Senior Analytics Engineer (Finance & Operations)

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 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!

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We hire across the U.S., but for legal reasons, we have to list NY and CO separately.

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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.

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