What You’ll Be Doing

• Data Analysis and Reporting: Analyze complex data sets to identify business and market trends. Develop, maintain, and manage advanced reporting, analytics, dashboards, and other BI solutions.
• Data Interpretation and Strategy Development: Interpret data and analyze results using statistical techniques. Provide actionable insights and recommendations to drive business decisions and strategies.
• Collaboration with Different Departments: Work closely with various teams (IT, marketing, sales, etc.) to understand their data and reporting needs. Ensure that BI solutions align with business objectives.
• Data Quality and Management: Oversee the data collection, storage, and retrieval processes. Ensure accuracy and consistency of data.
• Project Management: Lead BI projects, including planning, execution, monitoring, and closure. Ensure that projects meet business requirements and are delivered on time.
• Tool and Technology Proficiency: Use BI tools (like Tableau, Power BI, etc.) and database languages (like SQL) to create and manage BI solutions.
• Training and Support: Provide training and support to users on new reports and dashboards. Foster a data-driven culture within the organization.
• Continuous Improvement: Continuously seek ways to improve data reporting and analytics processes. Stay updated with the latest BI tools, trends, and best practices.

What We Look For In You

Experience: more than 5 years experience, Prior experience in crypto projects will be an added advantage

Analytical Skills: Strong ability to analyze data and draw insights.

Technical Expertise: Proficiency in BI tools, databases, and data analysis techniques.

Communication: Excellent verbal and written communication skills to present findings clearly.

Problem-Solving: Ability to solve complex business problems using data.

Attention to Detail: High level of accuracy and attention to detail.

Leadership: Experience in leading projects and teams.

Educational Background: Typically requires a bachelor's degree in a related field (business, IT, statistics, etc.), though this can vary by organization.