SIAM Data Analyst

Role: SIAM Data AnalystLocation: Offshore/India (Bangalore/Chennai/Hyderabad)Experience : 5+ yrs to 9 yrsAvailability : Immediate to 30 DaysWe are looking for 5+ plus years’ experience Data Analyst, who would leverage powerfully insightful data to inform our systems and solutions, and we’re seeking an experienced pipeline-centric data engineer to put it to good use in building out ETL and Data Operations framework (Data Preparation / Normalization and Ontological processes).Technical Skills:- 5–7 years of experience in data roles such as Data Analyst, Analytics Engineer, or Data Scientist - Expertise in Splunk queries - Familiarity with Python or another scripting language for data analysis and automation - Well versed in ServiceNow IT Service Management (ITSM), IT Operations Management (ITOM), Customer Service Management (CSM) capabilities - Strong communicator who can collaborate effectively with technical and non-technical stakeholders - Communication skills, especially for explaining technical concepts to nontechnical business leaders - Strong business acumen and the ability to translate complex data into clear recommendations - Ability to work on a dynamic, research-oriented team that has concurrent projects - Should have experience with cloud platforms like AWS, Azure, and GCP - Data analysis and visualization skills: analyze telemetry data to identify trends and patterns and create visualizations to communicate insights. - A focus on impact - you don’t stop with just recommendations but ensure to see work through to changing the business and driving enterprise value - Professional certification in Data Analytics tools preferably - General understanding of distributed systems - Experience in Insurance domain preferableKey Responsibilities and Skill- Looking for a Senior Data Analyst for data team to help build a strong foundation for decision-making across the company, work closely with cross-functional stakeholders in Product, Engineering, and Finance to turn data into actionable insights and improve how we operate at scale - Build trusted, scalable data models that serve as the foundation for analytics and reporting across the company - Partner with stakeholders across product, design, engineering, and finance to uncover insights and support strategic initiatives - Develop clear reporting and dashboards to drive performance visibility and accountability across teams - Conduct in-depth analyses to evaluate feature usage, business performance, and customer behavior - Set up thresholds and tweak existing ones to ensure relevant s are reported - Build OOB dashboards and templates. To group the servers and applications by CIOs, etc, to make sense of data and customized working with Splunk. - Monitoring and ing: Establish monitoring systems and s to detect anomalies and performance issues in real-time.Qualification:- Somebody who has at least 10 plus years of work experience who has played Data Analyst role. - Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related discipline - Education qualification: Any degree from a reputed college

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