Build analytics systems to process and transform data
Connect to multiple shipping carriers around the world from one API and dashboard
Build a self-serve platform for internal stakeholders and external customers
Build analytics systems to process and transform data of massive scale into valuable operational and business insights for our internal and external customers
Build and maintain the business intelligence infrastructure and tools to present data with the most effective data visualization techniques and artifacts
Ensure that stakeholders are able to digest the insights from the analyzed datasets
Design, develop, scale, and evolve our self-service business intelligence solutions (e.g. Reports / Dashboards / Visualizations)
Utilize business intelligence technologies to convert business needs into effective visualizations, dashboards, and reports.
Improve the data models and data elements that business intelligence tools rely on by working together with data engineering and business teams
This will make data more accessible and encourage data-informed decision-making throughout the organization
Continuously identify opportunities and demands for better data management, quality, and delivery
Communicate and explain findings and suggestions at various levels with a definite bias toward effective learning and outcomes
Be a living example of the company's culture in your daily interactions and work
Promote the use of data to guide decisions
Job Requirements:
Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
At least 3+ years of relevant experience as a software engineer
Strong background in Data and Business Analysis
2+ years of experience working with BI or data engineering
Extensive experiences working with one or more BI platforms, such as Tableau and Looker
Working knowledge of data modeling (for example, dimensional modeling) and data analysis in a data warehouse
Comprehensive knowledge of SQL and the capacity to create and analyze complex SQL queries
Excellent knowledge of database management systems and the ETL (Extract, Transform, Load) framework Quick to pick up new skills and applications
Effective communication, presentation, and problem-solving abilities
Understanding of business processes, best practices, data lifecycles, and standard operating procedures
Thorough knowledge of customer requirements and a drive for client success
Display your commitment to excellence in craftsmanship, ongoing improvement, and team success
Experience working with implementing the ETL process is nice to have
Experience with Python and Looker Platform is desirable
Solid experience with Cloud Data Warehouses like AWS Redshift is preferred
Some knowledge of Source Control(git) and CI/CD pipelines is desirable
Nice to have some experience with advanced data analysis using Machine Learning
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