Product Manager - Data Insights
São PauloHybridFull-time
AI Summary
Analytical product leader who translates data insights into strategy, defines growth roadmaps, and partners with engineering, product, and BI to improve game performance and user metrics.
About this role
We are looking for talented people to work with data insights and help us scale and extract the best performance from Fanatee’s games. In this role, you will interact and work across multi-disciplinary teams: engineering, product and business intelligence as well as focus on opportunities and providing direction to grow and improve our games. You’ll translate analyses into strategy and features, and follow game development from start to finish. To succeed in this role, you should be an analytical and creative leader and a reliable problem-solver.
Responsabilities
- Identifying and executing relevant analyses that may lead to opportunities in user LTV or increasing top-of-funnel acquisition.
- Organizing growth roadmaps and delivering results while managing the data and developer teams’ pipelines and time availability.
- Ability to formulate product strategy and present clear measurable objectives.
- Provide valuable input into business cases based on data analysis and demonstrate how that analysis impacts key product metrics.
- Proactively design and implement process improvements
- Improve monitoring and alerting capabilities to ensure data quality;
- Optimize the performance of data models;
- Research and develop new methods, tools, and technologies;
Requirements
- Bachelor’s or Master's degree in Business Administration, Economy, Engineering or Computer Science.
- 3 years experience in management, consulting, financial or tech company.
- Advanced English (will be tested).
- Knowledge of dashboarding software such as Tableau, AWS Quicksight or Microsoft PowerBI.
- Experience in analyzing large datasets.
- Develop SQL queries to extract/organize data from different sources (Oracle, Data Warehouse, Hadoop, cloud applications) and make it available for data analysts.
- Demonstrable ability to work in a dynamic environment, and to meet changing deadlines and priorities.
- Comfortable manipulating, transforming, and analyzing complex, high-volume, high-dimensionality data from varying sources.
- Strong written and oral communication skills.
- Excellent analytical and problem-solving skills. Have the ability to draw data-driven business insights.
Nice to Have
- Ability to code in Python.
- Experience working on global companies or global products..
- Experience with some or all of the following: machine learning, statistics, experimental design, data mining, predictive modeling and deep learning.
Skills
AWS QuickSightCloud ApplicationsDashboardingData AnalysisData Mining (nice To Have)Data ModelingData WarehouseDeep Learning (nice To Have)Experimental Design (nice To Have)HadoopMachine Learning (nice To Have)Microsoft Power BIOraclePredictive Modeling (nice To Have)Python ( Nice To Have )SQLStatistics (nice To Have)Tableau
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