Information Technology - Data Analytics & Development
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Role details
Tech stack
Job description
Join a leading-edge technology team in Orlando, FL, as a Data Analytics & Development Specialist. Utilize your deep expertise in SAP HANA, ETL, and data engineering to drive impactful analytics solutions supporting business-critical operations. Leverage innovative automation and AI tools to streamline processes while troubleshooting urgent production issues. This is your opportunity to engineer robust data solutions and advance your career in a collaborative, growth-focused environment., Develop, modify, and optimize SAP HANA database objects such as calculation views, table functions, and stored procedures.
- Design, implement, and maintain ETL processes using SAP BODS, Informatica, and Nifi.
- Replicate and manage tables for efficient data integration and analytics.
- Proactively troubleshoot and resolve production issues to ensure operational continuity.
- Innovate and implement automation strategies to optimize daily ETL jobs and improve data pipeline efficiency.
- Create and update technical documentation, including mapping and impact analysis.
- Conduct data collection, reporting development, and analytics execution to support data-driven decision-making.
- Perform impact assessments and data lineage analysis for upcoming system changes.
- Support data governance, security, and quality initiatives across the organization.
- Utilize AI tools to enhance operational efficiency and process automation.
Requirements
Minimum 6 years of hands-on experience with SAP HANA or SAP Business Objects suite.
- In-depth knowledge of SQL, Hadoop, and Big Data environments.
- 6+ years’ experience in ETL development, especially with SAP BODS, Informatica, and Nifi.
- 3+ years’ experience with data analytics or visualization tools such as Tableau.
- Strong analytical problem-solving abilities.
- Excellent oral and written communication skills.
- Demonstrated expertise in developing scalable data warehouse solutions.
- Experience with ERP, PLM, or MES systems.
[Preferred Skills]
- Experience performing comprehensive impact assessment and data lineage analysis.
- Proven ability to create detailed documentation and process mapping.
- Familiarity with data governance, security, and quality frameworks.
- Prior use of internal AI tools to improve operational workflows.
Benefits & conditions
Competitive compensation and comprehensive benefits package.
- Opportunity for skill advancement and leadership growth within a dynamic IT environment.
- Collaborative and innovative team culture.
- Exposure to cutting-edge automation and AI technologies.
- Support for continued learning and professional development.
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