> Markdown version of [/jobs/ext/3088597-data-analytics-development-remote](https://www.wearedevelopers.com/jobs/ext/3088597-data-analytics-development-remote). 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 Analytics & Development - REMOTE - **Company:** STRUCTURES COMPANY LLC - **Location:** Orlando, FL, United States (Remote available) - **Experience:** Experienced - **Salary:** $47,840.0 - $60,320.0 - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Data Analysis, Databases, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Visualization, Data Driven Tests, SAP (Applications), SAP HANA, Tableau (Software), Sap Business Objects, Data Analytics, Apache Nifi - **Published:** September 26, 2026 - **Apply:** https://www.careerjet.com/jobad/us60fd17d264d5b64cac1aca577749ef3a ## About the Role Must be a U.S. Person (as defined by ITAR). 6+ years of experience with SAP HANA or SAP Business Objects suite. 6+ years of strong knowledge and hands-on experience working with SAP HANA database. 3+ years of experience with data analytics and/or visualization tools like Tableau. 6+ years of experience in ETL tools, especially SAP BODS and NiFi. Automation experience. 3+ years of experience performing impact assessment and lineage analysis. Experience creating mapping and completing documentation. Understanding of data governance, data security, and data quality. Expertise in developing data warehouse solutions and experience with ERP, PLM, MES or other systems and processes., Must be a U.S. Person (U.S. citizen, lawful permanent resident, or protected individual under 8 U.S.C. 1324b(a)(3)) to comply with ITAR regulations. Keywords: aerospace, aviation, engineering, maintenance, aircraft design, defense Take your career to new heights-apply today! ## Description Develop in SAP HANA database and perform ETL using BODS with minimal guidance. Create and optimize BODS jobs and NiFi, create views, replicate tables, and perform data engineering. Troubleshoot production issues urgently and recover to meet customer needs. Implement automation, guardrails, and optimize daily ETL jobs. Create and revise documentation for data engineering processes. Perform impact analysis of current state for upcoming changes. Execute development to support data-driven analysis and metric reporting. Perform data collection, reporting development, and analytics execution. Develop data warehouse solutions. Utilize internal AI tools to improve operational efficiency.