远程工作雷达

高级分析工程师(财务与运营)

Senior Analytics Engineer (Finance & Operations)

开发工程职能支持限定地区(需当地身份)
公司Skylight
薪资$150,000 - $170,000/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
发布时间昨天
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。

Skylight是一家科技初创公司,正在打造家庭操作系统。我们开发了Skylight Calendar,这是一款深受数百万家庭喜爱的智能日历。我们的使命是通过创造世界上最简单的产品和服务来连接亲人,改善家庭生活。我们的创始人曾是风险投资家和连续创业者,在完全自筹资金且盈利的情况下,将业务扩展到年收入3亿美元以上。我们能够成长一家快乐、健康的公司,专注于打造客户喜爱的产品,而无需投资者施加压力。
我们正在扩大数据团队,需要一位严谨的高级分析工程师,与财务和运营团队紧密合作。该职位将负责财务/运营数据层,从NetSuite、Ramp和Pigment等系统中引入新数据到我们的数据仓库,并构建领导层依赖的仪表盘和指标来管理业务。
职责:

  • 利益相关者协作:与财务、运营及数据团队其他成员合作,了解业务流程和源系统工作流,定义管道需求,识别数据缺口和下游报告影响。
  • 数据基础设施:负责财务和运营数据层,构建可信、可重用的数据模型,以支持报告、分析和决策。
  • 数据集成:设计并记录数据如何从NetSuite、Ramp和Pigment等源系统流入Snowflake和Omni。
  • 数据质量:创建验证检查、对账流程和异常报告,以提高关键财务/运营数据在源系统、Snowflake和Omni中的信任度。
  • 指标治理:与业务负责人定义和管理关键财务/运营指标,包括业务逻辑、数据粒度、数据来源、责任人、更新频率和已知限制。
  • 仪表盘开发:创建和维护仪表盘,从高管级摘要到细粒度自助分析,以传达绩效指标并支持根本原因分析。
  • 持续改进:识别并执行自动化手动数据流、报告流程和对账工作流的机会。
  • 战略:作为财务和运营团队的战略合作伙伴,与他们合作构建和改进LTV/CAC、最后一公里单位成本等指标。

要求

  • 经验:5年以上分析相关工作经验,接触过财务或运营数据集。
查看英文原文

Skylight is a technology startup building the OS of the family. We make Skylight Calendar, the smart calendar loved by millions of families. Our mission is to connect loved ones by creating the world’s simplest products and services that improve family life. Our founders are former venture capitalists and serial entrepreneurs who have scaled this business to $300M+ in annual revenue while being completely bootstrapped and profitable. We get to grow a happy, healthy company focused on making products our customers love without investors breathing down our necks.
We are expanding our Data team and are in need of a rigorous Senior Analytics Engineer to partner closely with our Finance and Operations teams. This role will own the Finance/Operations data layer, bring new data into our warehouse from systems like NetSuite, Ramp, and Pigment, and build the dashboards and metrics leadership relies on to run the business.
Responsibilities:

  • Stakeholder Collaboration: Partner with Finance, Operations, and the rest of the Data team to understand business processes and source-system workflows, define pipeline requirements, and identify data gaps and downstream reporting impacts.
  • Data Infrastructure: Own the Finance and Operations data layer and build trusted, reusable data models that support reporting, analysis, and decision-making.
  • Data Integration: Design and document how data should flow between source systems such as NetSuite, Ramp, and Pigment into Snowflake and Omni.
  • Data Quality: Create validation checks, reconciliation workflows, and exception reporting to improve trust in critical Finance/Ops data across source systems, Snowflake, and Omni.
  • Metric Governance: Define and govern key Finance/Operations metrics with business owners, including business logic, data grain, source of truth, ownership, refresh cadence, and known limitations.
  • Dashboard Development: Create and maintain dashboards, from executive-level summaries to granular self-serve analytics, to communicate performance metrics and support root-cause analysis.
  • Continuous Improvement: Identify and execute opportunities to automate manual data flows, reporting processes, and reconciliation workflows.
  • Strategy: Be a strategic partner with our Finance & Ops teams, collaborating with them to build and improve metrics such as LTV/CAC, Cost Per Unit for Last Mile, etc.

Requirements

  • Experience: 5+ years in an analytics role with exposure to financial or operational data sets.
  • Technical Skills: Strong SQL skills and experience building reusable, well-structured data models in a cloud data warehouse environment, ideally Snowflake; experience with BI or semantic-layer tools such as Omni, Looker, Tableau, Power BI, or Sigma.
  • Data Quality Mindset: Experience validating outputs, reconciling discrepancies, documenting assumptions, and creating checks for critical metrics.
  • Business Acumen: Ability to understand business processes and translate them into data models, metrics, dashboards, and documentation.
  • Communication: Strong stakeholder management skills, including gathering requirements, managing expectations, pushing back constructively, and communicating tradeoffs.
  • Adaptability: Comfort working in an early-stage or evolving data environment where systems, pipelines, definitions, and ownership boundaries may still be forming.

Preferred:

  • Experience with source-of-truth systems such as ERP (NetSuite), WMS, TMS (OSCA), or CPM (Pigment).
  • Experience with wholesalers and EDI.

Benefits
Our competitive compensation package includes:

  • Competitive Salary + Equity Package
  • 401K matching
  • Wellness, learning, and home-office budgets
  • Health, Dental & Vision Medical Plans
  • Tremendous autonomy to set the direction of your work
  • Unlimited PTO
  • Company holidays on the first Friday of every month (Excluding November, December, and January)

Equal opportunity employer
Skylight is committed to building a diverse and inclusive team. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, disability, protected veteran status, or any other factor protected by applicable federal, state, or local laws. If you’re the best person for the job, we want you on board!
We hire across the U.S., but for legal reasons, we have to list NY and CO separately.
For Colorado-based candidates, the range being offered for this role is $150-170k based on experience and for California-based candidates, the range being offered for this role is $150-170k based on experience. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment for qualified applicants with criminal histories in a manner consistent with the requirements of this law.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Originally posted on Himalayas

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