Lead Data Analytics Engineer

Important Information

Experience: 6+ years

Job Mode: Full-time

Work Mode: Remote

Job Summary

As a Lead Data Analyst, you will be responsible for acquiring data from primary and secondary sources, maintaining databases/data systems, interpreting data using statistical techniques, and providing ongoing reports. You will play a vital role in developing and implementing databases, Data Collection Systems, and Data Analysis processes.

Responsibilities and Duties
 Acquire data from primary or secondary sources and maintain databases/data systems
 Analytics Engineering
 Understanding of ETL methodologies and Data Quality principles, approaches, technologies, and architectures including the concepts, designs, and usage of data warehouses and data marts.
 Advanced complex SQL knowledge and experience.
 Strong knowledge of data visualization tools like Power BI and Tableau.
 Strong knowledge of data validation techniques and processes.
 Knowledge of RDBMS, database engineering, data modeling, ETL, data lake house, and data warehousing.

Qualifications and Skills
 Bachelor's or master's degree in Data Science, Statistics, Computer Science, or a related field
 Minimum of 6 years of experience in data analysis, consulting, or quantitative analysis to solve problems
 Technical expertise in data modeling, database design, data extraction, and segmentation techniques
 Experience with data visualization tools like Tableau or PowerBI
 Ability to gather, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
 Excellent project management skills and the ability to focus on the big picture

Role-specific Requirements
 Technologies: Tableau, PowerBI, SQL, Data Visualization and Reporting, understanding of Data Modelling

About Encora

Encora is the preferred digital engineering and modernization partner of some of the world's leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora's technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
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