• 强大的定量和分析能力,并展示出将数据转化为业务洞察的能力。
• 出色的沟通能力,以及与不同职能和不同技术熟练程度的利益相关者有效合作的能力。
• 具有使用生成式 AI 和基于 LLM 的工具(Claude Code、Cursor、GitHub Copilot)来执行和加速分析、自动化报告以及构建自助数据工具的经验。
加分项
• 熟悉云数据平台(例如 Snowflake、BigQuery、Databricks)。
• 熟悉用于数据建模和转换的 dbt。
• 接触过数据管道编排工具(例如 Airflow)。
• 具有金融科技、金融服务或支付领域的经验。
• 能够适应快节奏、高增长且优先级不断变化的环境。
福利待遇
Brex 是智能金融平台,帮助企业在 200 多个市场中更明智地支出、更快速地行动。通过将全球企业卡和银行服务与直观的支出管理、账单支付和差旅软件相结合,Brex 帮助创始人和财务团队加速运营、获得实时可见性并轻松控制支出。Brex 的 AI 原生自动化和世界级服务为客户消除了手动费用和会计任务,让他们能够专注于最重要的事情。成千上万家全球顶尖公司都在使用 Brex,包括 DoorDash、Coinbase、Robinhood、Zoom、Plaid、Reddit 和 SeatGeek。
在 Brex 工作,你可以突破自己的极限、挑战现状,并与业内最聪明的人才合作。我们致力于打造多元化的团队和包容的文化,并相信你的潜力只应受限于你的梦想有多大。我们通过为你提供职业成长所需的工具、资源和支持,让这一切成为现实。
Brex 的数据团队
数据组织为 Brex 各团队开发洞察、模型和数据基础设施,包括销售、市场营销、产品、工程和运营。我们的数据科学家、分析师和工程师共同协作,使数据——以及从数据中得出的洞察——成为整个公司的核心资产。
该职位的预期薪资范围为 $93,600 - $117,000。然而,起始基本工资将取决于多种因素,包括候选人的地点、技能、经验、市场需求和内部薪酬平衡。根据所提供的职位,股权和其他形式的薪酬可能会作为总薪酬方案的一部分提供。
Brex LLC 是 Capital One, N.A. 的全资子公司。 请注意,求职者可能会成为恶意行为者寻找个人数据的目标。Brex 招聘人员只会通过 LinkedIn 或使用 brex.com 域名的电子邮件联系。任何声称来自 Brex 但通过其他来源的联系都应被忽略。
以上内容由机器翻译自动生成,可能存在错误;投递前请以雇主原文为准。
查看雇主原文
职位描述
Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Data at Brex
The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.
What you’ll do
As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex. You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses. This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.
Where you’ll work
This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monda
岗位职责
As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex. You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses. This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.
Where you’ll work
This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
• Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.
• Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.
• Develop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.
• Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.
• Implement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.
• Partner with various departments—including Sales, Operations, Product, and Finance—to understand their data needs and deliver tailored analyses and reporting that support strategic planning.
• Contribute to the automation of recurring analyses and reporting workflows using Python.
任职要求
• 3+ years of experience in data analytics or a related role in a professional setting.
• 2+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.
• Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).
• Experience with Python for data analysis, automation, or scripting.
• Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).
• Strong quantitative and analytical skills with a demonstrated ability to translate data into business insights.
• Strong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.
• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.
Bonus points
• Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).
• Familiarity with dbt for data modeling and transformation.
• Exposure to data pipeline orchestration tools (e.g., Airflow).
• Experience in fintech, financial services, or payments.
• Comfort operating in a fast-paced, high-growth environment with evolving priorities.
福利待遇
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Data at Brex
The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.
The expected salary range for this role is $93,600 - $117,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A. Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.