Head Of Analytics Team (B2B Sales Models)
Current1. Building a reporting system for measuring the effectiveness of sales models (direct sales, recommendation system, sales channels, product split, etc.):- identifying business needs and problems,- task / project management, formulation of KPIs / team priorities,- maintaining a backlog (Jira), monitoring the stages and deadlines,- definition of data analysis tools (SAS / Python & Spark / SQL) and data visualization instruments (QlikView, PowerBI Desktop, MS Excel / PowerPoint), verification of data sources,- development and adjustment of technical specifications in key areas of reporting- definition of methodology for reporting: sales funnels, metrics (MAU, CR, LTV, etc.), segmentation, time series, correlation analysis, etc.- development of dashboards (SQL, Python)- analysis of metrics’ dynamics, hypothesis testing, preparation of data for business planning and top-management2. Client base management (segmentation, determination of optimal communication channels, distribution of the client base between client managers):- proactive work with business units to determine the areas of development - task planning, backlog maintenance (Jira), control of stages and deadlines- development of technical specifications (Confluence) for the development of models (ML-models, mathematical models, statistical analysis)- analysis and verification of data sources (Oracle, Hadoop, Teradata)- writing algorithms for model calculations (SQL, Python)- verification of models’ results together with business units- interaction with CRM-systems to reflect the results of model calculations 3. Business analysis:- collection, description and analysis of data and business processes requirements - coordination of customers’ needs and requirements, dispute resolution and task prioritization- organization of cross-functional meetings to agree on a scope of migration tasks and the timing of their implementation- data quality control, setting tasks to correct data problems
