Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$80к-95к/год
$65к$85кмедиана$100к
По похожим ролям (47) ~ $85к/год
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Хорошая вакансия
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Роль хорошо очерчена для начинающего аналитика данных и дает практический опыт работы с production-решениями и транспортным планированием; консалтинговые проекты могут быть разнообразными, но менее последовательными, чем работа над одним продуктом.
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Актуальные инструментыПонятные задачиСпециализация на транспорте
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Transportation Analyst (Data Analytics): Developing scalable data processing, analysis, database, and visualization solutions for transportation models, asset management, operations, and transit planning with an accent on Python, SQL, data warehousing, and cloud-based production code. Focus on designing repeatable data engineering methods, building actionable insights from messy data, and collaborating with transportation and technical experts.
Location: United States
Salary: $80k–95k per year
Company
hirify.global provides transportation policy, planning, analytics, modeling, engineering, and technology solutions to improve infrastructure and transportation operations.
What you will do
Analyze technical and business requirements and identify opportunities to address client needs through data analysis and data engineering solutions.
Design and implement database solutions, data models, data warehousing methods, and scalable data processing approaches.
Develop production-ready code for cloud applications and build repeatable analysis and visualization solutions.
Support travel demand modeling, asset management, operations and performance monitoring, transit planning, location-based services analytics, and related transportation disciplines.
Document solutions clearly and deliver thorough, high-quality work.
Collaborate with subject matter and technical experts and contribute to business development and project management activities when needed.
Requirements
Bachelor’s degree in Transportation Engineering, Computer Science, Data Analytics, Applied Statistics, Data Science, or a related field.
0–4 years of applicable experience.
Intermediate Python programming capabilities.
Proficiency in SQL and database technologies, including data modeling and data warehousing principles.
Experience with data visualization software such as Tableau or Power BI.
Ability to collaborate effectively using Git or GitHub.
Excellent oral and written communication skills.
Ability to adapt to new project contexts and learn new tools and technologies quickly.
Nice to have
Master’s degree in Transportation Engineering, Computer Science, Data Analytics, Applied Statistics, Data Science, or a related field.
Experience managing analytics in an enterprise environment.
Experience developing production-ready code and applying it in the cloud.
Experience with cloud-based analytics platforms such as Databricks, Snowflake, BigQuery, or Fabric.
Ability to build scalable data pipelines with Airflow, Dagster, or dbt.
Working knowledge of continuous integration and continuous delivery systems.
Front-end development experience using JavaScript frameworks.
Culture & Benefits
Inclusive culture where every voice is valued and employees are encouraged to contribute their perspectives and life experiences.
Equal opportunity employer committed to belonging, connection, and enabling employees to do their best work.
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