Analytics Intern: SQL, Forecasting & Dashboards

Global GP LLC; Georgia; On-site; USD 21,000 - 29,000; Full time

Benefits offered by this job

Health insurance

401k match

Tuition reimbursement

Job summary

Global Partners is seeking an Advanced Analytics Intern to support quantitative analysis and data-driven decision making across our core business units. You will work with a modern cloud analytics stack, turning raw data into actionable insights that inform how the business operates.

The role offers exposure to statistical methods, forecasting, A/B or experimentation evaluation, and collaboration with analysts and engineers.

Qualifications

• Pursuing a degree in a quantitative field with strong analytical skills.
• Experience with SQL and one of Python or R is preferred.
• Ability to transform data into actionable business insights.

Responsibilities

• Conduct exploratory data analysis on operational and financial datasets to surface trends and anomalies.
• Write and refine SQL queries against a cloud data warehouse to build clean, analysis-ready datasets.
• Support statistical analyses such as forecasting and experiment evaluation using Python or R.
• Build and maintain dashboards and visualizations for business stakeholders.
• Assist with data validation and quality checks to ensure reproducibility of analyses.
• Collaborate with analysts to translate findings into clear, actionable recommendations.
• Document methodologies and assumptions for repeatability.
• Contribute to a capstone analysis presented to analytics leadership.

Skills

SQL

Python

R

Data analysis

Forecasting

Experiment evaluation

Data visualization

Data validation

Documentation

Collaboration

Job description

Global Partners is seeking an Advanced Analytics Intern to support quantitative analysis and data-driven decision making across our core business units. You will work with a modern cloud analytics stack, turning raw data into actionable insights that inform how the business operates.

The role offers exposure to statistical methods, forecasting, A/B or experimentation evaluation, and collaboration with analysts and engineers.