[Hiring] Senior Analyst @The Nature Conservancy

Role Description

The Senior Analyst develops and implements advanced reporting, analytics, and AI‑enhanced solutions to guide The Nature Conservancy’s fundraising strategies. Collaborating closely with Membership Acquisition and Strategy teams, they deliver data‑driven and machine‑assisted insights to solve business challenges and achieve strategic goals. The Analyst stays current on market trends and best practices, including advancements in artificial intelligence, predictive modeling, and automation, to continuously enhance services. They assess complex situations, evaluate alternatives, and design and implement processes that improve program effectiveness.

The Senior Analyst will work towards implementing analytical solutions for the initiative, including:

• File Health Analysis
• Predictive models
• Ask-string optimization algorithms
• Donor profiling
• Segmentation Analysis
• Design of Experiments/Multi-Factor Test Design
• Donor Lifetime Value Analysis
• Multi-year Revenue Forecasting
• Use of AI tools for anomaly detection, marketing optimization, and workflow automation

The Analyst will develop and coordinate plans and related tactics, and complete and coordinate diverse complex tasks and activities. They will analyze and report to leadership on key data, utilizing appropriate tools for the request or project. The Analyst will perform complex analysis of key organizational data and recommend focus for analysis. They will develop and maintain information systems to support program needs. They will provide advice and recommendations related to the functional area. The Analyst maintains expert knowledge in systems and resources, applying knowledge to coordinating organizational support and communications. They will have substantial contact with stakeholders and will serve as the lead liaison with leadership. They take on additional duties which may include, but are not limited to, designing and leading training initiatives, managing documentation, and/or enhancing resources.

Position location is negotiable within The United States. Washington, DC metro area preferred.

Qualifications

• Bachelor’s degree in quantitative field and 6 years related experience or equivalent combination.
• Experience designing and generating reports, and analyzing and interpreting the data.
• Experience working with teams across organization.
• Experience with accounting, finance, and direct marketing programs.
• Experience manipulating relational data.
• Experience with SQL and data warehousing tools.
• Experience with OLTP and dimensional data models.
• Experience with Excel, including macros and pivot tables.
• Experience with statistical software package (SAS, Python, R or similar) and building predictive models.
• Experience incorporating AI tools, such as machine‑learning platforms, natural‑language processing tools, or automation frameworks into analytical workflows to improve efficiency, insight generation, and decision‑making.
• Experience, coursework, or other training in principles, practices, and procedures of relevant field.

Requirements

• The starting pay range for a candidate selected for this position is generally within the range of $95,500 – $142,000.
• This range only applies to candidates whose country of employment is the USA.
• Where a successful candidate’s actual pay will fall within this range will be based on a variety of factors, including, for example, the candidate's location, qualifications, specific skills, and experience.
• Please note countries outside the USA would have a different pay range in the local currency based on the local labor market, and not tied to USA pay or ranges.
• Your geographic location will be confirmed during the recruitment.

Benefits

• Competitive, comprehensive benefits package including health care benefits.
• Flexible spending accounts.
• 401(k) plan with an 8% employer match.
• Parental leave.
• Accrued paid time off.
• Life insurance.
• Disability coverage.
• Employee assistance program.
• Other life and work well-being benefits.