Business Analytics Intern

Job Description

Business Analyst Intern | Staffline Solutions

The Tone:
This is an internship at Staffline Solutions, located in the United States. The company’s client is dedicated to enhancing business performance through robust data analysis and insightful reporting. This role is crucial for enabling the client to identify key trends, measure performance, and make data-driven decisions that impact their operational and strategic goals.

The TL;DR
• Role: Internship
• Type: Flexible
• Location: Remote, United States

• Mission: To solve business problems through data analysis and support data-driven decision-making for the client.
• Tech Stack: Excel, SQL, Power BI, Tableau, Looker Studio, Python, R

What You’ll Actually Do
• Data Collection & Preparation: Collect, organise, and ensure the accuracy and consistency of business data from various sources.
• Performance Analysis: Analyse key performance indicators (KPIs) and business metrics to identify trends and patterns.
• Reporting & Visualization: Develop and maintain professional reports, dashboards, and presentations for stakeholders using business intelligence tools.
• Strategic Support: Assist in forecasting, business planning, and provide data-driven recommendations for process improvement initiatives.
• Cross-functional Collaboration: Partner with different teams to understand business requirements and integrate data insights into operational strategies.

The Must-Haves
• Background: Entry-Level, pursuing or recently completed a Bachelor’s or Master’s degree in Business Analytics, Data Analytics, Economics, Statistics, Computer Science, Business Administration, or a related quantitative field.
• Experience: Strong analytical and problem-solving skills, with basic knowledge of Microsoft Excel or Google Sheets.
• Skills: Microsoft Excel (Advanced Functions, Pivot Tables, Charts), SQL, Data Visualization (Power BI, Tableau, Looker Studio), Business Reporting, Critical Thinking.
• Bonus: Knowledge of Python or R for data analysis, Statistical Analysis, understanding of business processes and performance metrics, and an eagerness to learn and adapt to new technologies.