Data Analyst- Philippines
Splash Software LLC
Date: 21 hours ago
City: Remote
Contract type: Full time
Remote
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
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.
- 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.
- Fluency in English is a must.
- Stable Internet Connection and Reliable PC/ Laptop.
- 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.
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