Key Skills:
- 3-7 years of hands-on experience in Advanced analytics , dashboard creation, statistical modelling, Machine Learning (ML),
- Hands-on skills in data collections, interpretation and analysis of data, data visualization, creating reports and generating insights
- Implementing statistical and data mining techniques e.g. hypothesis testing, machine learning, and retrieval processes on a large amount of data to identify trends, patterns and other relevant information
- Hands-on experience on advanced analytics concepts and algorithms (e.g. ,Regression analysis Logistic Regression/Decision Tree, Clustering, Random Forest, Time series analysis etc.)
- Bachelors or masters in quantitative disciplines like Statistics, Engineering, Mathematics, Analytics or Data Science
- Quantitative orientation with focus on delivering business value through analytics
- Good documentation and communication skills. Should be able to effectively communicate with client stakeholders and actively drive consumption of analytics
- High problem-solving skills , High motivation, good work ethic and maturity
Mandatory Skills:
- Dashboard tools - Tableau/ Power BI / Cognos
- Statistical modelling tool - R/ Python/ SPSS/ SAS
- Database Technologies - SQL Server/ MySQL/ Oracle/ PL-SQL
- BI best practices around Dashboards / KPIs / Reporting Architecture / Reporting tool architecture
Preferred knowledge:
- Good understanding of trends in specific healthcare markets, data sources and generally accepted measurement methodologies
- Specialization in one or more subject areas within a healthcare segment like clinical analytics, quality analytics, operational analytics or financial analytics
- Qualified Clinical Practitioner
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