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Senior Analytics Manager - The Sims™
2 years ago
About Maxis and The Sims™
Welcome to Maxis, home to tinkerers, craftspeople, & storytellers. Our plan is to inspire everyone to make a better world through creative play. As the developer of the Sims, we create games and experiences for millions of people around the world and are always looking for new ways to inspire our players. Maxis is a place where you can do what you love and help others grow while doing it; a place where your unique voice can be heard and seen. We put creativity and inclusivity at the core of our work and don't settle for seeing the world only as it is, but aim to build a world as it could be.
The Role
We are looking for a Senior Manager of Analytics to help build and guide one of our analytics and data science teams on The Sims ™ franchise. You are versatile, proactive, and technical. You have an analytical background in gaming or digital products, be able to find relevant insights from massive volumes of data, and have experience directing the implementation of foundational data architecture that makes such work possible. You must also be a demonstrated leader, passionate about building a high performing analytics team, and able to work with leadership to maximize that team's impact.
Your colleagues will be a tight-knit studio of enthusiastic industry craftspeople from all walks of life and a variety of different locations around the world. You'll also join a group of experienced . analysts and data scientists as a member of the embedded-and-dedicated Studios Data and Insights (SDI) team. You will report to Sr Director of Studio Analytics - North America.
The Sims™ has an extremely unique player base, attracting a large, young, female-skewing audience. If you're passionate about games and excited about contributing to the best possible experience for our players through data and insights, come join us!
Responsibilities
- Lay Foundations: Use knowledge of games analytics best practices to inform early data infrastructure, telemetry implementation, data technology, KPI development decisions for that game.
- Analyze: Through data analysis, find and advocate for new opportunities to improve the player experience, improve acquisition, engagement and monetization.
- Team-Build: Hire and manage analysts and data scientists. Oversee deliverables and advise on methodology. Lead peer reviews
- Teach: Play an important in our data democratization and education effort. Prioritize insights self-serve solutions. Teach power users how to use dashboards and access data. Help those who are less familiar understand the right questions to ask, and how they can better use data to inform their decision-making. Encourage all partners to adopt hypothesis-driven thinking.
- Model: Oversee the design, building, maintenance and evangelization of predictive models for player behavior
- Experiment: Serve as a go-to expert for quantitative methodology, implementation and application, including experiments such as A/B and multivariate tests, and other causal inference methods
- Drive Change: Influence decisions and product strategy through fact-based, data-driven insights; serve as a change agent for Maxis's mission to become a data informed studio.
Required Experience
- 7+ years' experience in quantitative analysis and senior partner management for a gaming or digital products company
- 3+ years' experience in people management
- Expert level SQL
- A foundation in math; deep statistical knowledge including an understanding of probability, correlation, regression, classification, and forecasting. Demonstrated experience with applications of machine learning.
- Experience using Python or R to conduct analysis and build models
- Experience with data visualization packages/libraries/software like R-Shiny, GGplot, Looker, Tableau
- Ability to translate business problems and constraints into analysis plans with clearly defined deliverables, and ownership
- Superb ability to distill complex analytical topics into compelling presentations and data stories for nontechnical groups and executives
- A team-player who can maintain close collaborations with co-workers and partners
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