Risk Business Intelligence Engineer

Job description

DESCRIPTION

Are you interested in guiding key business decisions and solving dynamic fast-paced challenges? We are looking for a Business Intelligence Data Engineer to join our team who is innovative, results-oriented, and enthusiastic about solving dynamic challenges, working with ambiguous data, looking around corners, spotting trends, and naturally curious to learn more.
In this role, you will create innovative solutions, support operational improvements through data support, and recommend data outputs for key business decisions. Additionally, you will dive deep to extract, analyze, and verify ambiguous data for key reporting to internal and external parties.

Responsibilities:
· Use data warehousing technical components (such as RedShift, ETL, SQL) to build efficient, flexible, extensive, and scalable data solutions.
· Create innovate solutions to support operational improvements.
· Design, implement, and support a platform that can provide ad-hoc access to large datasets.
· Build solutions that can be used repetitively for business decisions.
· Optimize existing queries and processes.
· Identify and verify data attributes across various Amazon platforms.
· Interact with business partners to identify and suggest data attributes for data requests.
· Source, extract, and analyze data from multiple sources.
· Provide written documentation of process and change management for audit purposes.
· Provide insight into the business by create metrics.
· Perform data analysis on ambiguous data to identify trends and anomalies.
· Contribute to technical specifications for automation projects.

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering).
· 5+ years of hands-on and proficient experience in writing complex, highly-optimized SQL queries across large data sets.
· Demonstrated strength in data modeling, ETL development, and Data Warehousing.
· Proven experience with Redshift, Oracle, etc.
· 2+ years of relevant experience in one of the following areas: Data engineering, database engineering, business intelligence, or business analytics.