出海雷达

Staff Data Analyst

其他限定地区(需当地身份)
公司Facet
薪资$170,000 - $200,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

费塞特成立于2016年,认为客观的个性化金融咨询是为了生活良好而必不可少。我们的使命是通过提供新的建议标准赋予人们更丰富的生活的能力。通过消除资产最小值,我们提供全面规划,远超出投资以解决金钱影响生活的所有方式。为了实现这一目标,我们利用"人加技术"方法,将 CFP®专业人员的专业知识与尖端人工智能和自动化的结合起来。这个模式允许费塞特集成顾问到我们的成员中整体财务图像为一个负担得起的,平稳会员费用。我们对创新和成员成功的承诺获得了全国认可,包括被美国今日评为2025年1位最佳金融咨询公司,并被命名为"新闻周刊"2025年美国最好的金融咨询公司名单。通过 A+BBB 评级和 Treastpilot 优秀评分 (截至2025年9月16日),我们很自豪能够重新定义我们的成员和团队业务。作为 Facet 工作人员数据分析师的角色,你将领导努力以使 Facet 运营,产品和领导团队拥有他们需要最大限度地发挥业绩的高影响力见解。你将加入数据科学与分析团队,负责建模,了解和优化我们增长,边际和保留倡议的各种方面。这不是传统的 BI 或仪表板构建角色你不会在旧的 BI 系统中拖放你的日子。相反,你将作为高影响力战略合作伙伴和我们的执行管理层和高级领导团队的顾问。你应该是 Python 和 SQL 使用的专家来建立轻量级,可操作的数据报告工具 (利用 Streamlit 和 BigQuery 连接的 Google Sheets)并进行深入探索性数据分析 (EDA) 在 Jupyter 笔记本中。另外,你将被期望利用和集成现代的安全人工智能辅助工程工具和工作流程自动化以指数级地扩展分析过程的速度,准确性和深度。完美的候选人是积极的价值猎手,喜欢嵌入跨职业团队中,具有模范的人际关系和利益相关者管理技能,并喜欢把复杂的分析见解转换为清晰的战略业务建议。日常责任 · 做一个可信的战略顾问:作为高级领导和高管直接的分析合作伙伴

查看英文原文

Facet was founded in 2016 on the belief that objective, personalized financial advice is essential to living well. Our mission is to empower people to live more enriched lives by delivering a new standard of advice. By removing asset minimums, we provide holistic planning that goes far beyond investments to address every way money impacts life. To achieve this, we leverage a "human-plus-tech" approach, combining the expertise of CFP® professionals with cutting-edge AI and automation. This model allows Facet to integrate advice into our members’ entire financial picture—all for an affordable, flat membership fee.
Our commitment to innovation and member success has earned national recognition, including being ranked the #1 Best Financial Advisory Firm 2025 by USA TODAY and named to Newsweek’s list of America’s Top Financial Advisory Firms 2025. With an A+ BBB Rating and a Trustpilot “Excellent” score (as of Sept. 16, 2025)*, we are proud to be redefining the industry for our members and our team alike.
The Role
As a Staff Data Analyst at Facet, you will lead efforts to equip Facet operations, product, and leadership teams with the high-impact insights they need to maximize business performance. You will join the Data Science & Analytics team tasked with modeling, understanding, and optimizing various aspects of our growth, margin, and retention initiatives. This is not a traditional BI or dashboard-building role—you will not spend your days drag-and-dropping in legacy BI systems. Instead, you will act as a high-influence strategic partner and advisor to our executive management and senior leadership teams.
You should be an expert in using Python and SQL to build lightweight, highly actionable data reporting tools (using Streamlit and BigQuery-connected Google Sheets) and conducting deep-dive Exploratory Data Analysis (EDA) in Jupyter Notebooks. Additionally, you will be expected to leverage and integrate modern, secure AI-assisted engineering tools and workflow automation to exponentially scale the speed, accuracy, and depth of your analytical processes.
The perfect candidate is a proactive value-hunter who enjoys embedding themselves in cross-functional teams, has exemplary interpersonal and stakeholder management skills, and loves translating complex analytical insights into clear, strategic business recommendations.
Day-To-Day Responsibilities

  • Be a Trusted Strategic Advisor: Act as a direct analytical partner to senior leadership and executive management. You will spend a significant portion of your day in an advisory role, translating complex data findings into clear, leadership-level recommendations and partnering across business units to drive changes in strategy.
  • Proactive Value Capture: Do not wait for questions to be asked. You will proactively hunt for opportunities to optimize business performance, increase efficiency, and capture untapped value, then work hand-in-hand with teams across the organization to execute on those opportunities.
  • Rapid, Scripted Analytics & EDA: Perform deep-dive Exploratory Data Analysis (EDA) using Jupyter Notebooks to diagnose business trends, test complex hypotheses, and discover hidden relationships in our data.
  • Modern Interactive Reporting: Build and maintain streamlined, interactive data tools using Python and Streamlit, and design high-impact, BigQuery-connected Google Sheets to deliver self-service data directly into the workflows of business leaders.
  • Analytical Workflow Automation & AI Integration: Actively integrate modern AI assistant technologies and secure automation practices into your day-to-day analytics workflows. You will utilize model-driven tools to accelerate code generation, optimize SQL queries, and automate repetitive data exploration tasks safely and efficiently.
  • Data Assembly & Quality: Gather, clean, and model data from various sources using optimized Python, SQL, and dbt, ensuring absolute consistency and accuracy.
  • Evaluate & Produce Quality: Ensure the integrity of our analytical output. You will participate in peer reviews of SQL queries, Python scripts, and analytical methodologies to keep our standards high.

Requirements
· 7+ years of experience in a highly analytical, decision science, or advanced business intelligence role, with a proven track record of directly influencing senior management and executive decision-making.

  • Outstanding stakeholder management skills with the ability to confidently advise, challenge, and collaborate with cross-functional leaders.
  • Proficiency with Python, specifically for data manipulation (Pandas, Numpy), visualization, and building lightweight data applications (Streamlit).
  • Proficiency with SQL and dbt for data modeling, and experience with cloud data warehouse solutions (such as BigQuery or Snowflake).
  • Expert-level experience using Jupyter Notebooks for structured, exploratory data analysis and statistical validation.
  • Demonstrated experience using modern, secure AI tools and developer workflow automation to optimize and accelerate day-to-day coding, debugging, and analytical tasks.
  • Experience leveraging Google Sheets connected directly to cloud data warehouses for business-facing reporting.
  • Strong understanding of core consumer tech businesses and the metrics that matter to them, including: LTV, retention, CAC, ARR, margin, and cohort analysis.
  • Familiar with best practices in secure data handling and customer data privacy.
  • Proven record of identifying a business problem or opportunity, translating it into an analytical approach, and driving it to a measurable business outcome.
  • Prior experience using version control (Git) to collaborate and share code.

Preferred Qualifications
· Prior experience in the financial planning, fintech, or consumer technology industry.
Benefits
· Competitive Compensation: $170,000 - $200,000 base salary + bonus

  • Ownership: Equity in a rapidly growing company on the path to becoming the "Next Great Financial Services Company".
  • Flexibility: Remote-first culture—work from anywhere in the U.S..
  • Time Off: Flexible Paid Time Off (PTO).
  • Comprehensive Benefits and Perks: Medical, dental, vision, 401(k) match, disability, paid parental leave, wellness reimbursement, and education reimbursement programs.

*Facet was ranked #1 Best Financial Advisory Firm 2025 by USA TODAY in April 2025 who partnered with Statista to rank the top 500 RIAs. Recommendations were collected via an independent survey among over 30,000 individuals. self-recommendations were prohibited, and no compensation was provided for the ranking. Facet has been Accredited with the Better Business Bureau® since June 2025, and as of February 2026 holds an A+ BBB Rating. This Accreditation does not imply BBB approval or endorsement. Plant-A Insights Group and Newsweek partnered to identify America's Top Financial Advisory Firms 2025. This analysis was performed with data as of September 2024 and reviewed over 15,000 financial advisories registered with the SEC. These rankings prepared by Plant-A reflect editorial content and no compensation was provided by Facet in connection with America's Top Financial Advisory Firms 2025. As of February 25, 2026; Facet has a 4.8 star rating with TrustPilot.com. TrustPilot uses a formula for calculation that considers three factors: time span, frequency, and Bayesian
Originally posted on Himalayas

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