Senior Analytics Engineer, Finance & Operations

🔥 1 hour ago

🇺🇸 United States – Remote

💵 $150k - $170k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 6%

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Skylight

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2015

🏭 Manufacturing

📣 Marketing

💼 Consulting

💰 Venture Round on 2020-09

Manufacturing • Marketing • Consulting

Skylight is a company that offers digital picture frames and calendar devices designed to bring families together and simplify household organization. Their products include a Skylight Frame, which allows users to share photos and videos with loved ones through an anti-glare touchscreen display, and the Skylight Calendar, which displays everyone's schedules in one interactive device. These products are easy to set up, do not require a subscription, and aim to keep users connected and organized. Skylight frames and calendars are touted as great gifts, especially for keeping family memories alive and ensuring ease of communication among multiple family members.

📋 Description

• Partner with Finance, Operations, and the Data team to understand business processes and source-system workflows, define pipeline requirements, and identify data gaps and downstream reporting impacts • Own the Finance and Operations data layer and build trusted, reusable data models for reporting, analysis, and decision-making • Design and document data flows from systems such as NetSuite, Ramp, and Pigment into Snowflake and Omni • Create validation checks, reconciliation workflows, and exception reporting for Finance/Ops data across source systems, Snowflake, and Omni • Define and govern key Finance/Operations metrics, including business logic, data grain, source of truth, ownership, refresh cadence, and known limitations • Create and maintain executive-level and granular self-serve dashboards to communicate performance metrics and support root-cause analysis • Automate manual data flows, reporting processes, and reconciliation workflows • Partner strategically with Finance and Operations to build and improve metrics such as LTV/CAC and Cost Per Unit for Last Mile

🎯 Requirements

• 5+ years in an analytics role with exposure to financial or operational data sets • Strong SQL skills • 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 • Experience validating outputs, reconciling discrepancies, documenting assumptions, and creating checks for critical metrics • Ability to understand business processes and translate them into data models, metrics, dashboards, and documentation • Strong stakeholder management skills, including gathering requirements, managing expectations, pushing back constructively, and communicating tradeoffs • 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) • Preferred: Experience with wholesalers and EDI

🏖️ Benefits

• 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)