Tableau Developer with Data Science

Job Title: Tableau Developer with Data Science

Location: Charlotte, NC

Duration: Contract

Job Description:

We are seeking an experienced Tableau Developer with a strong Data Science background to join our analytics team. The ideal candidate will possess deep expertise in Tableau dashboard development, SQL programming, Oracle databases, and data visualization, along with hands-on exposure to data science techniques such as predictive analytics, statistical modeling, and machine learning.

This role requires a strong analytical mindset, business intelligence expertise, and the ability to transform complex datasets into meaningful insights for business stakeholders and executive leadership.

Key Responsibilities:

• Design, develop, and maintain interactive Tableau dashboards, scorecards, and reports.
• Collaborate with business stakeholders, analysts, and data scientists to gather reporting requirements and deliver actionable insights.
• Develop and optimize complex SQL queries for data extraction, transformation, and analysis.
• Work extensively with Oracle databases, including performance tuning and data integration activities.
• Perform data modeling, ETL processes, and data validation across multiple data sources.
• Apply data science techniques such as regression analysis, forecasting, clustering, and predictive modeling to support business decisions.
• Improve dashboard performance and optimize large dataset reporting in Tableau.
• Ensure compliance with data governance, security standards, and BI best practices.
• Troubleshoot Tableau server, data connectivity, and reporting performance issues.
• Support enterprise-level and executive (C-suite) reporting initiatives.

Required Qualifications:

• Bachelor s or Master s degree in Computer Science, Data Science, Information Systems, or related field.
• 5+ years of experience in Tableau development and business intelligence reporting.
• Strong expertise in Tableau Desktop, Tableau Server, and Tableau data visualization best practices.
• Advanced SQL development and query optimization skills.
• Hands-on experience with Oracle databases and PL/SQL.
• Solid understanding of data science concepts including:
• Predictive Modeling
• Statistical Analysis
• Machine Learning
• Forecasting
• Clustering
• Experience with ETL tools and data preparation workflows.
• Knowledge of data warehousing concepts and BI architecture.
• Strong analytical, communication, and stakeholder management skills.