Data Analyst

Inabia Software & Consulting Inc. is seeking a Data Analyst for a 3-month W2 contract in Atlanta, GA. This is a 100% onsite role working 5 days per week, focused on turning complex data into accurate reporting, dashboards, KPIs, and business insights.

Key Responsibilities

• Analyze large and complex datasets to uncover trends, patterns, opportunities, and business insights.
• Build and maintain interactive dashboards, reports, KPIs, and data visualizations using Power BI or similar BI tools.
• Use Python with Pandas and NumPy for data manipulation, analysis, and automation.
• Write, optimize, and maintain complex SQL queries for data extraction, transformation, validation, and reporting.
• Work extensively with Snowflake and cloud-based data platforms.
• Collect and refine requirements from business stakeholders, translating them into analytical solutions.
• Perform data validation, quality checks, reconciliation, and root-cause analysis to ensure data accuracy and reliability.
• Create ad-hoc reports and analytical solutions to support business and operational decision-making.
• Partner with Data Engineering and Data Science teams on analytics and data initiatives.
• Support predictive analytics, AI-driven insights, business performance monitoring, and forecasting activities.
• Document business rules, KPI definitions, data requirements, metrics, and analytical processes.
• Present analytical findings, trends, and recommendations to business stakeholders and leadership.
• Identify improvements to reporting, data quality, analytics processes, and self-service BI capabilities.

Required Qualifications

• 4–8+ years of experience in Data Analytics, Business Intelligence, Reporting, or a related field.
• Strong Python skills, including Pandas and NumPy.
• Strong SQL and hands-on data analysis experience.
• Hands-on experience with Power BI for dashboard and report development.
• Strong hands-on experience with Snowflake (Must Have).
• Advanced Excel and data reporting skills.
• Understanding of data modeling, data warehousing, and analytical data structures.
• Experience with statistical analysis and interpretation of business metrics.
• Strong data validation, reconciliation, and quality-checking skills.
• Experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, BigQuery, or Synapse.
• Strong problem-solving and analytical skills.
• Excellent stakeholder management, communication, and presentation skills.

Good-To-Have Skills

• Experience with Snowflake and Databricks.
• Exposure to Generative AI, AI-powered analytics, and Natural Language Querying.
• Knowledge of PySpark and large-scale data processing.
• Familiarity with ETL/ELT pipelines and data governance.
• Experience in Azure, AWS, or GCP ecosystems.
• Knowledge of Machine Learning fundamentals and forecasting techniques.
• Experience with Streamlit and Jupyter Notebooks.
• Experience with Tableau, Looker, or other self-service analytics platforms.
• Understanding of data governance, metadata, and data quality frameworks.

Technologies

Python, Power BI, SQL, Snowflake, Pandas, NumPy, Excel, Databricks, Redshift, BigQuery, Synapse, PySpark, ETL/ELT, Azure, AWS, GCP, Streamlit, Jupyter Notebooks, Tableau, Looker.

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Statistics, Mathematics, Engineering, or a related field.

Contract & Work Arrangement

• Employment type: W2
• Duration: 3 months (potential extension)
• Location: Atlanta, GA
• Work arrangement: 100% onsite, 5 days per week

Success Criteria

• Convert complex data into clear, actionable business insights.
• Deliver reliable dashboards, reports, and analytical solutions.
• Maintain a strong focus on data accuracy, quality, and governance.
• Collaborate effectively with business, Data Engineering, and Data Science teams.
• Communicate analytical findings and recommendations clearly to stakeholders and leadership.