Technical Architect MAHIN

Tableau Data Analyst

Data Analysis and Reporting

• Data Collection and Processing:
  Gather data from various internal and external sources. Clean, process, and prepare data for analysis.
• Dashboard Development:
  Design, develop, and maintain Tableau dashboards and reports. Ensure the dashboards are visually compelling and provide meaningful insights.
• Report Automation:
  Automate repetitive reporting tasks using Tableau features. Schedule and distribute regular reports to stakeholders.

Data Visualization

• Interactive Visualizations:
  Create interactive and user-friendly dashboards to visualize complex datasets. Utilize Tableau's advanced features such as parameters, calculated fields, and filters.
• Insight Generation:
  Translate raw data into actionable insights and trends. Identify key metrics and KPIs to track business performance.
• Data Storytelling:
  Develop narratives around data to effectively communicate insights. Use data visualization techniques to tell compelling stories.

Stakeholder Collaboration

• Requirement Gathering:
  Work with business units to understand their data needs and objectives. Translate business requirements into technical specifications for dashboard development.
• Presentations and Demonstrations:
  Present findings and visualizations to stakeholders and senior management. Conduct demonstrations and workshops to showcase Tableau dashboards.
• Training and Support:
  Provide training sessions to end-users on Tableau functionalities. Offer ongoing support and troubleshooting assistance.

Project Management

• Multiple Projects Management:
  Manage and prioritize multiple projects simultaneously. Ensure timely delivery of high-quality dashboards and reports.
• Documentation:
  Document processes, methodologies, and best practices. Maintain detailed records of data sources, transformations, and calculations.
• Continuous Improvement:
  Stay updated with the latest Tableau features and updates. Continuously seek ways to improve and streamline data visualization processes.

Data Governance and Quality Assurance

• Data Integrity:
  Ensure data accuracy and integrity in all reporting and visualizations. Implement data validation and quality assurance processes.
• Standards and Best Practices:
  Establish and adhere to data governance standards and best practices. Ensure compliance with company policies and regulations.
• Security and Privacy:
  Implement data security measures to protect sensitive information. Ensure compliance with data privacy regulations.

Collaboration with IT and Data Teams

• Data Integration:
  Collaborate with IT and data teams to integrate various data sources. Work on ETL processes to ensure seamless data flow.
• Technical Support:
  Provide technical support for Tableau Server and Tableau Online. Troubleshoot and resolve technical issues related to Tableau.

Additional Responsibilities

• Innovation and Research:
  Explore and evaluate new tools and technologies that can enhance data visualization and analysis capabilities.
• Feedback Incorporation:
  Gather feedback from end-users to improve the usability and functionality of dashboards.
• Performance Monitoring:
  Monitor the performance of Tableau dashboards and optimize them for better efficiency.