Data Analyst

• Five or more years of experience in data analytics, business intelligence, data visualization, or a related field.
• Demonstrated experience using Tableau to develop interactive dashboards and compelling visualizations.
• Strong proficiency in SQL and experience working with relational databases and complex datasets.
• Experience performing data analysis to identify trends, patterns, anomalies, and actionable insights.
• Experience gathering requirements and translating business questions into analytical and reporting solutions.
• Understanding of data visualization principles, dashboard design, and reporting best practices.
• Working knowledge of data modeling and the relationships between source data, analytical datasets, and reporting solutions.

• Strong analytical and problem-solving skills with a curious, investigative approach to data.
• Ability to move beyond presenting numbers to explain what the data means and why it matters.
• Excellent written, verbal, and visual communication skills.
• Ability to communicate analytical and technical concepts clearly to non-technical audiences.
• Strong attention to detail and commitment to data accuracy and quality.
• Ability to manage multiple priorities and work independently while collaborating effectively with others.
• A collaborative and empathetic approach to working with stakeholders with varying levels of technical and data expertise.
• Strong customer-service orientation and commitment to delivering useful, high-quality analytics solutions.

• Experience with Tableau Server or Tableau Cloud, including publishing, permissions, data sources, extracts, and dashboard performance optimization.
• Familiarity with data warehouses, data lakes, and modern analytics architectures.
• Familiarity with Microsoft SQL Server and/or SAP ASE/IQ.
• Experience working with large or complex datasets from multiple systems.
• Experience supporting data governance, metric definitions, data quality, or reporting standards.

Nice to Have:

• Tableau Certified Data Analyst or similar certification.
• Experience with Python or R for data analysis, data preparation, or automation.
• Experience with exploratory data analysis, statistical analysis, or advanced analytics.
• Experience developing dashboards or analytics solutions for operational, performance, or executive reporting.