- Support and Collaboration Collaborate with service managers to escalate critical issues and follow incident resolution procedures. Coordinate with L3 development teams/engineers, L4 external partners, and business partners for the defined solutions in scope.
- User Support Promptly respond to user queries and technical issues related to analytical applications.
- System Monitoring Perform system monitoring, incident detection, and initial problem diagnosis. Document support activities, troubleshooting steps, and resolutions for future reference.
- Incident Management Monitor incidents/problems to ensure timely resolution in compliance with project and service SLAs.
- Application Maintenance: Monitor and maintain applications and related data pipelines using available technologies to proactively address risks, slowdowns, and failures before they impact customers.
- Solution Monitoring: Create, optimize, and maintain end-to-end solution monitoring.
- System Optimization: Analyze and optimize data flows, analytics solutions, and IT-related systems. Track service performance and contribute to improving the efficiency and quality of services provided to the customer.
- Bachelor's degree in computer science, business information technology, or related disciplines.
- Minimum 3 years of analysis or development experience in data analytics and BI environments.
- Demonstrated ability to analyze, interpret, and troubleshoot complex problems or processes.
- Experience in supporting and troubleshooting data products, pipelines, and analytical/BI solutions.
- Good understanding of IT systems and data interfaces.
- Basic working knowledge of ITIL processes, ticketing (BMC Remedy), monitoring, and DevOps tools.
- Familiarity with cloud technologies like MS Azure (Data Lake, Data Bricks, ADF, Synapse, Azure Data Warehouse, Python) and Amazon Web Services (AWS).
- Experience with Power Apps is a plus.
- Knowledge of relational databases like Microsoft SQL (SSRS, SSAS, SSIS, stored procedures) and Oracle.
- Familiarity with non-relational databases (MongoDB).
- Must be familiar with a variety of data extraction techniques (ETL, APIs, CDC).
- Experience with analytics/dashboarding tools like Power BI, KNIME, Tableau.
- Experience in SAP environments (SAP BW, SAP DataSphere, SAP SLT) is a plus.
- Experience in setting up data models, data sets, data transformations, data products, performance optimizations, and interfacing with platforms.
- Knowledge of network configurations, IT hardware, and software installations.
- Proficiency in Microsoft Windows and Excel.
- Strong analytical mindset and excellent problem-solving skills.
- Demonstrated ability to interact and communicate collaboratively and effectively with all levels of the organization and external partners.
- Ability to communicate efficiently in English.
- Knowledge of ZF production systems and environments is a plus.
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Specialist - Data & Analytics Support - Hyderabad, India - ZF Group
Description
Req ID Hyderabad, India
As a Level 2 Support/Analyst Engineer, you will be responsible for supporting various analytics solutions, including data ingestion pipelines, APIs, data lake solutions, web-based software and backends, and BI solutions. Your key responsibilities include
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