Data Analyst

• Job Title: Junior Data Analyst
• Employment Type: Full-Time (W2)
• Candidate must be open to relocate.

We are seeking motivated and aspiring Data Analysts to join our growing consulting team. This opportunity is ideal for recent graduates and early-career IT professionals who are passionate about data analysis, business intelligence, reporting, and transforming data into meaningful insights to support business decisions.

Responsibilities

• Collect, clean, validate, and analyze data from multiple sources to support business and operational objectives.
• Develop reports, dashboards, and visualizations to communicate key business insights.
• Write SQL queries to extract, manipulate, and analyze large datasets.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and opportunities.
• Collaborate with business stakeholders, data engineers, and software development teams to understand reporting requirements.
• Assist in maintaining data quality, accuracy, and integrity across enterprise systems.
• Generate ad hoc reports and provide analytical support for business initiatives.
• Follow data management best practices, including documentation, version control, and Agile methodologies.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, Business Analytics, Mathematics, Statistics, Economics, Engineering, or a related technical field.
• 1–4 years of professional experience in data analysis, business intelligence, reporting, analytics, or a related technical role.
• Strong analytical skills with proficiency in **SQL, Microsoft Excel, Python, R, or similar data analysis tools**.
• Familiarity with data visualization tools such as **Power BI, Tableau, or Looker**.
• Understanding of relational databases, data modeling, and database concepts.
• Basic knowledge of statistics, data analysis techniques, and business intelligence principles.
• Exposure to cloud platforms such as **AWS, Microsoft Azure, or Google Cloud Platform (GCP)** is a plus.
• Familiarity with data analysis libraries such as **Pandas, NumPy**, or similar tools is preferred but not required.
• Strong analytical, problem-solving, and communication skills.
• Ability to present findings and insights to both technical and non-technical stakeholders.
• Willingness to relocate to **Atlanta, GA** for the paid training program and travel or relocate as required for client engagements across the United States.

• Preferred Qualifications
• Internship, academic, or personal projects involving data analysis, reporting, business intelligence, or data visualization.
• Experience using Microsoft Excel (Pivot Tables, Power Query, VLOOKUP/XLOOKUP), SQL, and reporting tools.
• Familiarity with ETL processes and data warehousing concepts.
• Knowledge of Git or other version control systems.
• Understanding of Agile/Scrum development methodologies.

Thanks.