Sales Operations & Analytics Manager

Employment Type: Full-Time

Position Overview

Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry by helping customers deliver more personalized and profitable guest experiences. Our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular.

We are seeking a detail-oriented professional with a passion for transforming complex data sets into actionable insights to join our team as Sales Operations & Analytics Manager. This role will take ownership of our data analysis and reporting efforts. Reporting to the Senior Director, Sales Operations & Analytics, you will collaborate with Sales leadership and cross-functional teams, including Product, Marketing, Operations, and Finance, to provide strategic recommendations and drive data-related initiatives. Your expertise in data analytics and visualization will contribute to the success of our business and help us make data-driven decisions.

This position is remote-friendly and can be based anywhere in the U.S. or at Olo’s headquarters in NYC.

Responsibilities

• Build and implement sales reporting processes and metrics; proactively monitor revenue-generating activities to maintain high levels of quality, accuracy, and process consistency, and share key metrics for executive and board-level reporting.
• Create and maintain reporting dashboards and KPIs that provide insights into revenue performance, sales pipeline, and market trends.
• Support GTM leadership through capacity planning, productivity review, market segmentation, territory carving, and headcount allocation.
• Evaluate sales forecasting results and trends, and operationalize forecasting with data.
• Create and maintain a single source of truth for enterprise data dictionary.
• Collaborate with stakeholders to define business requirements and develop effective data-driven solutions to support them.
• Stay up to date with the latest industry trends, tools, and best practices in sales operations and data analytics, and proactively share knowledge and insights with the team.

Requirements

• 6+ years of experience within analytics, sales operations, or strategy, ideally in a fast-paced environment with B2B SaaS experience strongly preferred.
• Excellent analytical and quantitative skills used to translate data and trends, along with market and customer insight, into the execution of a clear selling strategy.
• Strong knowledge of databases and experience in querying and working with large datasets.
• Proficiency in Salesforce with excellent analytical, reporting, data manipulation, dashboard creation, and business intelligence skills.
• Strong knowledge of other sales and BI tools like Clari, Tableau, and similar platforms.
• Excellent problem-solving and critical-thinking skills, with the ability to analyze complex data sets and distill actionable insights.
• Strong communication skills, with the ability to effectively present complex findings and recommendations to non-technical stakeholders.
• Self-motivated and proactive, with the ability to work independently and collaborate effectively within a team.

About Olo

Olo (NYSE: OLO) is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 750 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular.

Learn more at olo.com.

We’re remote-friendly. Since 2015, we have been evolving our culture to continue to support a more distributed workforce and now over 75% of our team works remotely.