> Markdown version of [/jobs/ext/3997583-data-analyst-sap](https://www.wearedevelopers.com/jobs/ext/3997583-data-analyst-sap). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst (SAP) - **Company:** Insight Global - **Location:** Nashville, TN, United States - **Experience:** Experienced - **Contract:** Temporary contract - **Skills:** Data Analysis, Big Data, Data Validation, Extract Transform Load (ETL), Data Profiling, Data Visualization, Data Warehousing, Relational Databases, Database Queries, SAP (Applications), SAP HANA, SQL Databases, Snowflake - **Published:** October 28, 2026 - **Apply:** https://dejobs.org/x/x/CFA4C670B82E4D6688D57385A1437E8F/job/ ## About the Role 2+ years of experience in data analysis Strong SAP HANA knowledge and hands-on data analysis experience Strong SQL skills Experience with Snowflake Experience working with relational databases Knowledge of data modeling Understanding of ETL/ELT concepts Understanding of data warehousing concepts Experience with data profiling and cleansing Experience with data validation and reconciliation Experience creating data visualizations Strong data documentation skills Extensive SAP HANA, Snowflake, and/or SQL ## Description We are seeking a Data Analyst for a 6-month contract to support data analysis, validation, cleansing, and reporting initiatives. This individual will work with large datasets across platforms such as SAP HANA and Snowflake, using SQL to analyze, reconcile, and transform data while ensuring accuracy and consistency. Key Responsibilities Analyze and interpret data using SAP HANA, Snowflake, and SQL Perform data profiling, cleansing, validation, and reconciliation Identify data quality issues and support remediation efforts Develop and maintain data models Work with relational databases and data warehouse environments Support ETL/ELT processes and data movement initiatives Create data visualizations to communicate findings and trends Validate data across source and target systems Maintain clear documentation of data definitions, processes, mappings, and findings Partner with technical and business stakeholders to understand data requirements