Senior Manager of Product Analytics

At SpotOn, we’re helping restaurants and small businesses compete and win with flexible payment and software technology—backed by real people who really care. From seamless point-of-sale systems to integrated restaurant management solutions, every SpotOn tool is designed to help local businesses increase profits and create better experiences for their customers and employees.  

Recently, SpotOn was:

• Named one of Fast Company’s Most Innovative Companies of 2024
• Awarded Great Places to Work and Built In’s Best Workplaces for the third year in a row
• Selected as the Best Overall Restaurant POS by NerdWallet 
• Rated the top-rated point-of-sale (POS) for restaurants, bars, retail, and small businesses by Capterra users

We’re committed to caring hard and moving fast so that we can continue to grow and make a positive impact together. 

That’s where you come in. 

Senior Manager of Product Analytics

We are seeking a strategically minded Senior Manager of Product Analytics to lead our Product Analytics team. This role plays a critical role in ensuring our products drive meaningful customer and business outcomes by leveraging advanced analytics and strategic insights. The ideal candidate is a data-driven leader who can generate actionable insights at speed and scale, eliminate inefficiencies, and influence product strategy and innovation. This role will directly partner with VP-level leadership across Product, Engineering, Design, Finance, and other key stakeholders, offering significant opportunities for impact across the business.

ESSENTIAL FUNCTIONS 

• Lead and develop a team of analysts and data scientists, fostering a high-performance culture of curiosity, strategic thinking, and collaboration.
• Partner with Product, Engineering, and Design leaders to embed data into the product development lifecycle, ensuring decisions are backed by rigorous analysis and insights.
• Develop scalable measurement frameworks to assess and optimize product performance, customer experience, and business impact.
• Design and implement robust data models using dbt and other modern data stack tools to ensure accurate, consistent, and accessible data foundations for analytics and reporting across the organization.
• Analyze customer behavior and product performance to uncover opportunities for improving user experience and driving business growth.
• Design and execute statistically sound A/B tests, experiments, and other causal inference approaches to measure the impact of product changes and strategic initiatives.
• Define and operationalize key success metrics to create a unified understanding of product performance across the organization.
• Provide data-driven insights and recommendations to shape product strategy, roadmap prioritization, and go-to-market decisions.
• Drive best practices in experimentation, statistical rigor, and data storytelling to ensure high-quality analyses and actionable insights.
• Translate complex data into compelling narratives, effectively influencing senior leaders and cross-functional teams.
• Work closely with product, engineering, marketing, and executive teams to align on priorities and ensure analytics is leveraged effectively across the company.

MINIMUM QUALIFICATIONS

• Proven experience working in product analytics with a strong business acumen.
• Proficiency in SQL, dbt, statistical analysis, data modeling, and A/B testing methodologies. Machine learning experience is a plus.
• Strong expertise with modern business intelligence and analytics platforms, with flexibility to work with various tools (e.g., PowerBI, Metabase, Google Analytics, Heap, Amplitude, Looker).
• Exceptional communication and storytelling skills—ability to translate data insights into actionable business recommendations for executive stakeholders.
• Demonstrated ability to collaborate cross-functionally and influence senior leadership.
• Experience leading and developing high-performing analytics teams.
• Experience in consumer technology, SaaS, marketplace, or POS-related industries is a plus.

EXPERIENCE REQUIREMENTS
7+ years of experience in product analytics, business intelligence, or data science with at least 3 years as a direct manager of Data Scientists or Analysts.

EDUCATION REQUIREMENTS

• Bachelor’s or Master’s degree in a quantitative discipline (e.g., Statistics, Mathematics, Economics, Computer Science, or a related field).
• MBA is a bonus, but not a requirement.

Compensation:

• Our base pay range starts at $150,000 -$200,000 for this role
• Please note the salary ran