A Data Analytics Engineer is responsible for helping to bridge the gap between business and technology. Utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals, businesses, and organizations make better decisions.
Collaborate with stakeholders, and team members to understand the analytics needs of the domain, define successful analytics outcomes, and fulfill those needs.
Partner with the product team and engineering team to define triggers and collect the right data to fit the demand of stakeholders.
Design, deploy and develop data pipelines that extract, transform, and load data from various sources
Develop and maintain databases, and data systems – reorganizing data in a readable format
Filter Data by reviewing reports and performance indicators to identify and correct code problems
Develop ETL processes to automate data ingestion and ensure data quality.
Perform descriptive analysis to provide valuable and actionable insights for stakeholders‘ businesses.
Prepare reports for the management stating trends, patterns, and predictions using relevant data.
Prepare final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to make important decisions based on various facts and trends.
Participate in code reviews to ensure that our solutions are of high quality and follow best practices.
Stay up-to-date with the latest trends and technologies in data analytics and continuously improve your skills and knowledge.
Yêu Cầu Công Việc
Your Skills and Experience
Bachelor‘s degree in Business Administration, Economics, Information Technology...
Have from 2 to 3 years of experience in the same position
Have experience with at least 1 of these domains: retail, supply chain, fintech, insurance
Strong proficiency in SQL and experience with ETL processes and data modeling.
Have a product mindset, can understand product model and translate it to dashboard
Deep knowledge of data management, metadata, data quality, and data governance
Good use with PowerBI or Data studio
Excellent communication and collaboration skills to work effectively with cross-functional teams.
Highly motivated team player with the ability to work on multiple projects simultaneously.
Self-starter with experience in a fast-paced, multitask-oriented environment, flexible to changing priorities and multiple tasks within tight deadlines.