Air, water, food, shelter, income: nature sustains every aspect of our lives. That's why protecting and conserving nature isn't just a matter of common sense. It's the smartest investment we can make.

Since our founding in 1951, The Nature Conservancy has harnessed the power of nature to help solve our planet’s most challenging problems. And while the stakes are high, so is our resolve: to create a world where everyone thrives alongside nature for generations to come.

We do this by working hand in hand with communities around the world. By committing to a science-based, non-partisan approach that’s stood the test of time. And by bringing people together, from all walks of life, to find common ground in nature.

What We Can Achieve Together:

The Senior BI Analyst executes design and implementation of creative and effective data solutions to fulfill the requirements and strategic objectives of Conservancy business areas such as Finance, Human Resources, and Conservation programs. This is a highly collaborative role combining technical expertise and partnership acumen to provide guidance and recommendations in the strategic use of integrated data to illuminate insights and accelerate Conservancy impact. The Senior BI Analyst is technical lead on analytics projects of varying scope and complexity, and subject matter expert in their domains. They make recommendations that improve and strengthen end products and actively advance the Conservancy's application of AI-enhanced analytics solutions to improve efficiency, ensure scalability, and encourage a culture of data-driven decisions.

The Senior BI Analyst maintains and enhances a robust Power BI relational model of conservation program and financial data and metrics to ensure accuracy and functional integrity for measuring conservation progress against goals and financial components. The Senior BI Analyst designs and implements technical and process solutions, including activities such as investigating specific business questions, building enterprise dashboards, and delivering self-service analytics resources that empower business users.

We’re Looking for You:

We’re looking for a curious, results-driven, and team-oriented technical leader who is passionate about data and meticulous about accuracy. The successful candidate is inspired by technical challenges, persistent about effective solutions, and dedicated to continuous improvement of team products and processes. They are a self-starter that thrives in an agile execution environment focused on iteration and responsiveness and are motivated to empower business partners to explore and analyze enterprise data. The successful candidate is dedicated to staying current on analytics industry advancements and new technologies and evaluating them for potential benefits to the Conservancy. This position is open remote in US.

What You’ll Bring:

Bachelor’s degree in relevant discipline and 5 years’ experience in programming and systems design, or equivalent combination.

Proficiency with SQL, Databricks (DB SQL), M, DAX or similar language and data manipulation concepts (e.g., table joins, cardinality).

Experience building visualizations and dashboards with Microsoft Power BI, AWS Quick Sight, or similar BI tool.

Experience leading multi-disciplinary project teams to design, document, and implement fit for purpose technical solutions, including communicating technical concepts to non-technical and leadership audiences.

Experience soliciting business requirements and translating desired business outcomes into technical specifications for engineering partners.

Experience with enterprise self-service paradigm, including data literacy enablement, and data governance principles.

Experience independently prioritizing multiple competing demands in a fast-paced environment.

Excellent written and oral communication skills and exceptional customer services skills.

Desired Qualifications:

Experience analyzing complex system-wide technical specifications and interfaces, troubleshooting and debugging data products, and producing effective user and technical documentation.

Experience working with relational databases, data modeling, data warehousing, and data governance.

Experience incorporating AI tools, such as machine‑learning platforms, natural‑language processing tools, or automation frameworks into analytical workflows.