Business Intelligence Engineer (Accepting Lead, Senior, and Junior Candidates)

Business Intelligence Engineer (Accepting Lead, Senior, & Junior Candidates for team build out)

Join a high-performing team at a leading institutional asset manager to design and maintain the data reporting infrastructure that powers firm-wide decision-making. This is a hands-on opportunity to lead initiatives that transform how data is collected, analyzed, and used across the organization.

If you thrive at the intersection of data, technology, and business impact, and enjoy building scalable solutions, automating workflows, and applying AI to real-world problems, this role offers a collaborative and entrepreneurial environment where your technical expertise will directly shape outcomes.

Responsibilities

• Architect as well as maintain a centralized data reporting and analytics infrastructure.
• Design, build, and optimize platform as well as applications via Python, SQL Server,
• Develop and maintain Power BI dashboards as well as reporting workflows for investment / client teams.
• Build internal tools and user interfaces to enable employees to access and analyze portfolio and client data.
• Automate recurring workflows such as data cleaning, reporting, and information gathering.
• Deliver actionable insights on the data via powerful visualizations, reporting, and ability to articulate findings to front office as well as other business stakeholders.
• Develop and deploy AI-powered assistants and tools to enhance efficiency across the firm.
• Collaborate across investment, operations, and client-facing teams to understand needs and deliver scalable solutions.

Qualifications

• Strong proficiency in Python and SQL.
• Experience building dashboards with Power BI (or similar tools).
• Hands-on experience and expertise in automating reporting workflows.
• Hands-on experience with modern analytics engineering practices.
• Ability to understand the data and deliver insights to senior stakeholders and front office professionals.
• Excellent problem-solving and communication skills.

Bonus Skills

• Experience with data engineering: ETL, pipelines, workflows, etc.
• Experience with AI/ML frameworks or applied NLP
• Experience building internal apps, APIs, or UIs for non-technical stakeholders.
• Familiarity with cloud-based data platforms (Azure, AWS, GCP).
• Experience mentoring or leading junior team members.