Ubisoft Data Analyst - Marketing Analytics \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Data Analyst - Marketing Analytics Full-time Contract: Permanent Work flexibility: Hybrid Company Description Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassins Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If youre passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown! Job Description This position will be responsible for gathering, structuring, and analyzing data to derive compelling insights that drive the optimization of our marketing initiatives. This includes the design and management of data collection and analytics solutions, analysis of the performance of marketing initiatives and their effect on engagement, conversion, and retention, working with EP and Brand teams, Marketing teams, and Business Hubs. Responsibilities: Help stakeholders make data-driven decisions. Translate the business questions and challenges from the stakeholders into Analytics projects. Deliver a cross-channel, brand level view of performance, insights, and recommendations. Convey the findings on campaign performance and drive optimization decisions with the stakeholders. Provide data analysis and reporting to identify trends and opportunities across channels, audience segments, and player segments. Set marketing targets based on financial ambition and industry benchmarks. Work with marketing teams to ensure marketing efforts are effective and drive incremental engagement and conversion. Perform measurements and develop testing strategies. Develop A/B and multivariate testing strategies. Use predictive analytics to analyze data from viewership, website interactions, media campaigns, CRM, and social platforms. Develop robust analytic processes to frame campaign expectations, inform decision-making, and recommend marketing strategies. Develop data science models and use statistical analysis to answer business questions from both brands and marketing service teams. Partner closely with Brand and Marketing teams to define measurement plans, generate insights, and deliver data driven POVs. Synthesize data from various sources to deliver actionable insights and codify learnings as best practices. Provide marketing data insight generation. Create narratives and actionable insights from complex data. Define and implement strategies for measuring and optimizing the impact of marketing activities on sales and user engagement. Create, guide, and distribute data and insights via regular and ad-hoc reporting utilizing analytics tools (SQL, Tableau, Excel, PowerPoint, Jupyter Hub, Dagster). Qualifications Proven analytical skills; ability to analyze raw data, draw conclusions, and develop actionable recommendations. Strong quantitative skills, and experience utilizing scientific analytic methods, qualitative methods, and quantitative analysis techniques, as well as predictive modeling. Demonstrated success presenting complex qualitative and quantitative research data in a clear and compelling manner that inspires action. Excellent organizational and communication skills, resourcefulness, and ability to self-direct In-depth knowledge of SQL and Excel. Experience in generating insights from customer level data and aggregated data sources. Experience in programming, Jupyter, Python, R, or comparable statistical modeling tools is a plus. Programming experience and knowledge of Tableau. Multi-channel attribution analyses, A/B testing experience preferred. Working knowledge of digital marketing preferred. Gaming experience preferred. Additional Information Ubisoft's 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 Ubisoft's 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\\] : visio interview with the manager of the role  and a Recruiter, \\[60 minutes\\] : A take-home case study to complete and ti present to the team, \\[60 minutes\\] : visio interview with  the Senior Director of Marketing Analytics 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. Check out this guide to help you with your application, and learn about our actions to encourage more diversity and inclusion. I'm interested I'm interestedCookies Settings I'm interested share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Data Analyst - Marketing Analytics Paris, France Full-time I'm interested I'm interested

The role requires proven analytical skills with the ability to analyze raw data and develop actionable recommendations. Strong quantitative skills are necessary, along with experience in scientific analytic methods, qualitative methods, quantitative analysis techniques, and predictive modeling. The candidate must be adept at presenting complex research data clearly and compellingly to inspire action. Excellent organizational and communication skills, resourcefulness, and the ability to self-direct are also essential. In-depth knowledge of SQL and Excel is required, as is experience generating insights from customer-level and aggregated data.