Sr Data Analyst - Alpharetta, GA - Day one Onsite - 3 days a week - Locals Only at Alpharetta, Georgia, USA |
Email: [email protected] |
From: sai, o2f [email protected] Reply to: [email protected] 8+ years exp Python, Splunk strong exp Splunk dashboard Nosql or any DB(SQL) exp SDLC and DevOps exp Network background is a plus Agile Bank exp is a plus We are looking for a talented, agile, and self-driven Data Analyst to join the Enterprise Network Services(ENS) Analytics & Insights team. As a Data Analyst, you will be developing analytics solutions for critical IT Asset Management initiatives including Subnet Management, Hardware & Software Inventory Management, Unregistered IP Address Management, etc., leveraging powerful technologies and tools including Python, Splunk, MongoDB, and other modern technologies. This role requires strong collaboration with various stakeholders across ENS teams, prioritizing workload requirements, and executing critical deliverables. This role also requires collaborating with several different technology teams across Enterprise Technology Services, meeting on a regular cadence with stakeholders to provide updates on existing and gather new requirements. Skills Required: Hands-on programmer with a minimum of 5 years of experience in Python programming. Hands-on experience in analyzing complex data sets and building critical business insights Hands-on experience in developing complex dashboards/reports/visualizations using any data visualization tool. Experience in working with SQL & No-SQL databases Strong understanding of SDLC methodology, DevOps concepts Knowledge of basics of Networking (Infrastructure) Experience in working as an Agile Team member with a good understanding of Agile principles. Excellent problem-solving and Communication skills Experience in developing high-performance dashboards using the Splunk tool Ability to analyze volumes of data and develop data insights to support critical business decisions. Ability to build scalable, extensible, and reusable software solutions Keywords: database information technology |
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Mon Mar 18 21:29:00 UTC 2024 |