This role will focus on supporting regional management using standard systems to conduct routine and ad hoc analysis utilizing advanced data analysis techniques
*requirements*:
- 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 reporting to support management needs for information related to service line utilization, cost, and profitability, and business statistics for volumes.
- understand and define potential benchmarks and kpis, as well as potential visualizations.
- understand data lake structure, metadata, and data management process flow.
*requirements*:
- degree in statistics, mathematics, computer science, and/or economics or another quantitative field.
- technical competencies required but not limited to statistics, machine learning, databases, excel, powerpoint, and programming languages such as python, sql.
- 3+ years of experience manipulating data sets and building statistical models
- knowledge and experience in statistical and data mining techniques
- 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, domo.
- experience analyzing data from 3rd party providers: google analytics, site catalyst, coremetrics, adwords, facebook insights, crimson hexagon preferred, but not required
*benefits*
- law benefits
- health insurance
- life insurance
- groceries voucher
- savings fund
- paid time off