Head of Data

We are looking for a Head of Data to lead and develop a team of data professionals.

The team's mission is to provide actionable data-based insights and to build the related data infrastructure and methodologies.

 

Responsibilities

  • Manage a team of BI developers and business analysts. 
  • Solve ambiguous challenges by executing sophisticated quantitative and advanced modeling to deliver actionable insights
  • Take ownership in the company’s data modeling efforts and data systems including Data-Lake, warehousing , ETL, streaming, reporting and analysis tools
  • Analytically tackle problems and deliver analytical and statistical models. 
  • Partner with Business, Marketing, Content, and Product teams to provide high-impact insights and promote data-driven decision-making.
  • Deliver compelling insights to influence decisions and roadmaps.
  • Analytically support growth engines (providing analysis and algorithms). 
  • Oversee the entire data analytics and BI processes across the business unit - from creating roadmaps to managing and prioritizing daily activities.
  • Design DWH and analytics solutions for our games 
  • Enforce standard methodologies in developing all analytics tools and models.

 

Requirements

  • 7+ year of experience in business or operational data analysis 
  • 3+ years experience of managing a team of analysts, with a proven track record of building, developing and growing a team.
  • Extensive experience in Python and SQL – Must. Tableau - Advantage . Cloud Technologies - big Advantage. 
  • 3+ years of experience with large DWH systems and BI solutions relying on the data infrastructure – Must
  • Hand On experienced with big data environment, tools and data modeling
  • Proven track record in similar roles, in B2C companies, preferably in the gaming industry.
  • Knowledge/experience in optimization and testing space - (A/B) split tests, multivariate tests.
  • Exceptional communication skills, ability to work with senior management and lead strategic cross-company projects.
  • University degree, B.Sc. preferred, in Statistics, Mathematics, or a related field
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