• To make data supported suggestions in order to adapt Product and Service portfolio of the company for achieving profitable and customer oriented set of offerings
• To prepare business cases for justification of undertaking a project or program which includes analytical justification of benefit, cost and risk and provides a rationale for the preferred solution
• To execute end to end targeted campaigns, such as usage stimulation initiatives, up-/cross- selling and retention campaigns via marketing automation tool 
• To support coordination of outbound team for execution up-sell/cross-sell outbound calling programs according the segmentation model and operational roadmap
• To prepare of the corresponding reports regarding responsible working areas, including monitoring and evaluation the returns on each campaign (ROI), in terms of subscriber retention, generated revenue, usage, ARPU and etc.
• To analyse dynamics, trends and performance of the market players in Customer Value Management and Business Intelligence areas and assessment of their impact on Company
• To automate all processes related to core activities of CVM unit, such as business analysis, customer segmentation assignation of segmented offers and reporting
• To provide feedbacks regarding improvement of existing systems and processes as well as end to end implementation of positive changes
• To support team during major projects related to CVM scope, including Requirements analysis, Stakeholder analysis, Planning and Design, Solution Evaluation, Implementation evaluation (UAT and Sanity testing) Post-launch analysis and monitoring.

• Higher education in Economics, Marketing, Applied Math and Cybernetics or other related fields 
• Business and Data Analytics, Data Science, Statistics proficient, marketing 
• Minimum 1 year of experience in CRM, Business Analytics, Data Science, Marketing or Forecasting in Telecommunication, FMCG, Financial or other relevant sectors 
• Azerbaijani and English (Fluent), Russian (preferable) 
• Good knowledge of one of the statistical tools (i.e. Stata, R, Python) 
• SAS/SQL (preferable)
• Project management skills
• Analytical mindset
• Teamwork & Collaboration
• Customer Focus
• Drive for Results
• Continuous Improvement
• Problem solving skills
• Ownership skills

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