Data Analyst – Audience Analytics

The Data Analyst Audience Analytics will be responsible for gathering and analyzing customer data of a game portfolio working closely with business stakeholders to provide clear insights about consumer behaviors and deliver strategic recommendations. You will be the main point of contact of marketing teams translating their need into analytical projects and using machine learning methods to provide them insights and support them all along the life of the game on different business needs (acquisition retention ). Who we are Audience Analytics team works with the business stakeholders such as CRM Paid Media AAA brand Live brand and F2P teams located worldwide. Our goal is to support business stakeholders and strategic decisions by delivering them analytical insights about the consumer database and providing them a clear and granular snapshot of our players at a game brand or transversal level. Responsibilities Analytics Create manage and distribute data and insights utilizing analytics tools (SQL Python) Analyze customer data to gather knowledge generate insights create value and support decision-making. Create and maintain of standard Ubisoft / brand / game audiences Identify levers of audience monitor their evolutions and their impacts on business KPIs Build user segments and analyze their behavior Apply a variety of visualization techniques and design the content and appearance of data visuals. Collaboration Translate the business questions and challenges from the stakeholders into Audience Analytics projects. Be the main point of contact of the stakeholder teams ; Understand the brand and marketing objectives and the major initiatives; Identify the most relevant methodology to answer the need; Deliver insight; Conduct meetings and coordinate different interlocutors (finance research marketing ). Work closely with CRM and media teams understand their technical environment and constraints propose an adapted approach to their operational needs Provide strategic audience recommendations to stakeholders Qualifications A degreein Marketing Marketing Research Statistics or Econometrics. A first experience asdata analyst Experience with SQL and Python for data analysis strongly appreciated Strong analytical and synthesis skills; ability to analyze raw data draw conclusions and develop actionable and strategic recommendations Strong quantitative skills and experience utilizing scientific analytic methods qualitative methods and quantitative analysis techniques Proactivity and creativity with data Demonstrated success presenting complex qualitative and quantitative research data in a clear and compelling manner Excellent written and oral communication skills Informations supplémentaires Ubisofts perks Profit Sharing yearly company saving plan. 25 paid time off 12 additional paid days off. 50% of your transportation pass is paid by the company lunch vouchers (9 / day) healthcare for you and your family and lots of Ubisoft additional perks. Maternity leaves of 20 weeks paternity / co-parental leaves of 7 weeks. Our office is located in Saint Mandé (Metro line 1 Saint Mandé station). Gym available in the building. According to Ubisofts hybrid work model our flexible work policy includes a minimum of 3 days a week in our Saint-Mandé office and the remaining 2 days working from home. Recruitment process 30 minutes: phone call with a Recruiter 60 minutes: interview with the manager of the role and a Recruiter 60 minutes: interview with a manager of a transversal team you will collaborate with 60 minutes: you will be presenting a use case during a final one-hour visio interview Information about Ubisoft Ubisoft offers the same job opportunities to all without any distinction of gender ethnicity religion sexual orientation social status disability or age. Ubisoft ensures the development of an inclusive work environment which mirrors the diversity of our gamers community. We embrace a hybrid work model helping you stay connected with your team and aligned with business priorities while giving you the opportunity to maintain your work-life balance. Note that some roles are fully office-based and are not eligible for hybrid work. Consultez ce guide qui a pour but de vous accompagner dans votre candidature et découvrez nos actions pour encourager plus de diversité et dinclusion. Remote Work No Employment Type Full-time Key Skills Data Analytics,Microsoft Access,SQL,Power BI,R,Data Visualization,Tableau,Data Management,Data Mining,SAS,Data Analysis Skills,Analytics Department / Functional Area : Finance Experience : years Vacancy : 1 #J-18808-Ljbffr