Senior Tableau Developer

Job description

Li- Hybrid

Responsibilities

· Develop and implement the visualization of data quality checks within Tableau to show the level of data quality of specific business performance measures in SE Intel.

· Design and create user-friendly Tableau dashboards that effectively communicate data quality metrics and insights to stakeholders.

· Collaborate with data engineers and analysts to understand data quality issues and develop solutions to address them.

· Identify and address user experience challenges within Tableau dashboards to enhance overall usability and effectiveness.

· Work closely with cross-functional teams to ensure data quality standards are met and maintained.

· Stay updated on industry best practices and emerging trends in data quality management and Tableau development.

Desired profile

Qualifications :

Qualifications

· Proficiency in Tableau development, including creating interactive dashboards, calculated fields, and parameters.

· Strong understanding of data quality management principles and methodologies.

· Experience with data validation, cleansing, and transformation processes.

· Knowledge of user experience (UX) design principles and the ability to apply them to Tableau dashboard development.

· Strong knowledge of SQL and data querying for data validation and quality assurance purposes.

· Excellent communication and collaboration skills to work effectively with cross-functional teams.

· Bachelor's degree in Computer Science, Information Systems, or a related field. Additional certifications in Tableau and data quality management are a plus.

· Bachelor’s degree in a relevant field such as Data Science, Computer Science, or related disciplines.

· Proficiency in SQL and a working knowledge of Python.

· Experience and knowledge in Collibra will be a plus.

· Strong problem-solving skills and the ability to react swiftly to data quality issues.

· Excellent communication skills and the capacity to interact effectively with various stakeholders.

· Detail-oriented with a focus on maintaining data security and integrity.