Responsibilities:
- Direct and implement the strategic vision and value of Company Customer data;
- Establish vision and data strategy for organization data initiatives;
- Deploy and develop on-line sales operations platform leading Customer data transformation;
- Establish the data management program to enable data assets and analytics to significantly contribute to the achievement of the department’s strategic objectives;
- Lead the efforts to track data collections, databases, physical data models, and linkages between datasets;
- Develop and maintain controls on data quality, interoperability and sources to effectively manage corporate risk, financial reporting and regulatory requirements associated with the use of data;
- Improve data quality and implement means to measure and report on data quality.
Requirements:
- Higher education (economical, financial, mathematical degree is preferable);
- Experience in big data management over 5 years (data integration, modeling, optimization and data quality);
- Experience in automotive industry and aggregator companies will be an asset;
- Deep understanding of big data principles, as well as understanding of a variety of data access and analytics approaches;
- Ability to analyze project, program and portfolio needs, as well as determine the resources needed to achieve objectives and overcome cross-functional barriers;
- Strong knowledge of fundamentals of the legislation on advertising, mass media, customer protection, copyright and related rights;
- Excellent communication and persuasion skills, including the ability to formally present information to management;
- Ability to work with various multinational, internal and external stakeholders and achieve results on time and within budget;
- PC advanced user: MS Office (Excel, Power Point), MSQL or Power BI instruments;
- English: Upper-intermediate level or higher.
Company offers:
- Friendly and professional team, modern office located at Mezhdunarodnaya metro station (Moscow City);
- Good social package: meal compensation, medical and accident insurance, partial compensation of fitness and English lessons;
- Schedule with a flexible start of the working day: 8:00/8:30/9:00.