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Skimmer

Field service software for pool companies

Data Analyst - B2B SaaS, Revenue Operations

Business IntelligenceUpdated on Nov 13
Full-time

About the Job

Requirements

  • Prior work in revenue operations, business intelligence, or data analytics; a background in vertical SaaS is ideal, and service-industry and payment-solutions experience is preferred.
  • Proven expertise in SQL, plus experience querying a cloud data warehouse such as Snowflake and working with modern data transformation workflows such as dbt.
  • Proven experience with CRM platforms such as HubSpot or Salesforce, including data structures, field mapping, and data-quality workflows.
  • Ability to support a recurring production reporting process, including export, build, quality assurance, and publishing, for stakeholders including executives.
  • Strong attention to detail and comfort working with clean, well-defined data sources and raw, messy data.
  • Proficiency in a business intelligence or reporting tool such as Sigma, Looker, Tableau, or Power BI.
  • Experience with AI tools such as Claude, Replit, or OpenAI for prototyping and analysis.

Responsibilities

  • Help run weekly Revenue Operations key performance indicator dashboards and performance reporting, taking ownership of more over time; cover the go-to-market funnel, including marketing, free trial, pipeline, and forecast; payments and financial performance; product adoption, including newer add-on products; churn and retention; and customer success and onboarding.
  • Support reporting used by Finance and Accounting, including revenue-share reporting for partner and referral agreements, reconciliation support, and reporting on embedded financing products.
  • Answer ad hoc requests from the executive team, program leaders, and other stakeholders.
  • Support recurring pipeline and field-hygiene audits by standardizing and consolidating fields and helping close known data-quality gaps, including in newer pipelines and product lines.
  • Partner with the Product Analyst to bring product-usage and adoption data into the CRM so Customer Success, Sales, and program leaders can see feature adoption, setup, and usage volume.
  • Automate manual, spreadsheet-driven processes so CRM data populates automatically instead of through manual uploads.
  • Prototype new reporting with AI tools, then work with the Director of Revenue Operations to get it approved and built into the production business intelligence tool.
  • Help establish reporting for go-to-market, finance, and operations areas as they come online.
  • Support data matching, migration, and reconciliation for acquisitions, including distinguishing an acquired business's standalone performance from its results in company-wide numbers.
  • Learn the customer and revenue data model, including how customer identity is resolved across systems, and take on more ownership of it over time with the Director's guidance.

Desired Qualifications

  • Familiarity with go-to-market reporting or exposure to finance or accounting reconciliation work.

About the Company

Skimmer

Field service software for pool companies

Skimmer provides a subscription-based field service management platform tailored for pool service companies. It consolidates customer data into one system and helps manage technicians, optimize service routes, and track shopping lists, work orders, tasks, and invoices. Real-time visibility across daily operations enables faster invoicing, reduced proof-of-service complaints, and better cash flow. It also tracks and forecasts chemical usage, identifies unprofitable customers, and aims to boost customer satisfaction and loyalty. The goal is to streamline operations, improve efficiency, and support business growth for pool service businesses.

Company size
51-200
Company stage
Growth Equity (Venture Capital)
Total funding
$84M
Headquarters
Austin, TX
Founded
2013

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