Build business intelligence models, analyses, dashboards, reports, and automation tools to support decision-making and improve company performance. Maintain accurate business metrics, develop data models using SQL Server and SSAS, and create documentation, training materials, and data best practices. Collaborate with teams to deliver reliable, well-structured solutions on schedule.

Develop and apply algorithms and statistical models to mine and analyze large datasets. Responsibilities include data cleansing, validation, error analysis, exploratory data analysis, and improving model accuracy. The role requires programming experience, mathematics and statistics knowledge, machine learning and AI expertise, and the ability to collaborate, communicate findings, and deliver clean code and projects independently.