Junior Data Specialist

Responsibilities:

Perform data cleaning, preparation, reporting, and data analysis

Assemble large, complex sets of data that meet non-functional and functional business requirements

Perform data extraction, aggregation, and quality checking from multiple sources and tables in support of trend identification, root cause analysis, and validation of the performance measures

Support development and maintenance of a data pipeline and data warehouse

Support troubleshooting data pipeline and data warehouse issues

Create and maintain optimal data pipeline architecture

Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it

Design data integrations and data quality framework

Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues

Qualifications:

Graduate of BS Mathematics, Computer Science, Information Management, Information Technology or Statistics

Has at least 5 years of experience in data engineering in a customer or business facing capacity

A strong understanding of data modelling, data structures, databases, and ETL processes

Strong technical understanding of Data Analytics concepts, data warehouses and marts reporting and visualizations

Experience using data extraction and analysis tools, such as SQL and Python

With at least one year experience in Power BI

Technical expertise regarding data models, database design, ETL development, and data mining

With skills in predictive modeling

General understanding of ETL/ELT frameworks, error handling techniques, data quality techniques and their overall operation

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

Possess excellent oral and written communication and interpersonal skills