BI Consultant

Job Summary: Should have strong data modeling skills and be proficient in SQL with some familiarity with Tableau. Ideal candidate should be able to develop SQL statements for landing data into Kavos semantic model, establish joins in the tool and create/modify calculations. The key aspect here will be on the validation of the results relative to the existing Tableau dashboards

Skill Requirements

• Strong analytical skills to interpret data and identify trends. Proficiency in using data visualization tools like Tableau or Power BI.
• Normalize and structure data to reduce redundancy and dependency, ensuring efficient data modeling and database creation. Familiarity with programming languages like Python or R for data analysis.
• Provide data-driven insights and recommendations to improve business operations and decision-making.
• Design, develop, and maintain Tableau-based dashboards, reports, and data visualizations to meet business requirements.
• Collaborate with stakeholders to gather and understand business requirements, translating them into technical specifications for analytical solutions.
• Work closely with data engineers and architects to design and implement scalable data models, Data Marts, and Data Products.
• Implement data validation and quality checks to ensure accuracy and consistency. Ensure compatibility and interoperability between different systems and platforms.
• Support ongoing technology evaluation processes and proof-of-concept projects.
• Utilize agile methodologies, principles, and practices to plan, manage, and deliver high-quality products and services to internal and external customers.
• Document processes, methodologies, and standards for Tableau development and data visualization.
• Participate in regular meetings and presentations to communicate project status, insights, and recommendations to stakeholders.
  
  

Additional Requirement

• Knowledge in PostgreSQL Snowflake databases
• Experience in IBM Stream set data migration tool
• Knowledge of data modeling best practices