SpotOn

SpotOn

Analyst, Sales Operations

Chicago, IL

No sponsorship$73k-$91kDetected 30 days ago
PythonSQLData AnalysisData ScienceData VisualizationNLPLLMsStatisticsSalesforceCRMSalesLeadershipCommunicationCollaborationProblem Solving

About the role

  • From our award-winning point-of-sale to AI-powered profit tools, everything we do helps operators boost profit, work smarter, and keep their best people.
  • If you're looking to make an impact with heart and hustle, SpotOn is the place for you.
  • The Sales Operations team at SpotOn comprises enthusiastic individuals dedicated to making a meaningful impact.

Responsibilities

  • Build and maintain reporting that provides visibility into lead quality, sales follow-up, and lead management effectiveness.
  • Translate complex data and model outputs into clear, actionable recommendations that improve lead performance, sales efficiency, and strategic decision-making.
  • Measure the effectiveness of lead management initiatives and recommend optimizations based on performance data.
  • Partner with stakeholders to improve how leads are identified, prioritized, and worked across the organization.
  • Leverage Salesforce, SQL, and automation tools to streamline lead management processes and reduce manual work.
  • Lead data is accurate, enriched, and trusted across the organization.
  • Lead scoring and prioritization frameworks help sales teams focus on the highest-value opportunities.
  • Reporting provides clear visibility into lead performance and conversion trends.
  • Sales, Marketing, and Revenue Operations teams view you as a trusted partner for lead management strategy and execution.
  • Predictive models and data science outputs are actively used by leadership to guide lead strategy, resource allocation, and go-to-market decisions.

Requirements

  • 2-4 years of experience in Revenue Operations, Sales Operations, Marketing Operations, Lead Management, or a related analytical role.
  • Hands-on experience with data science techniques including predictive modeling, clustering, regression analysis, and feature engineering applied to business or marketing datasets.
  • Experience with BI and data visualization platforms (e.g., Tableau, Looker, Power BI, or similar) and the ability to build intuitive dashboards for non-technical stakeholders.
  • Work authorization in the U.S. is required.

Nice to have

  • Strong proficiency in SQL for complex data extraction and manipulation
  • experience with Python or R for statistical analysis and modeling strongly preferred.

Skills

  • Named the #1 Restaurant POS by G2 (Summer 2026), based on ratings from real users
  • Rated the top-rated point-of-sale (POS) for restaurants, bars, retail, and small businesses by Capterra users
  • Awarded Great Places to Work and Built In's Best Workplaces for multiple years running

Compensation

  • Our base pay range for this role is $73,000 -$91,000/year.

Benefits

  • We can't take care of our clients without taking care of our employees first, and that's why we invest in your wellbeing with a competitive benefits package designed to support your health, family, and future:
  • Medical, Dental, and Vision Options: Nationwide plans to fit your personal healthcare needs.
  • HSA with Employer Match: High-deductible health plan enrollees receive an annual company contribution to their Health Savings Account
  • Company-Paid Life Insurance & Disability
  • 401(k) Retirement Savings & Annual Employer Match
  • Pre-Tax Commuter Benefits
  • Paid Parental Leave
  • Paid vacation, 10 company holidays (including 1 floating holiday), sick time, and volunteer time off
  • Monthly cell phone and internet stipend
  • Education reimbursement up to $2,000 per calendar year to assist with your professional development

Company info

  • At SpotOn, we put people above everything else.
  • We're known for our innovative software and technology solutions, but we stand out because of the hardworking humans behind the tech.

Visa & Work Authorization

  • Work authorization in the U.S. is required.

This listing is sourced directly from SpotOn's careers page and normalized into a canonical job model.