Senior Business Intelligence Developer

About Eleven Recruiting

We are a specialized technology staffing agency supporting professional and financial services companies. Why do we stand out in technology staffing? We listen and act as advisors for our candidates on how they can best add value, find interesting projects, and pave a path for career advancement. We advocate for best pay, diversity in tech, and best job-fit for every candidate we place.

Our client, a global investment firm, is seeking a Senior Business Intelligence Developer to join their team in Manhattan Beach, CA! In this role, you will lead the creation of scalable Power BI dashboards, data models, and ETL processes. This position requires deep technical expertise, a focus on automation, and the ability to work closely with stakeholders to ensure data solutions meet business needs.

Responsibilities:

• Design, develop, and deploy advanced Power BI dashboards and reports with a focus on automation and performance.
• Build and optimize data models, DAX calculations, and Power Query transformations.
• Automate ETL pipelines, data refresh schedules, and integrations with SQL and cloud data sources.
• Collaborate with investment, operations, and finance teams to translate business requirements into technical solutions.
• Implement data governance, security, and performance tuning for BI solutions.
• Support and mentor junior BI developers, ensuring adherence to best practices and coding standards.
• Troubleshoot and resolve technical issues related to BI reporting and data sources.
• Continuously evaluate and enhance BI architecture, recommending new technologies or processes.

Qualifications:

• Bachelor's degree in Computer Science, Data Engineering, or related field (Master's preferred).
• 5+ years of experience in BI development, with at least 3 years focused on advanced Power BI solutions.
• Expertise in Power BI, DAX, Power Query (M), and data modeling techniques.
• Proficient in SQL development, query optimization, and database design.
• Experience with data warehouse concepts, ETL processes, and automation tools.
• Familiarity with Azure Data Factory, Data Lake, or other cloud-based data platforms.
• Strong problem-solving skills and ability to optimize large datasets for performance.
• Excellent communication skills for working with both technical teams and non-technical stakeholders.

Preferred Qualifications:

• Background in investment management, private equity, or financial services.
• Experience with Python, R, or other programming languages for advanced analytics.
• Knowledge of APIs and data integration with third-party systems.
• Experience with CI/CD pipelines for BI deployments.