UXO Device Analytics

6 months ago

Sahibzada Ajit Singh Nagar, India OU435 Tietoevry Tech Services India Private Ltd. Mohali Full time

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​ UXO Device Analytics (Aternity\Dynatrace) :: Service Lead

8-12 Years of experience with Aternity\Dynatrace\Splunk or similar performance monitoring tools. Critical customer facing role involving explaining parameters derived within the tool which contribute to User Experience. Engaging with customer teams\customers presenting data results and follow up meetings. Should be proactive in setting up customer unit meetings to provide updates. Data Analysis and Exploration - Includes using statistical methods to test hypotheses, identify trends, and make predictions. Troubleshoot infrastructure, application issues and work with the development team and SMEs to resolve issues faster. Create, track, drive problem and defects task to closure. Identify possible points of failure in the infrastructure/applications and improve/resolve the identified vulnerability. Creating Dashboards and Reports - Data analysts need to be able to create dashboards and reports that communicate insights to stakeholders. Critical Thinking - Should have ability to approach problems logically and make informed decisions based on the data. Further communicating with technical teams to curb issues. Communication (Fluency in English) - Clearly conveying findings in both, written and orally, to non-technical stakeholders. This includes creating reports and presentations that gives insights from the data. Teamwork - Collaborating with other teams, understanding their needs, and providing them with relevant data insights. Creating proactive problem tickets and follow up to make sure they are solved by operation teams and ensuring closure. Preparing Weekly\Monthly reports for the management stating trends, patterns, and predictions using relevant data. Preparing & planning final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends. Identifying opportunities for automation and process improvement based on Workspace Analytics data analysis. Monitor overall customer user experience status per customer environment. Coming up with solutions to business problems using data-driven approaches. Regularly monitor system performance metrics and provide regular reports to customer units. Filter Data by reviewing performance indicators to identify probable issues in customer environment. Using statistical filters to identify, analyze, and interpret patterns and trends in complex data sets help in diagnosis. Performing analysis to assess the quality of various indicators which contribute towards User Experience Index Score. Internal reporting team meetings presenting data results. Stay up-to-date with industry trends, best practices, and emerging technologies related to data analytics.

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