> Markdown version of [/jobs/ext/4587838-data-analytics-development](https://www.wearedevelopers.com/jobs/ext/4587838-data-analytics-development). 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 - **Company:** PLANIT GROUP - **Location:** Orlando, FL, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Big Data, Databases, Data Governance, Extract Transform Load (ETL), Data Security, Data Visualization, Apache Hadoop, Data Driven Tests, SAP (Applications), SAP HANA, SQL Databases, Tableau (Software), Sap Business Objects, Data Analytics, Apache Nifi - **Published:** November 5, 2026 - **Apply:** https://www.thejobnetwork.com/job/83c6f2bf-56ae-4bac-8b98-a023b619efbc/data-analytics-development ## About the Role Able to troubleshoot production issues urgently and able to recover to meet customers' needs. Able to think implement automation, guardrails, think outside of the box to optimize daily ETL jobs. Will need to create and revise documentation Able to perform analysis on impact of the current state for the upcoming changes and execute development to support data driven analysis and metric reporting with responsibilities including data collection, reporting development, and analytics execution. Must be US Citizen 6 years of experience with SQL, Hadoop / Big Data, SAP HANA, or SAP Business Objects suite 6 years of experience - 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 experience in ETL tool - especially in SAP BODS, Informatica and Nifi Must have strong problem-solving skills and strong oral and written communication skills Automation experience 3 years of experience to perform analysis on impact assessment and lineage Create mapping, complete documentation Understanding of data governance, data security, and data quality Expertise in developing data warehouse solutions Experience with Enterprise Resource Planning (ERP), Product Lifecycle Management (PLM), and/or Manufacturing Execution System (MES) or other systems and processes Able to utilize internal AI tools to help with operation efficiency