Data Visualization Business ytics

Overview:

Key Responsibilities:

• Collaborate with business stakeholders to understand data visualization requirements
• Design and develop interactive dashboards and reports using data visualization tools
• Utilize SQL and other data querying tools to extract and manipulate data for visualization
• Create visually compelling presentations to communicate insights and trends
• Identify key business metrics and KPIs for tracking and reporting
• Conduct data analysis to support business decisionmaking processes
• Ensure data accuracy and reliability in visualization outputs
• Stay updated with industry best practices in data visualization and analytics
• Provide training and support to end users on data visualization tools and techniques
• Collaborate with data engineers and analysts to optimize data sources for visualization
• Contribute to the development and maintenance of data visualization standards and guidelines
• Participate in crossfunctional teams to drive datadriven initiatives
• Communicate complex findings and insights in a clear and understandable manner
• Contribute to the continuous improvement of data visualization processes

Required Qualifications:

• Bachelors degree in Business Analytics Information Systems Computer Science or related field
• Proven experience in data visualization and business analytics
• Advanced proficiency in data visualization tools such as Tableau Power BI or QlikView
• Strong SQL skills for data manipulation and extraction
• Ability to interpret and translate complex data into visual insights
• Familiarity with statistical and analytical tools and methods
• Experience in dashboard design and development
• Knowledge of data governance and data quality best practices
• Excellent communication and presentation skills
• Ability to work collaboratively in crossfunctional teams
• Solid understanding of business processes and decisionmaking frameworks
• Strong problemsolving and critical thinking abilities
• Experience in training and supporting end users on data visualization tools
• Understanding of data security and privacy principles
• Ability to adapt to evolving technologies and industry trends

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