Data Analyst: Build Dashboards, Uncover Trends

Goodwill Southeast Georgia; Savannah (GA); On-site; USD 65,000 - 90,000; Full time

Job summary

Goodwill Southeast Georgia is seeking a Data Analyst to transform raw data into actionable insights. You will collect, clean, and analyze large datasets, develop dashboards with Power BI and Tableau, and provide timely reports and recommendations to multiple departments.

The role emphasizes statistical analysis using R and SAS, data visualization, and collaboration with stakeholders to drive data-driven decisions and improve organizational performance.

Qualifications

• Bachelor's degree in a related field.
• Proven data analysis experience including cleaning and manipulation.
• Proficiency in R and SAS for statistical analysis.
• Strong data visualization skills with Power BI and Tableau.
• Experience with pivot tables and advanced Excel functions.

Responsibilities

• Collect, clean, and validate data from multiple sources.
• Develop and maintain dashboards and reports using Power BI and Tableau.
• Perform statistical analysis and data modeling using R and SAS.
• Create pivot tables and data summaries for ad hoc queries.
• Collaborate with cross-functional teams to deliver actionable insights.
• Identify data quality issues and improve data integrity.
• Present findings and recommendations to stakeholders clearly.

Skills

Data cleaning

Data visualization

Statistical analysis

Data modeling

Pivot tables & Excel

Communication with stakeholders

Education

Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or related field

Proven data analysis experience

Master's degree in quantitative discipline

Tools

Power BI

Tableau

R

SAS

SQL

Python

Job description

Goodwill Southeast Georgia is seeking a Data Analyst to transform raw data into actionable insights. You will collect, clean, and analyze large datasets, develop dashboards with Power BI and Tableau, and provide timely reports and recommendations to multiple departments.

The role emphasizes statistical analysis using R and SAS, data visualization, and collaboration with stakeholders to drive data-driven decisions and improve organizational performance.