Senior Data Analyst, Consumer

Overview

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

As a Senior Data Analyst on the Consumer team at Toast, you’ll report to the head of Consumer Growth. You’ll work at the intersection of product-led growth metrics and marketing analytics to drive Growth and support the Consumer, Product, Lifecycle, Marketing and Engineering teams in understanding how guests discover, adopt, and engage with Toast products. You will build measurement frameworks, dashboards, and analyses that connect acquisition channels with in-product behavior and downstream outcomes, slice/dice relevant data for action, and identify the highest-impact growth segments.

We operate like a small startup within Toast with a strong focus on experimentation, testing, and iteration. Getting the data right is essential to scaling consumer growth. Your work will directly inform growth strategy and execution and influence how we attract, convert, and retain consumers.

You love solving complex problems and getting to the truth of what motivates guests. You are grounded in the numbers, comfortable tying together marketing, product, and behavioral data, and skilled at translating insights into clear, actionable recommendations. Your data informs strong decision-making and continuously improves both acquisition efficiency and the consumer product experience.

You’ll partner with data engineers, product managers, and marketers to define and measure the guest journey in data. You’ll create reports and visualizations to elevate key results. Most importantly, you’ll deliver scalable insights that the consumer team can use to acquire, retain and delight guests of Toast restaurants.

A Day In The Life (Responsibilities)

• Write SQL queries and leverage analytics tools to create datasets and baseline reports that fuel growth; support funnel analysis, cohort analysis, attribution, experimentation, and revenue reporting.
• Partner with product and functional teams to deliver analyses, datasets, and metrics that measure the full funnel across consumer acquisition, activation, engagement, retention, and monetization.
• Connect marketing channel performance (paid, owned, and earned) with in-product behavior, conversion, and long-term customer value to inform product-led growth strategies.
• Build scalable dashboards and self-serve reporting that give teams clear visibility into growth performance across channels and product surfaces.
• Proactively identify trends, anomalies, and risks across the growth funnel.
• Support and influence an experimentation culture by defining success metrics and analyzing A/B/n tests across both marketing touchpoints and in-product experiences.
• Act as a trusted analytics partner, bringing your own insights and recommendations to department reviews, roadmap discussions, and leadership forums.
• Work cross-functionally with Engineering, Business Intelligence, and Data Platform teams as needed to ensure integrity and reliability of underlying data.
• Enable self-service analytics by documenting key metrics, improving data discoverability, and training stakeholders on analytics tools and best practices.

What You’ll Need To Thrive (Requirements)

• Bachelor’s degree in Business, Economics, Computer Science, Information Systems, or a quantitative field with 6+ years of experience in Data Analytics, Growth Analytics, Marketing Analytics, or Product Analytics;
  Master’s degree with 4+ years experience; or equivalent experience.
• Strong SQL skills and experience with statistical analysis and modeling (e.g. Python, R).
• Understanding of growth funnels and B2C customer metrics, including acquisition, activation, engagement, retention, and LTV at a company that has achieved scale.
• Hands-on experience working with various data platforms (e.g. Snowflake, Amplitude, Heap) and tools for querying, visualization, etc. (e.g. Looker, Hex, Sigma, Tableau)
• Experience designing and maintaining metrics that bridge marketing performance and product usage.
• Proven ability to QA data and ensure accuracy, consistency, and trust in reporting.
• Ability…