Data Analyst

Location: Atlanta GA Onsite 5 Days/Week
Duration: 3-Month Contract with possibility of extension
Employment Type: W2 Contract

We are seeking an experienced Data Analyst with 48 years of experience in data analytics business intelligence reporting and data-driven decision-making. The ideal candidate will have strong hands-on expertise in Python Power BI SQL and Snowflake with the ability to transform complex datasets into actionable business insights.

The candidate should be comfortable working with business stakeholders analyzing large datasets developing dashboards and reports performing data validation and supporting analytics initiatives across cloud data platforms.

• Analyze large and complex datasets to identify trends patterns opportunities and business insights.

• Develop and maintain interactive dashboards reports KPIs and data visualizations using Power BI or similar BI tools.

• Use Python 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.

• Gather requirements from business stakeholders and translate 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 decisions.

• Collaborate 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 opportunities to improve reporting data quality analytics processes and self-service BI capabilities.

• 48 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 experience with Power BI and dashboard/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 working 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.

• 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 with 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.

• Bachelors or Masters degree in Computer Science Information Technology Statistics Mathematics Engineering or a related field.

1. Snowflake

2. Python Pandas/NumPy

3. Power BI

4. SQL

• Databricks

• PySpark

• Generative AI / AI-powered analytics

• Natural Language Querying

• ETL/ELT

• Azure / AWS / GCP

• Machine Learning fundamentals

• Forecasting

• Streamlit

• Jupyter Notebooks

• Data Governance

• Ability to convert complex data into clear actionable business insights.

• Strong combination of technical analytics skills and business acumen.

• Ability to develop reliable dashboards reports and analytical solutions.

• Strong focus on data accuracy quality and governance.

• Effective collaboration with business Data Engineering and Data Science teams.

• Ability to communicate analytical findings and recommendations clearly to stakeholders and leadership.

• Duration: 3 months with potential for extension

• Location: Atlanta GA

• Work Arrangement: 100% onsite 5 days per week

• Employment type :W2