Business Intelligence Manager

Job Title: BI Manager Location: Redmond, WA Duration: 12+ Months Must-Have skills for the role: • Stakeholder Management • Program Management • Risk Management • Reporting and Communication • Querying AWS data bases or other DBs to get the information for reporting accurately. Roles and Responsibilities: • As a Business Intelligence Engineer (BIE), you will implement and maintain effective analytics solutions that drive data-informed decisions to streamline satellite production operations. You will focus on building efficient, scalable, and well-documented processes for data analysis and reporting. • You are a customer-obsessed problem-solver who will build effective partnerships across Leo's ecosystem, including hardware, software, supply chain, manufacturing, launch, facilities, transportation, and finance teams. • Your ability to invent and simplify processes will be key to solving day-to-day data needs. • You will use your communication skills to articulate data concepts clearly and collaborate with diverse technical and non-technical stakeholders to deliver results. • You will contribute to the team's engineering excellence by implementing best practices and proactively seeking opportunities to learn and share knowledge. Key job responsibilities • Collaborate with cross-functional and cross-organizational teams to understand business needs and implement data-driven solutions that enable better decision making • Define and track key metrics and performance indicators to monitor performance and drives continuous improvement across Leos's operations. • Execute analytical approaches to uncover new insights and share recommendations that improve productivity • Design and build robust, self-service reporting solutions that scale across the organization • Write complex, performant SQL queries and develop efficient data pipelines to support both recurring and ad-hoc analytical needs • Build and maintain data infrastructure in collaboration with BIEs/DEs, focusing on improving data quality and availability • Communicate analytical findings and methodology to diverse stakeholders through clear documentation and presentations • Lead technical initiatives and actively share knowledge with team members, supporting analytics best practices • Maintain awareness of AI/ML advancements (especially around LLMs and GenAI) and propose new technologies for team consideration