Data Analyst

Role: Data Analyst

Location: Offshore/India (Bangalore/Hyderabad/Chennai)

Who are we looking for?

We are looking for 5+ 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:

• Three or more years of experience with SRE/Splunk, AIOps, Machine learning and SQL
• ITSI background on Splunk and expertise in Splunk queries
• Exposure to time series databases and modern data engineering frameworks
• Experience with Python for data analytics and pipeline development
• Proficiency in observability tools: Familiar with tools for logging, metrics, and tracing, such as ELK Stack, Splunk and distributed tracing systems.
• Familiarity with OOB dashboards and templates creation. Trying to integrate ITSI to correlate event data for analytics.
• General understanding of distributed systems: To understand the complexities of modern architecture, including microservices, cloud-native environments, and hybrid infrastructure.
• Should have experience with cloud platforms like AWS, Azure, and GCP
• Communication skills, especially for explaining technical concepts to nontechnical business leaders
• Experience in Insurance domain

Key Responsibilities and Skill

• SQL and Splunk queries to filter observability data from splunk and create dashboards
• Setup 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.
• Focus on operational metrics, thresholds, and insight-based dashboards
• Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis
• Designing and Implementing Observability Pipelines: Observability engineers create robust pipelines to collect, aggregate, and analyze data from various sources.
• Data Analytics and Observability: Refine thresholds, understand operational data, relate trace, log metrics, and make sense of the data. Create OOB dashboards and templates for executions. Trying to integrate ITSI to correlate event data for analytics, to group the servers and applications by CIOs, etc. to make sense of the data. Expertise in Splunk queries and customization.
• Documentation and Knowledge Sharing: They create comprehensive documentation for observability systems and processes and share knowledge with other teams .

Qualification:

• Somebody who has at least 5+ 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