More Than a Month
پیگیری قطعی
· Setting up Data & Insight practices and structuring D&I initiatives in call center to capture customer insight
· Maintain up-to-date knowledge of customer segmentation models and methodologies
· Use statistical analysis to draw conclusions from data and communicate findings to non-technical audiences
· Using automated tools (including the google set of tools and other data analyzing tools) to extract data from primary and secondary sources in order to generate customer insight
· Filter, monitor،analyze and interpret data trends on customer call & ticket activity performance also all customer related SLAs and KPIs to generate regular (daily, monthly, quarterly…) reports
· Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for customer behavior diagnosis and prediction
· Collaborate with cross-functional teams to ensure customer insights are integrated into decision-making
· Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends
· Manage multiple projects simultaneously while meeting deadlines
· Perform ad hoc analyses as needed
· Strong experience and knowledge of SQL essential
· Knowledge of data modeling in a customer behavioral insight context
· Strong communication skills – able to communicate complex analytical concepts in a clear and concise manner to stakeholders
· Commercially focused, and aware of how insight can be used to drive business value
· A passion for data analysis and problem solving with a proactive approach
· Quality, accuracy, and attention to detail
· The ability to work proactively and independently, effectively prioritize workload and thrive in a fast-paced environment
· Advanced data analysis in Microsoft Excel
· Experience and knowledge of programming languages like, Oracle, R, MATLAB, and Python
· Experience and knowledge of Data Visualization software (Power BI, Tableau, Google Data studio, Qlik
· Familiar with standard frameworks such as ITIL, TMF SID, eTOM and TAM
· Solid domain knowledge of BSS applications - which include portals, CRM, Billing, Order management with deep domain knowledge in CRM.
با رزومه ساز کاربوم نتیجه بهتری بگیرید
راهنمای شغلی
معرفی شغل دانشمند داده یا دیتا ساینتیست (Data Scientist)
معرفی شغل دیتا ساینتیست: شرح وظایف متخصصان علم داده معرفی شغل دیتا ساینتیست: نیازمندیهای کار معرفی شغل دیتا ساینتیست: چگونه دیتا ساینتیست شویم؟ دانشمند ...