Data Analyst

Job Overview

Work Arrangement

• The role is onsite in Atlanta, Georgia, five days per week.
• The posting describes a W2 contract lasting three months, with a possibility of extension.

Responsibilities

• Analyze large and complex datasets; identify trends, patterns, opportunities, and business insights.
• Develop and maintain interactive dashboards, reports, KPIs, and visualizations using Power BI or similar BI tools.
• Use Python, Pandas, and NumPy for data manipulation, analysis, and automation; write and optimize SQL for data extraction, transformation, validation, and reporting.
• Work with Snowflake and cloud-based platforms; gather stakeholder requirements and translate them into analytical solutions.
• Perform data validation, quality checks, reconciliation, and root-cause analysis; create ad hoc reporting and analyses for business and operational decisions.
• Collaborate with Data Engineering and Data Science teams and support predictive analytics, AI-driven insights, performance monitoring, and forecasting.
• Document business rules, KPI definitions, data requirements, metrics, and analytical processes; present findings and recommendations to stakeholders and leadership.
• Identify opportunities to improve reporting, data quality, analytics processes, and self-service BI.

Required Skills and Experience

• 4–8+ years of experience in Data Analytics, Business Intelligence, Reporting, or a related field.
• Strong Python skills, particularly Pandas and NumPy; strong SQL and data analysis experience.
• Hands-on Power BI dashboard and report development; strong hands-on Snowflake experience is explicitly a must-have.
• Advanced Excel and reporting skills; understanding of data modeling, data warehousing, and analytical data structures.
• Experience with statistical analysis and business metrics, data validation, reconciliation, and quality checks.
• Experience with cloud data platforms such as Snowflake, Databricks, Redshift, BigQuery, or Synapse.
• Strong problem-solving and analytical skills, stakeholder management, communication, and presentation skills.

Preferred Skills

• Preferred or good-to-have experience includes Databricks, PySpark, generative AI, AI-powered analytics, and natural-language querying.
• Preferred knowledge includes ETL/ELT, data governance, Azure, AWS, or GCP, machine learning fundamentals, forecasting, Streamlit, and Jupyter Notebooks.
• Tableau, Looker, or other self-service analytics platforms and data governance, metadata, or data quality frameworks are desirable.

Education

• Bachelor’s or master’s degree in Computer Science, Information Technology, Statistics, Mathematics, Engineering, or a related field.

Success Criteria