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Toast

Senior Data Analyst, Customer Experience Platform

Sorry, this job was removed at 05:41 p.m. (PST) on Wednesday, Nov 27, 2024
In-Office or Remote
Hiring Remotely in United States
92K-147K Annually
In-Office or Remote
Hiring Remotely in United States
92K-147K Annually

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Toast is driven by building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love.

As the Data Analyst for the Customer Experience Platform you’ll work closely with the product teams to understand our customer’s behavior and help inform where we focus our R&D efforts. We’re a scaling team in the midst of building the strategy and vision for things like AI-led support, a new onboarding experience, and PLG at Toast. We operate like a small startup with high ambitions and a focus on experimentation, testing, and iteration - getting the data right is a key to our success. You love solving complex problems and getting to the ground truth for what’s happening in our product and with our customers. You are grounded in the numbers, can work cross-functionally to tie different data sources and inputs together, and can help uncover and translate insights into customer and user needs.

About this roll* (Responsibilities) 

  • Partner with counterparts in product, engineering, finance, and operations departments to produce the analyses, datasets and data models necessary to measure and inform product development
  • Develop deep systemic knowledge of data from operational systems (eg CRM or ERP software) and strategies for continuous improvement of the reporting capabilities of that data
  • Prototype SQL queries to create datasets that support product, operational, and revenue reporting needs
  • Build tools and dashboards to automate reporting and generate insights that will allow the team to quickly and accurately see how our products and processes are performing
  • Proactively identify areas outside the regular stream of business requests where analytics can add value - have that “canary in a coal mine” mentality when it comes to data
  • Bachelor's degree in Computer Science, Information Systems, or a related field (or proven experience in these areas)
  • 3+ years professional experience in BI, Data Analytics, Data Engineering, or similar role, with a focus on understanding user and behavioral data and its relationship to business outcomes
  • Robust methods for QA data to ensure accuracy and completeness
  • Strong SQL & data modeling skills
  • Advanced knowledge of ETL and data pipelining practices
  • Ability to and comfort with disambiguating stakeholder needs and requirements

Bonus Ingredients*

  • Relevant work experience in a high-growth tech or SaaS company
  • Experience using backend data from operational sources (Netsuite, Salesforce, RevPro / Zuora Revenue)
  • Experience with Hex, Looker, Snowflake, Airflow, GitHub, AWS, dbt, python
  • Familiarity with Financial and Accounting concepts, data and reporting

Our Spread* of Total Rewards
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 https://careers.toasttab.com/toast-benefits

*Bread puns encouraged but not required

#LI-REMOTE

The 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), equity, and benefits.

Pay Range

$92,000$147,000 USD


We are Toasters

Diversity, Equity, and Inclusion is Baked into our Recipe for Success.

At Toast our employees are our secret ingredient. When they are powered to succeed, Toast succeeds.

The restaurant industry is one of the most diverse industries. We embrace and are excited by this diversity, believing that only through authenticity, inclusivity, high standards of respect and trust, and leading with humility will we be able to achieve our goals.

Baking inclusive principles into our company and diversity into our design provides equitable opportunities for all and enhances our ability to be first in class in all aspects of our industry.

Bready* to make a change? Apply today!

Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact [email protected].

Toast San Francisco, California, USA Office

​​Our first west coast office, opened in 2022, is just a few blocks from the water and the Bay Bridge. Surrounded by restaurants, shopping, and tech companies alike, San Francisco is the place to be!

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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