Business Intelligence Software Engineer at NFT Consult

To manage our clients growing Technology needs, the firm is inviting applications from talented Business Intelligence Engineers to join its competitive team of engineers.

The successful candidate will have an opportunity to participate in our share ownership plan.

Business Intelligence Software Engineer Job Responsibilities

• Coordinate with customers and Business Analysts to determine business data reporting and analysis requirements.
• Assist in business report generation to internal and external customers for business decision making.
• Support Database Administrators and Developers to build data warehousing systems for business intelligence, reporting and analytics.
• Assist in data administration, modelling and integration activities in data warehouse systems.
• Implement business intelligence solutions to achieve data reporting and analysis goals.
• Support the development of business intelligence standards to meet business goals.
• Coordinate with the business units to identify new data requirements, analysis strategies and reporting mechanisms.
• Assist in design and generation of reports in timely and accurate manner.
• Work with the business units to improve business operations.
• Train and guide the junior engineers in data reporting and analytical skills.
• Recommend enhancements and modifications to optimize business intelligence processes.
• Address business intelligence queries and issues in a timely fashion.
• Create and execute project plans within allotted budget and timelines.
• Maintain documentations for all business intelligence processes.

Qualifications for the Business Intelligence Software Engineer Job

• Bachelor’s degree in Computer Science, Information Systems, Business Management, Mathematics or specialized training/certification. Or equivalent work experience.
• Typically requires 1 or more year of related technical experience.
• Experience supporting a major system.
• In-depth knowledge of the industry and multiple business functional areas.
• Expert skills in data analysis and data mining.
• Hands-on experience supporting or working with Business Intelligence/Data Warehousing environments.
• Experience leading teams