Data & Analytics Associate Products

3 semanas atrás

São Paulo, São Paulo, Brasil Shopee Tempo inteiro
The Data Analytics team plays a critical role in conducting close-loop data-driven business iterations. The team collaborates closely with Marketplace's internal stakeholders to understand their requirements and deliver actionable insights to shape business strategy.
Our scope of work is not limited to the development of solutions and data products, such as dashboards, reports, and datasets focused on monitoring and reporting results. We have a role in facilitating problem-solving processes, actively seeking process efficiency and solutions to help play a role in critical, high-impact changes to the business.
- Develop business domain expertise within the Products squad;
- Partner with cross-functional stakeholders to design data solutions and pipelines that can drive the greatest impact (e.g. process optimization, driving business insights);
- Work with large datasets to problem-solve, identify key business issues or opportunities, construct hypotheses, and investigate the "why" behind trends and observations;
- Communicate and present insights to key stakeholders and senior management;
- Drive analysis on various projects and initiatives to accelerate growth inside Products Team;
- Create models & build customer segmentation;
- Identify operational opportunities and help improve/automate product and processes to keep teams as efficient as possible;
- Execute projects and experiments to find new opportunities with the Product Team;
- Develop analytical frameworks to support Product Managers decision making;
- Build tools for Product Managers to better execute and measure results of their initiatives;
- Work closely with our leadership team to prepare reports & analysis for high priority business reviews with senior/broad audiences.
**Requirements**:
- Relevant hands-on experience in analytical roles;
- Knowledge in SQL is a must and Python is desirable;
- Comfortable working with large data sets and numbers;
- Knowledge in data warehousing, ETL/ELT process, and big data ecosystem (Hadoop, Spark, Hive) is preferred;
- Experience working with data visualization tools to report data and drive insights;
- A good understanding of Data Analysis and Analytics frameworks is a plus;
- Written and verbal English communication skills with the ability to present complex data and information in a clear and concise; manner to a variety of audiences, including executives and technical/non-technical leaders;
- Thrives in a dynamic work environment, able to prioritize tasks by understanding short term and long term business goals;
- Have good interpersonal skills and is comfortable in engaging stakeholders from different levels.
**Join us and let the data flow through you

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