Playtika is looking for a Business Analyst Team Lead to join the Marketing Division!

we are looking for an individual who is deeply passionate about data-driven decisions, transforming raw data into clear actionable business insights, and who is constantly driving himself/herself and the team towards meeting the next challenge. If you are a hands-on, seasoned manager who is comfortable in a fast-paced and dynamic environment, this is most probably the perfect opportunity for you!

• responsible for supporting the planning and for monitoring the release of the business roadmap
• Lead and develop a team of business analysts to provide actionable deliverables that are clearly, accurately and thoroughly documented, and understood by all the stakeholders in the studio
• Constantly communicate with client stakeholders to provide BA insights and recommendations, as well as advising on possible strategies for projects
• Carefully monitor the game’s daily KPIs trend and share your team’s insights/concerns throughout the day
• Manage multiple projects at a time in a fast-paced, results-oriented environment.

• Minimum of 3 years of business or operational analysis experience in a management-level position.
• Demonstrated business analysis leadership and experience in large cross-functional enterprise projects
• Good understanding of Scrum/Agile software development process
• Extensive Experience in SQL, R, SPSS, and Tableau
• Experience from a B2C industry. The gaming industry is preferred.
• Experience in leading and coaching data mining initiatives
• Proven track record of building, developing, and growing a team.
• Knowledge and understanding of social gaming on mobile and Facebook, an asset.

Knowledge and Skills:

• Ability to communicate abstract analytical findings or concepts in simple business language
• Strong business acumen with exceptional numerical and analytical skills and demonstrated ability to develop clear executive-level presentations
• Experience in providing forecast scenarios under uncertainty
• Experience in Big Data (an asset)
• Profound knowledge in direct marketing, experimental design, customer analytics, segmentation, and modeling
• Ability to work well under pressure and manage multiple projects and deadlines simultaneously
• Ability to work collaboratively, define the problem and identify solutions to resolve it in business and analytical settings
• Ability to think through problems and quickly develop solutions – a long-term approach to problem-solving
• Strong organizational and time management skills