Job description
Use SQL to build ETL pipeline to extract, transform, and load data from primary and secondary sources to data warehouse.
Support data governance, build and maintain data quality control, data catalogs
Developing and maintaining database schemas for specific business use cases
Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
Developing highly effective dashboards. Preparing reports for the management stating trends, patterns, and predictions using relevant data
Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
Requirements
Strong problem-solving skills with an emphasis on product development.
Proven working experience in data analysis
Excellent experience in data visualization software like Superset, Power BI, Tableau, Power BI, Qlik
Excellent experience with SQL and have a hands-on expertise with relational databases and data warehouse methodologies.
Excellent experience in dbt software is a plus.
Experience with ETL frameworks, Data warehouse, Data lake
Proficiency in story telling with data
Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
Accuracy and attention to detail
Team-working skills
Verbal and written communication skills
A drive to learn and master new technologies and techniques.
Benefits
Fastest growing fintech startup with state-of-the-arts technology
Top notch engineering team
Competitive salary with regular review and advancement
Opportunity to take charge of your own works and directly contribute to company products
Small, young and close-knit team. We move fast, work hard and play hard.