Deputy Manager

Potential candidates should have knowledge in general math modeling, Statistical Modelling (ML) and simulation techniques. Candidates should have hands-on experience in developing quantitative models. They should possess the ability to translate a business problem into an analytical problem, recommend, implement and validate quantitative models, and generate/deliver insights to stakeholders. Preference would be given to candidates that are intellectually curious, innovative thinkers, and have demonstrated ability to solve problems independentl

Bachelor s degree in a quantitative field such as Statistics, Biostatistics, Mathematics, Computer Science, Econometrics, Physics, Engineering, Data Science

• Collaborate with cross-functional teams to understand the business, customer personas and customer pain points, and develop a strong understanding of Ford Credit business to provide the right analytical solutions.


• Responsible for collecting and analyzing data to provide valuable insights to product teams.


• Responsible for data analysis, data mapping, data extraction, data preparation, data cleansing, data querying, and data visualization.


• Generate reports and analyses and present findings to aid decision-making.


• Aggregate large data sets in Tableau, PowerBI, Excel, Qliksense, GCP Looker, GCP BigQuery or other analytical tools for analysis.


• Contribute to data collection discussions, identifying critical information and data sources.


• Create, validate, deploy, and monitor performance of statistical models based on large datasets.


• Create and maintain dashboards, automated reports, report templates & presentations using data visualization tools such as Tableau or Power BI. Responsible for producing reports on daily/weekly/monthly reporting on business trends and the status of digital experience.


• Leverage a wide range of statistical techniques and tools.


• Ensure overall quality of the data and solutions throughout the analytical development process.


• Create business-critical data visualizations and compelling stories and presentations from data.


• Designing, developing, deploying and maintaining business intelligence and analytics solutions that turn data into knowledge