- Страна
- США
- Зарплата
- 70 000 $ – 80 000 $
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Revenue Management Analyst
Инновационная компания с четким видением будущего и конкурентной заработной платой. Предложение включает опционы на акции и работу в высокотехнологичном секторе, хотя требование работы в офисе может подойти не всем.
Сложность вакансии
Роль требует сочетания сильных технических навыков (SQL, Python/R, BI-инструменты) и глубокого понимания бизнес-процессов управления доходами. Необходимость работать в офисе 4 дня в неделю и опыт работы в специфических отраслях (авиалинии, отели) повышают порог входа.
Анализ зарплаты
Предлагаемая зарплата в $70,000 - $80,000 находится на нижней границе рыночного диапазона для аналитиков в Нью-Йорке, однако это компенсируется расширенным пакетом льгот и опционами. В крупных технологических компаниях региона медиана для аналогичного опыта обычно выше.
Сопроводительное письмо
I am writing to express my strong interest in the Revenue Management Analyst position at Metropolis. With over two years of experience in quantitative analysis and a background in data-driven decision-making within the travel and hospitality sectors, I am eager to apply my skills in SQL, Excel, and data modeling to help Metropolis maximize revenue across its innovative technology-enabled assets.
In my previous roles, I have successfully developed yield and pricing strategies by analyzing historical demand and competitive environments. I am particularly drawn to Metropolis' vision of the Recognition Economy and the challenge of translating complex data sets into actionable strategic narratives for external partners. My proficiency in Python and Tableau, combined with a deep interest in economic game theory, aligns perfectly with your requirements for building advanced analytics solutions.
I am excited about the opportunity to collaborate in person at your New York office and contribute to the growth of your intelligence layer. Thank you for considering my application. I look forward to the possibility of discussing how my analytical expertise can drive significant bottom-line contributions for Metropolis.
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Откликнитесь в metropolis уже сейчас
Присоединяйтесь к команде Metropolis и создавайте будущее экономики распознавания, используя свои аналитические навыки для оптимизации доходов!
Описание вакансии
Who we are
The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators, and problem solvers to help us create it.
Who you are
As a Revenue Management Analyst, you will be responsible for maximizing revenues for Metropolis technology-enabled commercial assets. The candidate will be integral in helping shape the direction, analysis, and processes of the Revenue Management department. We are looking for team members who are analytical, creative, and innovative, but most importantly, can use data to drive decisions. The successful candidate will be expected to develop an in-depth understanding of the marketplace and develop yield and pricing strategies to increase revenues and drive a competitive advantage for Metropolis.
What you'll do
- Maximize revenues by developing and implementing strategies through quantitative analysis of historical parking demand, competitive environment, and consumer buying behavior
- Design and deliver high-impact client presentations that translate complex data sets into actionable insights and clear strategic narratives for external partners
- Develop a working relationship with SMEs in the field to understand the nuances of each market
- Determine optimal pricing and create new pricing products to capitalize on changes in consumer buying habits
- Build a knowledge of the digital ecosystem (distribution channels) and understand the impact of pricing actions within the ecosystem on demand
- Create and capture data-driven revenue opportunities through advanced analytics
- Proactively evaluate the effectiveness of the implemented strategies and regularly report performance trends to clients and internal leadership
What we're looking for
- BS/BA or advanced degree with experience in a quantitative discipline (economics, finance, accounting, statistics, data science, etc.)
- 2+ years of related experience at an airline, hotel, rail, shipping, cruise, or rental car company
- Intermediate to Advanced proficiency in Google Sheets and/or Microsoft Excel
- Ability to query data (i.e. SQL) and deliver strong business insights
- Demonstrated analytical skills, including the ability to assemble information, extract pertinent facts, draw logical conclusions, and present recommendations
- Exceptional communication skills, with a proven ability to synthesize technical findings into compelling presentations for non-technical audiences
- Leverage understanding of business processes to identify and implement solutions that will result in significant bottom-line contributions
- Interest in optimization problem-solving, economic game theory, and consumer buying behavior
- Good interpersonal skills and ability to interact with the working team and external stakeholders
- Experience in data modeling through the use of statistical/machine learning toolkits (SAS, R, Python, etc.) and/or BI tools like Tableau
4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection
When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $70,000.00 USD to $80,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-DL1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
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Навыки
- Microsoft Excel
- Tableau
- Google Sheets
- Python
- SQL
- Statistics
- Business Intelligence
- Data Modeling
- Economics
- SAS
- R
- Data Science
Возможные вопросы на собеседовании
Проверка опыта работы с динамическим ценообразованием и понимания рыночных факторов.
Опишите ваш опыт разработки стратегии ценообразования: какие переменные вы учитывали и как оценивали успех?
Оценка технических навыков владения SQL для анализа данных.
Приведите пример сложного SQL-запроса, который вы использовали для извлечения инсайтов из больших наборов данных.
Проверка способности объяснять сложные данные простым языком для клиентов.
Как вы подходите к подготовке презентаций для нетехнических стейкхолдеров, чтобы убедить их в эффективности вашей стратегии?
Оценка аналитического мышления в условиях изменения потребительского поведения.
Как бы вы изменили модель ценообразования на парковку, если бы заметили резкий сдвиг спроса в сторону краткосрочного пребывания?
Проверка навыков работы с инструментами визуализации и моделирования.
Какие инструменты (Tableau, Python, R) вы предпочитаете для моделирования данных и почему они эффективны для задач Revenue Management?
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- Страна
- США
- Зарплата
- 70 000 $ – 80 000 $