Job Summary:
We are looking for an experienced Business Intelligence (BI) Specialist with deep expertise in Kibana, Elasticsearch, and the ELK Stack to help us design, develop, and maintain data visualization dashboards, support data analytics pipelines, and enable data-driven decision-making across the organization.
Key Responsibilities:
Design, develop, and maintain Kibana dashboards to monitor real-time data, KPIs, logs, and performance metrics.
Write and optimize Elasticsearch queries and aggregations for effective data retrieval and analysis.
Collaborate with engineering and operations teams to define metrics and monitoring standards.
Work closely with data engineers to manage and transform data in the Elasticsearch index structure.
Identify data inconsistencies and proactively build alerts, filters, and visualizations to support business needs.
Maintain and improve data ingestion pipelines via Logstash, Beats, or Kafka.
Create documentation, training, and guidelines for end users of BI tools.
Participate in troubleshooting and performance tuning of Elasticsearch and Kibana environments.
Required Skills & Qualifications:
Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, or related field.
Proven experience with Kibana dashboard development (minimum 2 years).
Strong knowledge of Elasticsearch, including mappings, indexing strategies, and query DSL.
Familiarity with Logstash, Beats, or Kafka for data ingestion.
Hands-on experience building visualizations and alerts in Kibana (e.g., TSVB, Lens, Canvas).
Proficient in JSON, YAML, and scripting languages (e.g., Bash or Python).
Understanding of system logs, application logs, and telemetry data structure.
Knowledge of time-series data analysis, metrics, and observability best practices.