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Associate Engineer – Data Analytics Full-time

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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