Our audit and governance functions require a centralized data leader who can architect scalable, secure, compliant data pipelines and translate complex datasets into actionable insights for regulatory and operational decisions
Requirements
- Programming: Python, R, SQL
- Statistics & Mathematics
- Machine Learning & AI
- Data Visualization: Tools like Tableau, Power BI, or libraries like Matplotlib and Seaborn
- Big Data Tools: Spark, Hadoop (for large-scale data)
- Advanced SQL and Python for analytics, ETL, and automation
- Data modeling, warehousing, and pipeline orchestration (cloud-native stack)
Responsibilities
- Architect scalable, secure, compliant data pipelines
- Translate complex datasets into actionable insights for regulatory and operational decisions
- Build intuitive, low-maintenance tools that empower non-technical users across the PA experience
- Data Collection & Cleaning – gather data from various sources and clean it to ensure it’s usable
- Exploratory Data Analysis (EDA) – explore the data to understand patterns, trends, and relationships using statistical techniques and visualizations
- Model Building – build predictive models using machine learning algorithms to forecast outcomes or classify data
- Deployment & Monitoring – help deploy models into production systems and monitor their performance over time
Other
- Healthcare specific background would be helpful
- W2-Contract Only; Kindly note that applications on a C2C basis will not be considered for this role
- What is your current visa status? *
- Do you require h1b sponsorship? *
- How many years of relevant experience you have? *
