Senior Data Analyst, Consumer

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 youll report to the head of Consumer Growth. Youll 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.

Youll partner with data engineers product managers and marketers to define and measure the guest journey in data. Youll create reports and visualizations to elevate key results. Most importantly youll 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 youll need to thrive (Requirements)

• Bachelors 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; Masters 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 to translate stakeholder questions into clear analytical approaches dashboards and actionable insights.
• Experience supporting experimentation A/B testing and behavioral analytics across both marketing and product surfaces.
• Strong communication and storytelling skills with the ability to distill complex data into clear recommendations for technical and non-technical audiences.
• A self-starter mindsetcomfortable building new analytics foundations and iterating on them in a fast-moving environment.
  
  

Bonus Ingredients*

• Experience working in consumer growth lifecycle or marketing analytics at a high-growth tech company in both B2C and B2B contexts.
• Expertise with tools such as Hex Looker Snowflake Sigma Airflow dbt GitHub AWS Python and AI-powered analytics tools.
• Experience integrating and attributing data from marketing platforms (paid media: Google Apple Meta Tiktok CRM and lifecycle) into data platforms and product event data.
• Familiarity with experimentation platforms and feature-flag-driven product launches.

AI at Toast

At Toast one of our company values is that were hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster more independently and with higher quality. We provide these tools across all disciplines from Engineering and Product to Sales and Support and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; its a core part of our culture.

Our Total Rewards Philosophy

We strive to provide competitive compensation and benefits programs that help to attract retain and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters changing needs. Learn more about our benefits at base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary our total rewards components include cash compensation (overtime bonus/commissions if eligible) benefits and equity (if eligible).