Data Analyst

Who are we looking for?

We are looking for 10+ years' experience Data Analyst / Observability Engineer, 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 PowerBI, SQL, and ability to identify data & visualization / exploration tools

Familiarity with the AWS ecosystem

Proficiency in observability tools : They are familiar with tools for logging, metrics, and tracing, such as ELK Stack, Prometheus, Grafana, and distributed tracing systems.

Communication skills, especially for explaining technical concepts to nontechnical business leaders

General understanding of distributed systems : They need to understand the complexities of modern architectures, including microservices, cloud-native environments, and hybrid infrastructure.

Ability to work on a dynamic, research-oriented team that has concurrent projects

Professional certification in Data Visualization, PowerBI and SQL

Experience in Insurance domain

Good to have who knows Japanese language

Data analysis and visualization skills : They can analyze telemetry data to identify trends and patterns and create visualizations to communicate insights.

Scripting and automation : They can automate tasks and create scripts to manage observability infrastructure.

Should have experience with cloud platforms like AWS, Azure, and GCP

Key Responsibilities and Skill

Work closely with data science team to help build complex algorithms that provide unique insights into our data

Use agile software development processes to make iterative improvements to our back-end systems

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

Build data pipelines that clean, transform, and aggregate data from disparate sources

Develop and expand PubSub models and scaling event / messaging architectures

Establish and extrapolate Ontological / Semantic standards

Develop models that can be used to make predictions and answer questions for the overall business.

Designing and Implementing Observability Pipelines : Observability engineers create robust pipelines to collect, aggregate, and analyze data from various sources.

Monitoring and Alerting : They establish monitoring systems and alerts to detect anomalies and performance issues in real-time.

Metric & Instrumentation Standards : Defining common metric standards for every stage of the Application Lifecycle process and Instrumentation standards and scripting including OTel standards alignment

Data Analysis and Visualization : They analyze telemetry data (logs, metrics, traces) to gain insights into system behavior and identify trends.

Incident Response : They investigate and troubleshoot incidents, using observability data to understand the root cause and implement solutions.

Collaboration and Communication : They collaborate with development, SRE, and other teams to ensure observability practices are integrated into workflows and to share insights.

Staying Up-to-Date : They stay current with the latest trends in observability, logging, monitoring, and cloud technologies.

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 10+ years of work experience who has played Data Analyst / Observability Engineer role.

Bachelor's degree (or equivalent) in computer science, information technology, eng