Groupon is looking for a senior Business Intelligence Engineer to help excel a growing global team responsible for the financial data warehouse.
Located in Chicago and Berlin, the Financial Data Engineering (FDE) team owns the international financial data warehouse, housing Groupon’s international accounting reporting data.
FDE is a guardian of data quality for Groupon’s international revenue data, which encompasses millions of vouchers / units sold.
Besides handling such data volumes securely and reliably, FDE’s ongoing challenge is to integrate Groupon’s ever-changing and improving data landscape into the reporting, being one of the most downstream data teams in the company and, as such, exposed broadly to Groupon’s business and tech infrastructure.
FDE’s main responsibility is maintaining the financial data pipeline / warehouse to provide international accounting with daily financial reports whilst ensuring data quality.
Moreover, the team provides monthly and on-demand financial reports.
FDE Mission is to diligently provide accurate, timely, and complete financial data and reports
Core Responsibilities :
Pro-active data analysis / reconciliation to ensure data quality within the financial data warehouse
Drive and support further automatization of the international financial data pipeline in the data warehouse
Utilize experience and end-to-end knowledge of data warehousing and BI systems (including data architectures in translating business requirements into data models)
Work with business users and data analysts to design and implement data integration flows into the financial data mart in the data warehouse
Design data models and write specifications for the integration of heterogeneous data sources
Advice on and resolve any performance or scaling issue
Desired Skills and Experience :
Love for detail : Being skilled and passionate for in-depth technical data analysis, explaining the last 0.001%
Bachelor’s degree in Computer Science, Mathematics, Econometrics, or proven work experience of at least five years in an academic-level environment
Proficient with one mainstream object oriented programming languages ( e.g. Java, Python)
Flexibility, an independent data-driven working style being both diligent and precise
Strong communication skills, both verbally and written
Outstanding SQL scripting skills
Work experience in the field of Business Intelligence or Information Management
Practice in documentation of (logical) data models
Skills in database ETL with continuous desire to reduce workload by automation
Familiarity with working in a SOX-compliant (or similar) environment
Experience in handling mass data
Proficiency in Talend Data Integration (or comparable ETL tool)
Experience with JIRA (or similar ticketing tool)