Tech Stack
Amazon RedshiftCloudPythonSQL
About the role
- Conduct research, create dashboards, and generate reports for teams across the organization
- Ensure data is accurate and high-quality; analyze, structure, and present data to aid decision-making
- Develop and implement data-driven strategies to enhance product performance and user experience
- Analyze user behavior and product usage data to identify opportunities for optimization and innovation
- Create visually engaging reports and dashboards for internal teams and external partners
- Perform in-depth data analysis to uncover reasons behind metric fluctuations and verify assumptions
- Collaborate with cross-functional teams to understand product requirements and improve feature functionalities
- Utilize statistical models and machine learning techniques to predict product trends and user behavior
- Implement rigorous quality assurance processes to uphold data accuracy and reliability
- Present insights and recommendations to stakeholders, contributing to product strategy development
- Enhance data warehouse organization with new objects like analytic data marts and views
- Collaborate with Data Engineering to influence data governance, addressing Analytics Team needs
Requirements
- Bachelor or master’s in Data Science, Computer Science, Engineering, or related fields
- Strong knowledge of, and experience with, SQL and Python
- Some experience with dbt
- 2 to 4 years of hands-on experience in data analytics or a similar role
- Expertise in analytical tools, specifically Periscope, Mixpanel, Google Analytics
- Statistical knowledge, strong analytical and problem-solving skills
- Excellent communication skills including experience speaking to technical and business audiences and working globally
- Comfortable with multi-tasking, managing multiple stakeholders and working as part of a team
- Technical proficiency in database design development, data models, data marts as well as techniques for data mining and segmentation