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.