Assistant Delivery Manager - Data Analytics


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.

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Job Location: Chennai, India


  • 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:

  • Required skillsets

    • 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

  • Desired skillsets

    • Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.

    • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, etc.


  • An attractive package will be crafted for the right candidate

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