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# Data Analyst

- **Company:** Raas Infotek LLC
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Microsoft Excel, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, BigQuery, Data Validation, Data Cleansing, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Mining, Data Visualization, Data Warehousing, Dimensional Modeling, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MySQL, NumPy, Oracle (Applications), Power BI, SQL Stored Procedures, SQL Databases, Tableau (Software), Jupyter Notebook, Data Processing, Freeform SQL, Google Cloud, Sql Optimization, Snowflake, Git, Pandas, Data Analytics, Databricks
- **Published:** November 4, 2026
- **Apply:** https://www.dice.com/job-detail/c1434852-8d29-4969-b73f-645437c2198b

## About the Role

We are seeking an experienced Senior Data Analyst with strong expertise in SQL, Python, data analysis, data visualization, and business intelligence. The ideal candidate should have experience analyzing large datasets, developing dashboards, identifying business trends, and providing data-driven insights to support business decisions., * SQL: Advanced SQL, Joins, CTEs, Stored Procedures, Window Functions.

 * Programming: Python, Pandas, NumPy.
 * Visualization: Power BI, Tableau, Excel.
 * Databases: SQL Server, Oracle, MySQL, PostgreSQL.
 * Data Processing: ETL, Data Cleaning, Data Transformation.
 * Cloud Platforms: AWS, Azure, or Google Cloud Platform.
 * Analytics: Statistical Analysis, Data Modeling, Predictive Analytics.
 * Tools: Excel, Jupyter Notebook, Git., * 8-12+ years of experience in Data Analytics or Business Intelligence.
 * Strong hands-on experience with SQL and data visualization tools.
 * Experience working with large and complex datasets.
 * Ability to translate business requirements into actionable insights.
 * Strong analytical, communication, and problem-solving skills.

Preferred Skills

 * Experience with Snowflake, Databricks, or BigQuery.
 * Knowledge of data warehousing and dimensional modeling.
 * Experience in Agile/Scrum environments.

## Description

* Collect, clean, analyze, and interpret large datasets from multiple sources.
 * Develop complex SQL queries, stored procedures, and data extraction processes.
 * Perform data analysis using Python, Pandas, and NumPy.
 * Design and develop interactive dashboards and reports using Power BI or Tableau.
 * Identify trends, patterns, and business insights to support decision-making.
 * Perform data validation, data quality checks, and reconciliation.
 * Collaborate with business stakeholders to gather and document analytical requirements.
 * Translate business requirements into analytical solutions and reports.
 * Support data integration, ETL processes, and data transformation.
 * Present analytical findings and recommendations to management.