Specialist - Data & Analytics Support.

Found in: Talent IN C2 - 2 weeks ago

Hyderabad, India ZF Group Full time

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

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.

Profile:

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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