Senior BI Analyst

Role overview Lead the design and delivery of business intelligence solutions that help teams make informed decisions using integrated data. The work spans business areas such as finance, human resources, and conservation programs, combining hands-on analytics development with project leadership and partnership with business stakeholders. You will also help improve self-service analytics and evaluate ways to use AI in analytical workflows.

Responsibilities - Lead analytics projects from business question through technical design, documentation, and implementation. - Maintain and improve relational reporting models for program and financial data, ensuring accuracy and functional reliability. - Build enterprise dashboards and self-service analytics resources for business users. - Gather stakeholder needs and translate desired outcomes into clear technical specifications for engineering partners. - Advise teams on analytics solutions, data use, and opportunities to improve products and processes. - Evaluate AI-enabled analytics approaches for efficiency, scalability, and decision support.

Requirements - Bachelor’s degree in a relevant discipline and at least five years of programming and systems-design experience, or an equivalent combination. - Proficiency with SQL and tools or languages such as Databricks SQL, M, or DAX, plus data manipulation concepts including joins and cardinality. - Experience building dashboards and visualizations in Power BI, AWS QuickSight, or a comparable BI platform. - Experience leading multidisciplinary projects and explaining technical concepts to non-technical stakeholders and leaders. - Ability to prioritize competing work in a fast-paced environment, with strong written, verbal, and customer-service skills. - Familiarity with self-service analytics, data literacy, and data governance principles.

Nice to have Experience with relational databases, data modeling, warehousing, complex system interfaces, and troubleshooting data products. User and technical documentation experience is also useful, as is applying machine-learning, natural-language processing, or automation tools in analytics.

Benefits and work setup The position is open to remote candidates in the US. The stated US starting pay range is $85,000–$125,000, with actual pay depending on location, qualifications, skills, and experience. Listed benefits include health coverage, flexible spending accounts, retirement savings with an 8% employer match, parental leave, paid time off, insurance, and well-being support.