Our client, an MNC, is actively seeking a BI Specialist to join their Advanced Analytic Team - a dynamic group of data professionals dedicated to driving business growth and operational efficiency through innovative analytics and cutting-edge BI tools like Tableau.
As a BI Specialist, you will leverage your technical expertise in Tableau to transform complex data into meaningful insights. You'll play a crucial role in designing dashboards, conducting data analysis, and supporting data-driven decisions across various departments.
Key Responsibilities:
As a BI Specialist, you will leverage your technical expertise in Tableau to transform complex data into meaningful insights. You'll play a crucial role in designing dashboards, conducting data analysis, and supporting data-driven decisions across various departments.
Key Responsibilities:
- Collaborate with business stakeholders to gather requirements and deliver impactful Tableau dashboards.
- Design and develop interactive visualizations, reports, and charts that communicate key business trends.
- Ensure data accuracy through rigorous validation and testing.
- Analyze KPIs to identify trends, anomalies, and actionable opportunities.
- Streamline data pipelines in collaboration with data engineering teams.
- Optimize Tableau dashboards for performance and usability.
- Provide training and support to business users on Tableau best practices.
- Stay updated with the latest in data visualization trends and Tableau enhancements.
- Support data governance and quality initiatives.
- Document your work progress and align with management and cross-functional teams.
Required Skills and Qualifications:
- Bachelor's degree in Computer Science, Data Analytics, or a related discipline.
- Proven experience in a BI role, with expertise in data visualization.
- Advanced proficiency in Tableau, including calculations, parameters, and data blending.
- Proficient in Python, SQL, Google BigQuery, and Azure Synapse.
- Strong SQL skills with experience in large datasets and data warehouses.
- Solid understanding of data modeling and warehousing concepts.
- Exceptional ability to translate complex data into impactful, actionable insights.
- Strong communication skills (both verbal and written).
