Data Visualization Specialist - Tableau/Power BI

We are seeking a highly skilled Data Visualization Specialist with a strong understanding of visual storytelling, dashboard development, and data-driven decision support. You will play a critical role in transforming complex data sets into meaningful insights using advanced visualization techniques and tools like Tableau, Power BI, Python, D3.js, and more

Key Responsibilities :

- Design and develop compelling and interactive dashboards, charts, and reports using Tableau, Power BI, or custom visualization libraries.

- Create engaging visualizations using Python (Matplotlib, Seaborn) or R (ggplot2) to support data analysis and insight delivery.

- Implement data storytelling principles to communicate key business insights effectively to both technical and non-technical stakeholders.

- Build custom visualizations using JavaScript libraries like D3.js, especially for advanced and interactive use cases.

- Work on geospatial data visualizations and apply mapping techniques using tools such as Mapbox, Leaflet, or equivalent.

- Apply UX/UI best practices for data visualization to optimize readability, usability, and user engagement.

- Handle large-scale and real-time data sources for big data visualization, optimizing performance and load times.

- Collaborate with data scientists, analysts, product managers, and business stakeholders to gather requirements and refine visual outputs.

- Experiment and innovate with 3D visualizations or VR/AR-based visual experiences where relevant.

- Define and contribute to the organizations data visualization strategy and governance.

- Conduct workshops and training sessions on visualization tools and principles as needed.

Required Skills & Qualifications :

- 48 years of experience in data visualization, BI, or data analytics roles.

- Strong expertise in Tableau or Power BI and dashboard design best practices.

- Proficiency in Python (Matplotlib, Seaborn) or R (ggplot2) for analytical visualizations.

- Hands-on experience with JavaScript visualization libraries such as D3.js, Chart.js, or Plotly.

- Knowledge of data storytelling, user-centric design, and data communication techniques.

- Experience with geospatial visualization tools and concepts.

- Familiarity with big data platforms and streaming visualization scenarios (e.g., using Spark, Kafka).

- Understanding of UX/UI principles specific to visual analytics and dashboards.

- Exposure to custom visualization development, 3D visualization, or AR/VR applications is a plus.

- Strong problem-solving skills and attention to detail.