Manager, Yield Foundation

What you'll do...

Position: Manager, Yield Foundation

Job Location: 221 River Street, Hoboken, NJ 07030

Duties: Translate and co-own business problems within one’s discipline to data related or mathematical solutions. Identify appropriate methods/tools to be leveraged to provide a solution. Share use cases and give examples to demonstrate how the method would solve the business problem. Provide recommendations to business stakeholders to solve complex business issues. Develop business cases for projects with a projected return on investment or cost savings. Translate business requirements into projects, activities, and tasks and align to overall business strategy and develop domain specific artifact. Serve as an interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend relevant business insights. Support the understanding of the priority order of requirements and service level agreements. Identify the most suitable source for data that is fit for purpose. Perform initial data quality checks on extracted data. Generate appropriate graphical representations of data and model outcomes. Understand customer requirements to design appropriate data representation for multiple data sets. Work with User Experience designers and User Interface engineers to build front end applications. Present to and influence the team and business audience using the appropriate data visualization frameworks and convey clear messages through business and stakeholder understanding. Customize communication style based on stakeholder under guidance and leverage rational arguments. Guide and mentor junior associates on story types, structures, and techniques based on context. Educate others on data quality awareness. Profile, analyze, and assess data quality. Test and validate data quality requirements. Continuously measure and monitor data quality. Deliver against data quality service level agreements. Manage operational Data Quality Management procedures. Manage data quality issues and lead data cleansing activities to remove data quality defects, improve data quality, and eliminate unused data. Determine user accessibility and removes or restricts user access as needed. Interpret company and regulatory policies on data. Educate others on data governance processes, practices, policies, and guidelines. Collect and tabulate data and evaluate results to determine accuracy, validity, and applicability. Support the identification and application of statistical techniques based on requirements. Apply suitable technique under direction from leadership. Assist in the planning, design, and implementation of an exploratory data analysis research projects. Understand existing statistical models and identify and recommend statistical models based on hypothesis. Write queries and analyze data to identify patterns, trends, outliers, and correlations. Conduct statistical analysis and build basic statistical models using relevant packages/software suites. Understand, articulate, and apply principles of the defined strategy to routine business problems that involve a single function. Build, maintain and enhance effective internal and external partnerships through demonstrated integrity; clearly draft valuable information and seek input in return. Influence outcomes and assist in communicating shared goals with diverse groups by linking their interests to that of the business. Identify and address additional partner needs and educate them on value creation. Utilize online tools to assess the impacts of online advertisements and run ad hoc report for management. Utilize programmatic ads, search engine ads, and other types of ads to promote marketing initiatives. Consult on the appropriate use of cookies to track users' browser history and to evaluate the effectiveness of online campaign initiative. Demonstrate knowledge of how advertisers run campaigns. Analyze potential risks from any illegal advertising programs to protect the social media platform. This position does not supervise employees.

Minimum education and experience required: Master’s degree or the equivalent in Data Science, Machine Learning, Computer Science, Mathematics, Operations Research, Economics, Statistics, Marketing Analytics, Information Systems, or related area; OR Bachelor's degree o