Job Responsibilities:

Data Visualization: Design and develop interactive and visually appealing dashboards, reports, and data visualizations using Tableau and QlikSense to present complex data

in a clear and actionable manner.

Data Analysis: Work closely with business stakeholders and data analysts to understand data requirements and translate them into effective visualizations that

support data-driven decision-making.

Data Integration: Gather, cleanse, and integrate data from various sources, ensuring data quality and accuracy for reporting and analytics purposes.

Dashboard Development: Develop and maintain a library of interactive dashboards and reports that provide insights into key performance indicators (KPIs) and business

metrics.

Performance Optimization: Optimize dashboard performance and data queries to ensure fast and efficient data retrieval and visualization.

Data Modeling: Design and implement data models and data structures to support efficient data visualization and reporting processes.

User Training and Support: Provide training and support to end-users on Tableau and QlikSense tools, enabling them to navigate and interact with dashboards effectively.

Collaboration: Collaborate with cross-functional teams, including data engineers, business analysts, and stakeholders, to understand data requirements and align

business needs with BI solutions.

Data Security and Governance: Ensure compliance with data security and governance policies to safeguard sensitive information and maintain data integrity.

Stay Up-to-date: Stay abreast of the latest trends and advancements in data visualization and BI tools to continuously enhance and improve BI solutions.

Qualification and Skills:

 Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.

 Typically requires 3-4 years of experience in developing Tableau and QlikSense dashboards and reports.

 Tableau and QlikSense Proficiency: Strong proficiency in Tableau and QlikSense, including data preparation, dashboard design, and complex calculations using

formulas and scripts.

 Data Analysis: Solid understanding of data analysis concepts and the ability to work with complex datasets to extract valuable insights.

 SQL Knowledge: Proficient in SQL to perform data querying and manipulation.

 Data Visualization Best Practices: Familiarity with data visualization best practices and principles, including color theory, chart types, and user experience (UX) design.

 Data Integration: Experience with data integration and ETL processes to extract, transform, and load data from various sources.

 Communication Skills: Excellent communication and presentation skills to effectively convey insights and findings to stakeholders.

 Problem-solving: Strong problem-solving skills and the ability to find innovative solutions to business challenges through data visualization.

 Team Player: Collaborative mindset with the ability to work effectively in a team

oriented environment.

 Analytical Thinking: Strong analytical and critical-thinking skills to interpret data and draw meaningful conclusions.