Data Analyst

About The Role

We are seeking a highly skilled Data Analyst to join our team. The ideal candidate will excel in using data to derive actionable insights, create impactful visualizations, and support decision-making processes across various business functions. This role involves working with large datasets in Elasticsearch and visualizing them in Kibana to monitor performance, identify trends, and ensure data-driven strategies.

Key Responsibilities

• Design, develop, and maintain advanced dashboards and reports using Kibana to visualize key metrics and trends.
•   Analyze large datasets from Elasticsearch to extract actionable insights.
• Identify anomalies, trends, and patterns in data, providing timely alerts and recommendations to stakeholders.
• Collaborate with cross-functional teams to understand business needs and translate them into analytical requirements.
• Develop and implement queries in Elasticsearch to retrieve and process data efficiently.
• Monitor key performance indicators (KPIs) and create models for performance improvement.
• Generate periodic and ad-hoc reports for management and other teams, ensuring accuracy and relevance.
• Document analysis processes, tools, and findings for consistency and reproducibility.
  
  
  

Qualifications

•  Bachelors degree in Computer Science, Data Analytics, Statistics, or a related field.
• Proven experience as a Data Analyst, with expertise in Elasticsearch and Kibana.
• Strong proficiency in data querying and manipulation using Elasticsearch query language (EQL).
• Familiarity with data visualization techniques and tools (e.g., Kibana, Tableau, or Power BI).
• Proficiency in Python, SQL, or similar tools for data analysis and scripting.
•  Strong analytical and problem-solving skills, with attention to detail.
• Excellent communication skills to present findings effectively to technical and non-technical stakeholders.
• Ability to handle and analyze large datasets efficiently.
  
  
  

Preferred Skills

• Experience with log and event data analysis.
• Familiarity with setting up alerts and monitoring mechanisms in Kibana.
• Knowledge of statistical analysis techniques.
• Prior experience in high-volume, real-time data environments is a plus.