.This role will focus on supporting regional management using the company standard systems to conduct routine and ad hoc analysis, utilizing advanced data analysis techniques.**Requirements**:- Degree in Statistics, Mathematics, Computer Science, and Economics or another quantitative field.- Technical competencies required but not limited to statistics, machine learning, databases, Excel, PowerPoint, and programming languages such as Python and SQL.- Additional coding experience in JavaScript,.NET, or Java is recommended.- 3+ years of experience manipulating data sets and building statistical models.- Knowledge and experience in statistical and data mining techniques.- Experience querying databases and using statistical computer languages: Python, SQL.- Experience using: Azure SQL Server, Azure Storage, Azure Synapse Workspace.- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.- Experience presenting and using data visualization tools such as Tableau, PowerBI, MicroStrategy, Infogram, and DOMO.- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Facebook Insights, Crimson Hexagon preferred, but not required- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, preferred but not required.- Experience with healthcare information reporting systems is preferred but not required.- Advanced English is a must.**Responsibilities**- Work with internal and external team stakeholders to identify opportunities for leveraging internal and external data to drive business solutions.- Help create internal database architecture to facilitate data mining and analysis.- Develop data models and algorithms for data sets.- Use predictive analytics and modeling to optimize revenue and operational efficiencies.- Coordinate with different internal and external teams to implement models and monitor outcomes.- Develop processes and tools to monitor and analyze model performance and data accuracy.- Routine daily, weekly, bi-weekly, and monthly reporting to support management needs for information related to service line utilization, cost, and profitability, and business statistics for volumes.- Support the company development of financial/operational information systems development/deployment.- Coordinate with other company employees to ensure proper flow and usage of information.- Work with multiple departments and people to ensure understanding of and access to data.- Understand and define possible benchmarks and KPIs, as well as possible visualizations.- Create, transform, and manage data input processes and dashboard design.- Design and create a transformation process for data utilizing excel and python or another programming/statistical analysis software.- Understand data lake structure, metadata, and data management process flow
