Lead Business Intelligence Engineer
2 weeks ago
Position: Senior Business Intelligence Engineer
Location: Remote Opportunity
Employment Type: Direct Hire
Compensation: $130,000 - $140,000 plus bonus
Overview:
The Senior Business Intelligence Engineer plays a pivotal role in collaborating with business partners, BI analysts, developers, and IT colleagues to design, implement, and sustain Business Intelligence systems and solutions. Proficiency in Power BI is essential.
Key Responsibilities:
- Promote a robust data culture within the organization.
- Enhance the capabilities and overall value of Business Intelligence.
- Conduct quality control of solutions within the established framework.
- Adhere to best practices in change management and integration management.
- Address IT support tickets and troubleshoot report performance, operability, and accuracy.
- Perform administrative tasks to uphold the current BI environment.
- Manage user access to the BI environment.
- Assist business users in publishing, refreshing, modifying, and removing reports.
- Lead the development of solutions with intricate requirements.
- Support analysts outside of IT in utilizing the enterprise data model to deliver their own solutions.
- Deliver basic reporting solutions as directed by the BI Manager.
- Collaborate with business stakeholders to gather detailed requirements and design effective solutions.
- Assess data needs against available enterprise assets.
- Maintain a comprehensive enterprise data architecture.
Qualifications:
- Minimum of 2-3 years of strong Power BI experience.
- At least 2 years of experience sustaining an enterprise data architecture, such as a common data model or data warehouse.
- 2+ years of experience working with internal stakeholders.
- 2+ years of experience managing the full lifecycle of BI projects and solutions.
- 5+ years of hands-on experience in enterprise data engineering, ETL processes, and data modeling.
- 5+ years of experience with the Microsoft Business Intelligence stack.
- Exceptional leadership and interpersonal skills.
- Able to thrive in a fast-paced, dynamic, customer-facing environment.
- Proficient in prioritizing tasks and managing work across multiple projects.
- Capable of operating within an enterprise data environment, including change and integration management.
- Strong skills in data wrangling using Power Query and M, as well as data modeling and DAX.
- Proficient in data visualization and troubleshooting concepts.
- Experience with SQL Server Management Studio, DAX Studio, Tabular Editor, and ALM Toolkit.
- Comfortable working with row-level and object-level security.
Education:
Bachelor's degree from an accredited institution in a relevant field.
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