Shamil Alijanov
Head of Growth Marketing Department @ Azerconnect Group
About
Highly skilled, passionate professional with 8+ years of experience in improving revenue performance, achieving cost excellence and increasing operational efficiency. Known for driving a wide range of business initiatives, including customer base and usage analytics, measuring the performance of retail channels, managing annual budgeting process, developing predictive churn models and controlling effective pricing. Equipped with proven record of accomplishment in building and automating the entire reporting process. Extensive experience leading small, big and cross-functional business intelligence and analytics teams.
Azerbaijan
Baku City
Telecommunications
Etl workflows, Efficiently process, analyze, and optimize large datasets using GPU acceleration, MLOps for scalable data science, Product Development, Product Marketing, Marketing Analytics, Mobile Marketing, Data-driven Decision Making, Data Science, Business Analysis, Data Analysis, Forecasting, Financial Reporting, Financial Analysis, Accounting, R studio, Microsoft Excel, Microsoft Word, Microsoft Outlook, Microsoft PowerPoint
Experience

Head of Growth Marketing Department
Baku City, Baku Ekonomic Zone, Azerbaijan
Growth Marketing involves creating and executing scalable, data-driven strategies to boost customer acquisition, improve retention, and drive long-term revenue growth across mobile and fixed business. It combines product innovation, strategic partnerships, and performance marketing to identify market opportunities, enhance customer experience, and deliver sustainable business value.

Head of Customer Insight Department
Baku, Baku Ekonomic Zone, Azerbaijan
Leading comprehensive market research and business intelligence efforts to identify consumer needs and trends, turning these insights into strategic actions and effective marketing campaigns

Head of Analytics and BI Department
Baku City, Baku Ekonomic Zone, Azerbaijan
- Building an analytics environment in the company: setting up the infrastructure, tools, and processes to collect, store, analyze, and visualize data for informed decision-making - Participate actively in the ongoing transformational journey of the company, playing an integral role in shaping and driving the changes necessary for its growth and adaptation to evolving market dynamics - Take part in strategic planning and all commercial budgeting process - Set and designed appropriate KPIs on postal and financial services of the company - Conduct different surveys measure customer loyalty, feedbacks on new product and overall company - Get actively involved in the Ministry of Digital Development and Transport projects. - Coached and supported team members in their professional development. - Strategically organizing and distributing resources to efficiently manage staffing and achieve objectives in terms of productivity and quality.

Head Of Business Intelligence And Analytics
Baku, Baki, Azerbaijan
▪Monitoring of Company Performance: tracking of actual daily revenue per services, products and provide periodic recommendations on company performance improvement ▪Explore data and share periodic recommendations on product portfolio optimization. To monitor the international trends in telecommunication industry and their impact on commercial strategy of the company ▪To involve strategic planning process and manage all commercial budgeting issues ▪Coaching and supporting team members in their professional development. Cascading companies strategies and targets down to employees ▪ To prepare a full work plan (with all tasks & projects) on completed, ongoing and planned jobs and update this file on updates, completion and weekly basis ▪ To create history of active and inactive products and services of the company ▪ To be fully informed about company products and services, internal formulas/definitions and their calculation methods ▪ To be fully informed about market position of the company, platform based and tariff based daily, monthly, annual reporting figures and other statistics ▪ To have clear knowledge on company Time to Market (TTM) process for products and services ▪ To become advanced user of analytics tool for making customer analysis, developing Churn Prediction models and other types (segmentation, models for revenue increase and other products' sales) of models, renew and modify them periodically

Head Of Business Intelligence
Baku, Azerbaijan
▪Monitoring of Company Performance: tracking of actual daily revenue per services, products and provide periodic recommendations on company performance improvement ▪Explore data and share periodic recommendations on product portfolio optimization. To monitor the international trends in telecommunication industry and their impact on commercial strategy of the company ▪To involve strategic planning process and manage all commercial budgeting issues ▪Coaching and supporting team members in their professional development. Cascading companies strategies and targets down to employees ▪ To prepare a full work plan (with all tasks & projects) on completed, ongoing and planned jobs and update this file on updates, completion and weekly basis ▪ To create history of active and inactive products and services of the company ▪ To be fully informed about company products and services, internal formulas/definitions and their calculation methods ▪ To be fully informed about market position of the company, platform based and tariff based daily, monthly, annual reporting figures and other statistics ▪ To have clear knowledge on company Time to Market (TTM) process for products and services ▪ To become advanced user of analytics tool for making customer analysis, developing Churn Prediction models and other types (segmentation, models for revenue increase and other products' sales) of models, renew and modify them periodically

Senior Business Intelligence Analyst
Baku, Azerbaijan
▪ To prepare a full work plan (with all tasks & projects) on completed, ongoing and planned jobs and update this file on updates, completion and weekly basis ▪ To create history of active and inactive products and services of the company ▪ To be fully informed about company products and services, internal formulas/definitions and their calculation methods ▪ To be fully informed about market position of the company, platform based and tariff based daily, monthly, annual reporting figures and other statistics ▪ To have clear knowledge on company Time to Market (TTM) process for products and services ▪ To prepare daily, monthly, annual and ad hock analysis and reports ▪ To become advanced user of analytics tool for making customer analysis, developing Churn Prediction models and other types (segmentation, models for revenue increase and other products' sales) of models, renew and modify them periodically ▪ To get Market Research, Customer Feedback and Sales data from related departments, analyze these data and use it for Churn Prediction and other types of modeling ▪ To prepare relevant reports on completed and ongoing tasks ▪Revenue forecasting with ARIMA model ▪Budget preparation ▪Predictive Modeling

Commercial Analyst
▪ To prepare a full work plan (with all tasks & projects) on completed, ongoing and planned jobs and update this file on updates, completion and weekly basis ▪ To create history of active and inactive products and services of the company ▪ To be fully informed about company products and services, internal formulas/definitions and their calculation methods ▪ To be fully informed about market position of the company, platform based and tariff based daily, monthly, annual reporting figures and other statistics ▪ To have clear knowledge on company Time to Market (TTM) process for products and services ▪ To prepare daily, monthly, annual and ad hock analysis and reports ▪ To become advanced user of analytics tool for making customer analysis, developing Churn Prediction models and other types (segmentation, models for revenue increase and other products' sales) of models, renew and modify them periodically ▪ To get Market Research, Customer Feedback and Sales data from related departments, analyze these data and use it for Churn Prediction and other types of modeling ▪ To prepare relevant reports on completed and ongoing tasks ▪Revenue forecasting with ARIMA model
Shamil Alijanov's Contact Information
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