.About us and the role:Zynga's mission is to connect the world through games. Its vision was that gaming would become a mass market activity, and 'play' would be an important verb in our daily lives. As a part of this vision, Zynga Analytics successfully partners with studios to release and grow multiple games, while also owning the analytics stack and central tools.Zynga Analytics focuses on providing analytics services and product development that are key to studios enhancing gameplay experience. As a Lead Data Analyst Consultant you will be the voice of Marketing Analytics (MKA) and play a key role in bridging the gap between data analysis and product development. As you grow into the role, you will help steer product strategy.This role requires a unique blend of technical and business skills, with a focus on leveraging data to inform and enhance the product development process. This role is accountable for demand generation, product evangelism, and other related projects as part of partnering with key teams responsible for scope, delivery, adoption, and engagement. We are looking for a self-starter who flexes their style between an in-the-weeds technical data analyst and a results-oriented product visionary.Responsibilities:Provide data-driven insights to guide product development decisions.Technically engage with the analysts, data scientists, and game teams to provide insights and guidance derived from quantitative study; influence and analytically validate product assumptions and roadmap.Assist in defining and refining product features based on user and consumer insights.Contribute to development of long term product and data strategy.Bolster stakeholder trust and build technical knowledge through execution of ad hoc analyses of high business priority.Adept at communication and collaboration across various functional areas within the organization. Stay up to date on industry trends, data analysis techniques, and product development methodologies.Desired Skills & Experience:4+ years of work experience in data analytics or data science roles with a demonstrated experience in product design and project management.Strong experience in SQL and experience in Python; Adept in at least one visualization tool such as Tableau.Experience with some of the following: data mining, predictive modeling, statistics, experimental design, application development, computational analytics, econometric modeling, data visualization.Strong business acumen and ability to evangelize an up-to-date awareness of where analytics/data science can be leveraged to provide business value across all levels and disciplines. Ability to develop clear narratives from data using visualization tools such as Tableau. A track record of ideating and shipping features that positively impact business objectives
