- Страна
- США
- Зарплата
- 138 000 $ – 189 000 $
Откликайтесь
на вакансии с ИИ

GTM Analytics Engineer
Gusto — известная компания с отличной репутацией и прозрачной системой вознаграждения. Позиция предлагает работу с современным стеком технологий, высокую степень автономности и конкурентную заработную плату с учетом опционов.
Сложность вакансии
Роль требует солидного опыта (7+ лет) и глубокого владения современным стеком (dbt, Airflow, SQL, Python). Высокая планка ответственности за архитектуру данных GTM-направления и кросс-функциональное взаимодействие повышают сложность позиции.
Анализ зарплаты
Предлагаемая зарплата ($138k - $189k в зависимости от локации) полностью соответствует рыночным стандартам для Senior/Lead Analytics Engineer в США, особенно в технологических хабах вроде Сан-Франциско и Нью-Йорка.
Сопроводительное письмо
I am writing to express my interest in the GTM Analytics Engineer position at Gusto. With over 7 years of experience in analytics engineering and a strong background in building robust data pipelines, I am impressed by Gusto’s mission to support small businesses and the Revenue Operations team's full-stack approach to scaling growth.
In my previous roles, I have specialized in transforming raw data into actionable insights using dbt, Snowflake, and Airflow, which aligns perfectly with your requirements for maintaining foundational data infrastructure. I am particularly excited about the opportunity to establish best practices for systems design to maximize the usefulness of AI at scale, ensuring that the GTM teams have the most reliable and sophisticated data products at their disposal.
I am confident that my technical expertise in SQL and Python, combined with my experience in collaborating with cross-functional teams like Data Science and Product, will allow me to make an immediate impact at Gusto. I look forward to the possibility of discussing how my skills can contribute to the continued success of your Revenue Operations.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в gusto уже сейчас
Присоединяйтесь к Gusto, чтобы строить будущее аналитики для малого бизнеса и масштабировать GTM-стратегии с помощью передовых данных!
Описание вакансии
About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy.
About the Role
The Revenue Operations team at Gusto is a full-stack team responsible for data, analytics, and operational excellence in pursuit of scaling our revenue growth. The Go-To-Market Analytics team is one functional area, responsible for defining and owning the metrics for scaling our Sales teams.
Gusto is looking for a Revenue Analytics Engineer to build and maintain foundational data infrastructure that is crucial to growing and scaling our Sales efforts. In this role, you will partner with our GTM analysts to scope and deliver data products for an audience ranging from company and revenue leadership to operational and frontline sales. In doing so, you will own significant portions of our sales data from end-to-end, focusing on the transformation, design, and visualization workflows. In addition, you will establish best practices for systems design and workflows to maximize usefulness of AI at scale.
This role will report to the Head of Go-To-Market analytics, and partner closely with Data Science, Data Platform, and Business Technology teams.
Here’s what you’ll do day-to-day:
- Establish relationships with internal stakeholders to determine business needs, scoping and delivering solutions through data products
- Design, build, and maintain data pipelines and dashboards to automate “keep the lights on” work out of manually-managed processes
- Build a data foundation by incorporating business logic into raw data tables, laying the groundwork to enable value-add insights
- Create a dynamic reporting environment based on stakeholder needs
- Identify data discrepancies and set best practices for data logic to create a clean and well-documented environment
- Collaborate with broader data organization as steward to the definition and process management of core Gusto metrics
Here’s what we're looking for:
- Education or work experience in Engineering or Computer Science, or a related technical field
- 7+ years of experience in an analytics engineering, business intelligence, or technical data analytics role
- Experience with SQL and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, Snowflake, etc.
- Command-line experience and familiarity with version control collaboration tools (git)
- Experience with data pipeline management technologies with dependency checking, such as Airflow, as well as schema design and data modeling tools (dbt)
- Experience with data visualization technologies, e.g., Tableau, Looker, Sigma, Mode, Hex
- Experience with Python and data ingestion tools
- Ability to problem-solve open-ended problems and project manage dependencies and timelines to optimal outcomes
- Ability to demonstrate tools, business intuition, and attention to detail for data validation and QA
Our cash compensation amount for this role is targeted at $138,000-156,000 in Denver & most remote locations, and $168,000-189,000 in New York & San Francisco Bay Area. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.
Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.
When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.
Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- SQL
- ETL
- Redshift
- Snowflake
- Git
- Airflow
- dbt
- Tableau
- Looker
- Sigma
- Mode
- Hex
- Python
- Data Modeling
- QA
Возможные вопросы на собеседовании
Проверка опыта работы с основным инструментом трансформации данных, указанным в вакансии.
Расскажите о наиболее сложном проекте по моделированию данных, который вы реализовали с использованием dbt. Как вы структурировали проект для обеспечения масштабируемости?
Вакансия подразумевает работу с GTM-метриками и бизнес-логикой.
Как вы подходите к разрешению противоречий в определениях бизнес-метрик между разными отделами (например, Sales и Finance)?
Упоминается необходимость оптимизации ETL в облачных хранилищах.
Какие стратегии оптимизации производительности и стоимости запросов вы применяли в Snowflake или Redshift при работе с большими объемами данных?
В описании указано создание среды для использования AI.
Как, по вашему мнению, архитектура данных должна адаптироваться для эффективного внедрения AI-инструментов в аналитические рабочие процессы?
Оценка навыков автоматизации и работы с оркестраторами.
Опишите ваш опыт настройки зависимостей и обработки ошибок в сложных пайплайнах с использованием Airflow.
Похожие вакансии
Pricing and Planning Manager
Business Intelligence (BI) Developer
Business Intelligence (BI) Developer, Manufacturing
Production Controller
Consultant - Healthcare Supply Chain
Business Data Analyst
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- США
- Зарплата
- 138 000 $ – 189 000 $