New York City Economic Development Corporation (NYCEDC) is working with the Office of Mayor de Blasio to launch the NYC Ferry. The Hornblower Company has been selected as the operator of the NYC Ferry. The service will consist of five new ferry routes in addition to the existing East River Ferry Service (transitioning into NYC Ferry), all charging a fare of $2.75 and allowing transfers between routes.
For 35 years, Hornblower’s yachts and ferries have sailed past famed landmarks throughout North America. Hornblower is the parent company of Hornblower Cruises & Events – serving cities throughout California and New York, offering a unique blend of the finest dining, dancing and entertainment found on the water.
Hornblower currently has several operations in New York City, employing over 450 crew members from the New York area on 18 unique vessels.
This person will be adaptable, dynamic, and embody City Experiences’ RESPECT Service System.
About The Opportunity
The Transportation Scheduling and Data Analyst plays a crucial role in managing and optimizing transportation processes, as well as contributing to data-driven decision-making within Hornblower’s Ferry and Transportation Division. This consists of designing processes to collect accurate -related data, which includes data on routes, vehicle performance, fuel consumption, maintenance, compliance, and other relevant elements. This role ensures that the data is accurate, up-to-date, and consistent, allowing the organization to make informed decisions and optimize transportation operations. You will collaborate with various departments to understand their data needs, create interactive dashboards, and provide insights that contribute to business objectives.
Essential Duties & Responsibilities
Requirements & Qualifications
Proficiency in various data analysis tools and software is essential. These may include:
Programming Languages: Python, R, or SQL for data manipulation and analysis.
Data Visualization Tools: Tableau, or Power BI for creating data visualizations.
Statistical Software: Such as SAS, SPSS, or Stata for statistical analysis.
Data Query Languages: Like SQL for database querying.
Data Cleaning and Transformation: Ability to clean and preprocess raw data for analysis, handling missing data, and transforming it into a usable format.
Statistical Analysis: Understanding of statistical methods and techniques, including hypothesis testing, regression analysis, and predictive modeling.
Data Visualization: Proficiency in creating clear and insightful data visualizations to communicate findings effectively via Tableau.
Database Management: Knowledge of database systems and the ability to work with data stored in databases.
Familiarity with machine learning algorithms and tools, especially for roles that involve predictive analytics.
Proficiency in Microsoft Excel for basic data analysis and reporting.
Proven experience in data analysis and problem solving.
Strong leadership skills.
Excellent communication and problem-solving abilities.
Knowledge of inventory management software and systems.
Strong organizational and problem-solving skills.
Attention to detail and accuracy.
Excellent interpersonal skills.
Familiarity with safety and compliance regulations.