Архив: Business Data Director. Москва.

Job purpose and key deliverables

General Mission is
TO consolidate, exploit and valorize the data which is available to the company so as to grow its business

TO carry the responsibility of governance and utilization of data as an asset for the whole company, via data processing, analysis, data mining, data science, information trading and other means

TO bring the company at a better level of knowledge of inhabitant and customer knowledge, and to transform this information into value, using :
• usual quantitative / qualitative methodologies
• the exploitation of CRM and google analytics data
• geomarketing (expansion)
• adding “data science” methodologies.

Competences:

High-level statistical or econometrical education ; knowledge of big-data and machine-learning (that is : knowledge and use of in- or out-sourced big data combination of systems such as Google Analytics, Apache Hadoop, Elastic Search + live interface Kibana...)
Clear communication skills, capacity to effectively present the findings (vulgarization capabilities)
Charisma, capacity to become be the « data champion » of our company
Networking skills (knows well the industry and providers in the big data area) + Direct management experience
Project-mode and agile-mode (iterative sprints) experience
Strategy construction and execution
Problem-solving capabilities
Excellent written and verbal skills to report back findings
Programming skills (Java, R or SAS)
Obligatory good English level (French is an optional plus)

Necessary tools to work efficiently :
• Digital-internet and IT-organization dedicated support teams
• Own team focused on inhabitant-knowledge (+/- 12 persons)
• Yearly budget, with a variable possibility (to be defined)

Desired background:
• 5year+ customer or data management in a company extensively using big data, such as large internet companies, telecommunication or banks, retail copmanies
• Repetition: knowledge and use of in- or out-sourced big data combination of systems such as Google Analytics, Apache Hadoop, Elastic Search + live interface Kibana...)