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Associate Engineer – Data Analytics
at vitalhub in Colombo, published on 25 Jan. 2024
Core Responsibilities & Duties
- Utilize SQL to extract, manipulate, and analyze data from multiple databases and sources, providing accurate and insightful reports to stakeholders.
- Assist in the design, maintenance, and optimization of our data warehouse, ensuring data integrity, security, and efficient data retrieval.
- Create interactive and informative dashboards using Grafana, PowerBI enabling stakeholders to gain meaningful insights from complex datasets.
- Collaborate with the DevOps team to streamline data pipelines, automate data integration processes, and ensure smooth data flow between systems.
- Employ analytical methodologies to identify trends, patterns, and opportunities in the data, supporting business decisions with data-driven insights.
- Implement data validation processes to ensure the accuracy and consistency of data, resolving any discrepancies promptly.
- Work closely with other analysts, data engineers, and business stakeholders to understand requirements and provide data solutions to support various projects and initiatives.
- Stay updated with the latest industry trends, tools, and technologies related to data analytics and DevOps, suggesting improvements to existing processes.
Qualifications & Experience
- Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
- Six months to a year of experience in using industry standard tools and techniques in related field.
- Strong proficiency in SQL for data querying, analysis, and manipulation.
- Familiarity with scripting languages (e.g., Python, R), data warehouse concepts, ETL processes, and data modeling principles.
- Experience in creating data visualizations and dashboards using Grafana, PowerBI or similar tools.
- Basic understanding of cloud platforms (e.g., AWS, Azure), DevOps practices and tools for data integration and automation.
- Analytical mindset with the ability to interpret complex data and present insights effectively.
- Strong attention to detail and problem-solving skills in data analysis.
- Understanding of data security and privacy best practices.
- Good communication skills to collaborate with team members and convey technical concepts to non-technical stakeholders.
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