Data Analyst

دبي - الإمارات

الراتب شهرياً: لم يكشف

تاريخ النشر: 08-11-2025

عدد الوظائف الشاغرة: 1 عدد الوظائف الشاغرة

سجل للتقديم

ملخص الوظيفة

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.

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 data...

About the Role

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