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Data Analyst
Job Location:
Monthly Salary:
Posted:
7 August 2026 (1 hour ago)
Posted:
Application Deadline:
5 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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.
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
