Who are we looking for?We are looking for 10+ 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 ScientistExpertise in Splunk queriesFamiliarity with Python or another scripting language for data analysis and automationWell versed in ServiceNow IT Service Management (ITSM), IT Operations Management (ITOM), Customer Service Management (CSM) capabilitiesStrong communicator who can collaborate effectively with technical and non-technical stakeholdersCommunication skills, especially for explaining technical concepts to nontechnical business leadersStrong business acumen and the ability to translate complex data into clear recommendationsAbility to work on a dynamic, research-oriented team that has concurrent projectsShould have experience with cloud platforms like AWS, Azure, and GCPData 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 valueProfessional certification in Data Analytics tools preferablyGeneral understanding of distributed systemsExperience in Insurance domain preferableKey Responsibilities and SkillLooking 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 scaleBuild trusted, scalable data models that serve as the foundation for analytics and reporting across the companyPartner with stakeholders across product, design, engineering, and finance to uncover insights and support strategic initiativesDevelop clear reporting and dashboards to drive performance visibility and accountability across teamsConduct in-depth analyses to evaluate feature usage, business performance, and customer behaviorSet up thresholds and tweak existing ones to ensure relevant alerts are reportedBuild 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 Alerting: Establish monitoring systems and alerts to detect anomalies and performance issues in real-time.Qualification:Somebody who has at least 10+ years of work experience who has played Data Analyst role.Bachelor's degree (or equivalent) in computer science, information technology, engineering, or related disciplineEducation qualification: Any degree from a reputed college