- Collaborate with business stakeholders to understand business challenges, define optimal analytical approach.
- Communicating findings and recommendations and collaborate with other partners.
- Work with a variety of data sources - extracting knowledge and actionable information from massive datasets.
- Analyze broad data sets and provide actionable insights to solve the critical business problems (Customer Segmentation, Cross-sell/Up-sell, Customer Churn Prediction, etc.).
- Gather requirements from different business units and translate that to actionable insights.
- Ability to build and maintain automated analytics dashboards, metric reports, and data visualizations.
- Communicate and present on technical information with non-technical team members and stakeholders.
- Strong ability to troubleshoot and resolve data issues
- Support the business with ad hoc reporting.
- Collaborate with engineering and product development teams.
- Provide technical sharing/training to team members.

- Bachelor's degree or the equivalent experience in statistics, finance, economics or a related field.
- Ability to apply statistical techniques and principles to solve or provide direction to a business problems.
- Analytical mind and business acumen.
- Experience designing reports and dashboards as Power BI, or equivalent BI product.
- Experience with common data science toolkits, such as Python, or R, etc.
- High-level experience in methodologies and processes for managing large scale databases.
- Experience working with databases such as PostgreSQL, MySQL, or equivalent.
- Excellent communication skills including written, verbal and presentation.