Data Analyst jobs in United Arab Emirates

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

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

Qualifications

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

Preferred Skills

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