Business Intelligence EngineerWe're looking for a talented Business Intelligence Engineer who can turn data into actionable insights that drive strategic decisions. In this role, you'll extract and analyze data, build reliable pipelines, spot meaningful patterns, and translate complex findings into clear stories that resonate with business stakeholders. You'll need sharp analytical skills, sound judgment, and genuine curiosity about how our business works. Most importantly, you'll collaborate with diverse teams to create centralized data tools that meet different needs, goals, metrics, and risk considerations across the organization.

We want someone who's customer-obsessed and detail-orientedsomeone who can systematically break down complex problems and find solutions.

You should be comfortable leading analytics initiatives, juggling priorities across multiple projects and stakeholders, and thriving in a fast-paced, dynamic environment. You'll join an established analytics team with a strong collaborative culture. You'll work alongside experienced professionals in an environment that encourages innovation and continuous learning.

Key job

responsibilities: Investigate complex business challenges by identifying root causes of delivery gaps and operational inefficiencies while uncovering opportunities to optimize outcomes and improve overall health of business operations

Design and build resilient business intelligence solutions using Redshift, Oracle, and NoSQL databases that maintain accuracy despite data quality variations across multiple platforms and systems

Develop sophisticated data models and ETL pipelines that process large-scale datasets to support rapid business growth and evolving organizational needs

Create optimized SQL queries and data transformation workflows that convert raw data into actionable dashboards tracking key performance indicators, budget metrics, and operational efficiency

Partner with operations teams, stakeholders, and product managers to gather requirements and present performance insights that improve business outcomes

Innovate new metrics and measurement frameworks that capture effectiveness of emerging initiatives and capabilities

Communicate complex analyses on business trends and operational dynamics to stakeholders through clear documentation and presentations

Collaborate across engineering, data science, and business teams to build centralized data tools