Data Analyst, Go-To-Market Sales Insights
Навыки
- Airflow
- Внимание к деталям
- B2B-продажи
- Коммуникация
- Дашборды и витрины
- Анализ данных
- dbt
Ещё 8
- DWH
- Лидерство
- Маркетинговая стратегия
- Ответственность за результат
- Python
- SQL
- Статистика
- Tableau
Задачи
- Build the tools and analytics sales leaders use to grow their accounts — pacing views, account-health signals, territory and segment views that change what a rep or manager does next
- Field requests from Sales, Product, Finance, Legal, leadership, and external stakeholders, and decide what's worth building, what's worth a sharp piece of analysis, and what's out of scope
- Build and maintain production data pipelines, and automate recurring workflows, with documentation and validation clear enough that a teammate — or an AI agent — can use them without asking you first
- Define what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same question
- Contribute to the internal tools and semantic layer — prompts, context, and guardrails — that let stakeholders query B2B data in natural language and trust what comes back
- Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences
- Experience
- Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields
- you own the correctness of every query and result before it reaches stakeholders
- Experience building production data assets — pipelines, data models, or orchestrated tables (Airflow, dbt, or similar) — not only ad-hoc analysis
- Proficiency in a data visualization tool like Tableau, Hex, Mode, or similar
- Experience with sales or account analytics — pipeline, bookings, pacing to target, account segmentation — is a strong plus
- Experience with Python for data analysis and automation is a strong plus
- A track record of influencing business decisions through analysis, and an ownership mindset toward the metrics and datasets you build
- A strong attention to detail and a commitment to data accuracy and integrity
- Ability to collaborate across functions, manage competing priorities, and drive projects to completion
- At Lyft, our purpose is to serve and connect
- We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive
- Data is at the heart of Lyft Business's products and decision-making
- You will be the analytical partner to our Sales and account teams — someone who can translate findings into a clear narrative for both technical and non-technical audiences
Требования
- 3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales, go-to-market, or B2B organization
- Proficiency in SQL — able to read, write, and review structured, efficient queries on large data sets, whether you wrote them yourself or an AI coding assistant did
- Commercial instinct paired with a builder's instinct — a track record of turning a recurring request into a durable tool or dataset instead of answering it one more time
- Strong analytical skills with the ability to tackle ambiguous problems, break them down, and deliver clear, actionable insights
- Excellent communication skills, with the ability to present complex data to a variety of stakeholders clearly and compellingly
Условия
- Great medical, dental, and vision insurance options with additional programs available when enrolled
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan with company match to help save for your future
- In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Subsidized commuter benefits
- Monthly Lyft credits and complimentary Lyft Pink membership
- Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging
- All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law
- We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law
- Lyft highly values having employees working in-office to foster a collaborative work environment and company culture
- This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays
- Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
- Your recruiter can share more information about the various in-office perks Lyft offers
- Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
- The expected base pay range for this position in the New York City area is $98,000 - $122,500, not inclusive of potential equity offering, bonus or benefits
- Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location
- Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process
- We're looking to hire a Data Analyst to build the tools and analytics that drive revenue for the sales organization behind Lyft's B2B portfolio — a multi-billion-dollar book of business spanning healthcare, business travel, corporate commute, automotive, and transit
- This team has real say in what gets built
Паспорт вакансии
История публикации
Появилась в Вакандии29 дней
Перепубликации1 разпубликаций всего: 2
Проверяли на источникеВидели 29 дней назад
Среди похожихНет данных144 из 30 · у похожих вакансий почти одинаковый возраст — сравнивать нечего
Откуда что взялось
Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.
ГрейдMiddleвыведено из другого признака
Формат работыГибридвычитано из текста вакансии
ГеографияСан-Франциско, СШАвычитано из текста вакансии
Зарплата98 000 USD — 122 500 USD в годвычитано из текста вакансии
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа100вилку назвал источник
Проверка Вакандии
Источники и свежесть
- Тип источника
- Карьерный сайт работодателя
- Найдено публикаций
- 2
Посмотреть публикации и даты
- greenhouseОсновная публикация · 2026-08-12
- greenhouseПовторная публикация · 2026-08-12
Безопасность
Отклик уходит на сайт источника
Вакандия показывает вакансию, но не отправляет отклик и не проверяет работодателя. Сам отклик вы оставляете на внешнем сайте — app.careerpuck.com.
Признаки мошенничества
- Просят предоплату, «залог» или деньги за обучение и оборудование.
- Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
- Быстро уводят в мессенджер и торопят с решением.
- Обещают большой доход без опыта и без деталей задач.
Настоящий работодатель не просит денег и платёжных данных до трудоустройства.
Продолжить поиск
Похожие вакансии
Причина сходства указана на каждой карточке
Подробнее - Подробнее
Почему похожа: похожая специализация · тот же грейд
Business Analyst- Digital Transformation
- Middle
- Гонконг
- Подробнее
Почему похожа: похожая специализация · тот же грейд
системного аналитика — работа System Analyst
- Middle