Lyft1 день назад
Data Analyst, Go-To-Market Sales Insights
8 167–10 208 ₽в месяц · до вычета
РЫНОК
29 900 ₽медиана по профессии
Data Analyst · 5 вакансий с указанной зарплатой
8 167половина предложений: 8 167–81 000138 000
В рынке · выше 40% предложений
New York
Обязанности
- 01Build 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
- 02Field 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
- 03Build 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
- 04Define 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
- 05Contribute 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
- 06Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences
Требования
- 01Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields
- 023+ years of experience in a data analytics or business intelligence role, ideally supporting a sales, go-to-market, or B2B organization
- 03Proficiency in SQL — able to read, write, and review structured, efficient queries on large data sets
- 04Experience building production data assets — pipelines, data models, or orchestrated tables (Airflow, dbt, or similar) — not only ad-hoc analysis
- 05Proficiency in a data visualization tool like Tableau, Hex, Mode, or similar
- 06Experience with sales or account analytics — pipeline, bookings, pacing to target, account segmentation — is a strong plus
- 07Experience with Python for data analysis and automation is a strong plus
- 08Commercial instinct paired with a builder's instinct — a track record of turning a recurring request into a durable tool or dataset
- 09A track record of influencing business decisions through analysis, and an ownership mindset toward the metrics and datasets you build
- 10Strong analytical skills with the ability to tackle ambiguous problems, break them down, and deliver clear, actionable insights
- 11Excellent communication skills, with the ability to present complex data to a variety of stakeholders clearly and compellingly
- 12A strong attention to detail and a commitment to data accuracy and integrity
- 13Ability to collaborate across functions, manage competing priorities, and drive projects to completion
Условия
- 01Great medical, dental, and vision insurance options with additional programs available when enrolled
- 02Mental health benefits
- 03Family building benefits
- 04Child care and pet benefits
- 05401(k) plan with company match to help save for your future
- 06In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
- 0718 weeks of paid parental leave
- 08Biological, adoptive, and foster parents are all eligible
- 09Subsidized commuter benefits
- 10Monthly Lyft credits and complimentary Lyft Pink membership
- 11Hybrid work schedule — expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays
- 12Flexibility to work from anywhere for up to 4 weeks per year