The Parking Planning and Policy Unit seeks a data-oriented professional with ArcGIS familiarity to support curb management in NYC. The candidate will manage datasets, perform data analysis, and improve data-related processes, including research, data mining, database maintenance, and contributing to ongoing efforts. Duties include updating GIS datasets, performing operational and financial analyses, facilitating cross-division data processes, and building divisional tools. The candidate will cultivate professional development and effectively communicate with stakeholders.
Create production data pipelines for our advanced analytics and data science teams, as well as collaborate with other technical personnel on internal & external data sources and infrastructure needs. Assist in design, evaluate, and test data infrastructures and be a subject matter expert for all things data across the organization. Responsible for solving our most challenging data integration problems.
This position will be responsible for day-to-day work tasks for revenue cycle data analytics projects and utilize technical and interpersonal skills to assist internal and external clients. Using Kodiak’s technology and data, you will provide high-quality analysis and process improvement solutions that enhance our client's revenue cycle. You will have the opportunity to work closely with all levels of client management and play a significant role in ensuring accurate and insightful data quality in our engagements.
Join the Technical Product Analytics team to build and maintain the data foundation that enables analysts, product managers, engineers, and growth teams to measure user behavior. The ideal candidate should have a passion for data mining, the ability to deliver complex data models, solve data problems, possess a strong technical background, and have expertise in data visualization tools like PowerBI.
As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations.
Leverage advanced data analytics to derive insights and optimize credit strategies. Partner with Engineering on building effective risk model and credit risk capabilities. Monitor portfolio as well as macroeconomic trends impacting loan performance. Drive adjustments to underwriting and marketing strategies to mitigate risk. May telecommute. Supervises direct reports.
Oak View Group is seeking a Sr. Data Analyst to provide data-driven insights and analyses, supporting growth and leadership in the sports, live entertainment, hospitality, and venue management industries. This role involves leveraging analytical methods to support decision-making and strategic initiatives across a portfolio of Canadian venues, enhancing customer experiences and optimizing operational performance worldwide.