Alexander Voronov

•Analyze business and technical requirements to understand the detailed data management requirements. •Create conceptual, logical and physical data and metadata models to represent data. •Propose solution to the business and take the responsibility to follow up its implementation. •Navigate through the client’s organization and coordinate with other departments to build big data IT processes

•Manage BI team (analytics, developers) •Collect and manage large data sets to perform complex data analysis •Work as part of a multi-discipline product development team •Transform data into insights to identify & quantify business opportunities •Communicate the results and their implications to the business stakeholders

•Liaising with the users and stakeholders within business departments to collect requirements and establish project scope •Analyzing of customer's business and technical requirements and taking the lead in translating those requirements and strategies into feasible products, solutions, and services •Work with the project team to roll out the application specific to the user requirements •Managing DWH&BI project in top 10 russian banks (VTB24, Alfabank, Uralsib, Otkritie)

•DWH implementation for risk department •Basel II analytical IT applications development and maintenance. •Management of the development team (work, budget and time planning). •Key business users support from risk management department. •Problem solving of bank analytical systems in complex IT landscape.

•Gather and document client requirements and translate these into process and system architecture designs. •Design, develop, and test processes for validating and conditioning data prior to loading into a data warehouse. •Work with project managers to scope projects and develop statements of work, project plans, and risk analysis. •Provide technical thought leadership and actively participate in the application design, implementation, and roll-out efforts.

•Analyses of business processes and users' requirements formalization with the purpose of the following automation in the frames of business needs. •Elaboration of requirements specification: description of algorithms, user interfaces, description of production goals. •Design, develop, and test processes for extracting data from legacy systems or production databases (Oracle Data Integrator). •Presale activities (Oracle BI, Oracle Data Integrator).

Engineering management

Databases, SQL, Data management.