• Focus on designing/creating plans and ensure whether the quality requirements adhere to the organization’s policies.• Responsible for implementing a plan with errors being fixed.• Responsible to ensure whether the plan is apt considering its performance, reliability, functionality, and compatibility• Knowledge of quality assurance testing tools & various extensions• collecting all the essential statistics required and identify the root cause analysis method to identify the problems during a project.• Reduction in employee attrition rates.• Provide knowledge/ Knowledge transfer to new joiners.• Develops a good rapport between the management and the employees.• Handling various resources at the workplace.• Providing efficient solutions for various types of issues.

•Supervise, plan, and coordinate, and conduct research and program evaluation activities for the company.•Work together with the evaluators on data collection and quantitative and qualitative analysis duties.•Coordinate, develop, and initiate, and respond to information and data requests received from within the organization to allow for evidence-based and data-informed policy.•Come up with policy and action suggestions based on research and analytics.•Carry out business analysis, data modelling, and logical and physical database design, and database optimization for the company.•Utilize standard reporting technologies to create, manage, and maintain reportsResponsible for preserving and managing a centralized data dictionary for the company.•Ensure company data architectural guidelines, principles, and standards are followed in all project milestones and deliverables•Responsible for creating appropriate documentation to support effective requirements definition, including charts, graphs, and logic model diagrams as needed.•Ensure the quality of data with diffrent tactics and filters.•Responsible for assessing research requirements and utilizing improved tactics for appropriate statistical programming and analysis.

•Lead data mining and collection procedures Through Various Sources.•Ensure data quality and integrity.•Interpret and analyze data problems.•Conceive, plan and prioritize data projects.•Build analytic systems and predictive models.•Test performance of data-driven products.•Visualize data and create reports.•Experiment with new models and techniques.•Align data projects with organizational goals.

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