Begin your leadership journey with Access Healthcare as a Assistant Delivery Manager for Data Analytics. We are always interested in talking to inspired, talented, and motivated people. Many opportunities are available to join our vibrant culture.
Grow your career with access healthcare!
Job Location: Chennai, India
Roles & RESPONSIBILITIES
To work on building the Tableau based Analytics Platform Solution for the customers
To make presales presentation to the Clients on Analytics Platform
To manage the team of developers to build the solution
To come up with innovate ideas to improve the solution and increase the reach of the platform to a larger customer base
Mine and analyze data from company and customer databases and leverage the data
Gather customer requirements and build custom Analytics based reporting and analytics solutions
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, and other business outcomes.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Qualifications for Data Scientist:
Strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations
Experience in visualizing/presenting data using Tableau dashboards with embedded analytics
Excellent written and verbal communication skills for coordinating across teams.
Able to understand various data structures and common methods in data transformation
SAS, ETL, data processing, database programming and data analytics
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Experience using advanced statistical analysis tools (SPSS, Rapidminer) with large and complex datasets
Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures
Practical experience with SAS, ETL, data processing, database programming and data analytics
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, etc.
An attractive package will be crafted for the right candidate