Senior BI Analyst

The Nature Conservancy•GEO / Remote - Virginia, VA

3d•$85,000 - $125,000•Remote

About The Position

The Senior BI Analyst designs and implements effective data solutions that meet the requirements and strategic objectives of Conservancy business areas, including Finance, Human Resources, and Conservation programs. This collaborative technical leadership role combines analytics expertise with business partnership to guide the strategic use of integrated data, generate insights, and accelerate the Conservancy’s impact. The analyst leads analytics projects of varying scope and complexity, serves as a subject matter expert in assigned domains, recommends improvements to end products, and advances AI-enhanced analytics to improve efficiency, scalability, and data-driven decision-making. The role maintains and enhances a Power BI relational model of conservation program and financial data and metrics, ensuring accuracy and functional integrity for tracking progress against conservation goals and financial measures. The analyst develops technical and process solutions by investigating business questions, building enterprise dashboards, and delivering self-service analytics resources that enable business users to explore and analyze enterprise data. The position is open to remote work in the United States.

Requirements

Bachelor’s degree in a relevant discipline and five years of experience in programming and systems design, or an equivalent combination.
Proficiency with SQL, Databricks (DB SQL), M, DAX, or similar languages, and data manipulation concepts such as table joins and cardinality.
Experience building visualizations and dashboards with Microsoft Power BI, AWS Quick Sight, or a similar BI tool.
Experience leading multidisciplinary project teams to design, document, and implement fit-for-purpose technical solutions.
Ability to communicate technical concepts to non-technical audiences and leadership.
Experience eliciting business requirements and translating desired business outcomes into technical specifications for engineering partners.
Experience with enterprise self-service practices, including data literacy enablement and data governance principles.
Ability to independently prioritize multiple competing demands in a fast-paced environment.
Excellent written and oral communication skills and exceptional customer service skills.
Must meet The Nature Conservancy’s background screening requirements.

Nice To Haves

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.

Responsibilities

Design and implement data solutions that support business requirements and the strategic objectives of Finance, Human Resources, and Conservation programs.
Lead analytics projects of varying scope and complexity and serve as a subject matter expert in assigned domains.
Provide guidance and recommendations on the strategic use of integrated data to generate insights and support Conservancy impact.
Recommend improvements to analytics end products and advance the use of AI-enhanced analytics solutions for efficiency and scalability.
Maintain and enhance a Power BI relational model of conservation program and financial data and metrics, ensuring accuracy and functional integrity.
Investigate business questions and build enterprise dashboards.
Deliver self-service analytics resources that empower business users to explore and analyze enterprise data.
Lead multidisciplinary teams in designing, documenting, and implementing fit-for-purpose technical solutions.
Solicit business requirements and translate desired business outcomes into technical specifications for engineering partners.
Stay current with analytics industry advancements and technologies and evaluate their potential benefits to the Conservancy.
Support data literacy enablement and enterprise self-service analytics practices.