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Wildlife Conservation Data Analyst Jobs (NOW HIRING)

The Water Conservation Data Analyst plays a crucial role in our mission to protect and sustain our water resources. As a key team member in the Water Conservation Department, you will use data ...

Veterinarian

New York, NY

$110K - $130K/yr

As the world's premier wildlife conservation organization, WCS has a long track record of achieving ... data. * Perform gross post-mortem examinations on deceased collection fish and invertebrates and ...

Description CEHMM a 501(c)3 non-profit conservation and environmental services organization, is ... wildlife, plants, and habitats * Ability to collect accurate field data and maintain organized ...

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Wildlife Conservation Data Analyst information

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$34K

$82.6K

$136K

How much do wildlife conservation data analyst jobs pay per year?

As of Aug 3, 2026, the average yearly pay for wildlife conservation data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Wildlife Conservation Data Analyst, and why are they important?

To thrive as a Wildlife Conservation Data Analyst, you need strong analytical skills, a background in biology or environmental science, and proficiency in statistics, often supported by a relevant degree. Familiarity with data analysis software like R or Python, GIS tools, and database management systems is typically required. Attention to detail, effective communication, and problem-solving skills are crucial for interpreting data and collaborating with conservation teams. These skills ensure accurate analysis and actionable insights that drive effective conservation strategies and policy decisions.

How does a Wildlife Conservation Data Analyst typically collaborate with field researchers and conservation teams?

Wildlife Conservation Data Analysts work closely with field researchers by processing and interpreting data collected in the field, such as animal movement patterns, habitat utilization, and population trends. They regularly communicate findings and provide actionable insights to conservation teams, helping to inform management decisions and conservation strategies. Collaboration often involves regular meetings, sharing data visualizations, and contributing to interdisciplinary projects to ensure that data-driven recommendations are practical and aligned with conservation goals.

What does a Wildlife Conservation Data Analyst do?

A Wildlife Conservation Data Analyst collects, processes, and interprets data related to wildlife populations, habitats, and conservation efforts. They use statistical tools and software to analyze trends, assess the effectiveness of conservation programs, and help inform policy decisions. Their work is essential for understanding the impact of environmental changes and human activities on wildlife, enabling organizations to make data-driven decisions for species protection. Analysts often collaborate with biologists, ecologists, and governmental agencies to develop strategies for preserving biodiversity.

What is the difference between Wildlife Conservation Data Analyst vs Wildlife Biologist?

AspectWildlife Conservation Data AnalystWildlife Biologist
Required CredentialsBachelor's or Master's in Ecology, Data Science, or related fieldsBachelor's or Master's in Biology, Ecology, or related fields
Work EnvironmentData-focused roles, offices, research centersFieldwork, laboratories, research sites
Employer & Industry UsageEnvironmental agencies, NGOs, research institutionsUniversities, government agencies, conservation organizations
Common Search & ComparisonData analysis, conservation data, ecological modelingWildlife research, species monitoring, habitat studies

The Wildlife Conservation Data Analyst primarily focuses on analyzing ecological data to support conservation efforts, often working in offices or research centers. In contrast, the Wildlife Biologist conducts field research and studies animal behavior and habitats. Both roles are vital in conservation but differ in their core activities and work environments.

More about Wildlife Conservation Data Analyst jobs
What cities are hiring for Wildlife Conservation Data Analyst jobs? Cities with the most Wildlife Conservation Data Analyst job openings:
What states have the most Wildlife Conservation Data Analyst jobs? States with the most job openings for Wildlife Conservation Data Analyst jobs include:
Infographic showing various Wildlife Conservation Data Analyst job openings in the United States as of July 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Water Conservation Data Analyst

Summary

Vail, CO • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

The Water Conservation Data Analyst plays a crucial role in our mission to protect and sustain our water resources. As a key team member in the Water Conservation Department, you will use data analysis to support water conservation goals, create water-saving strategies, and help shape a sustainable future for our community. You will support programs to manage water use across our customer types and influence conservation through data-driven insights. 

We’re seeking an individual passionate about using data in an environmental sustainability and water conservation setting. If you thrive on data analysis, enjoy collaborating with diverse teams, and are excited about creating positive change, this role could be a perfect fit. 

Why work for us? The work you will do as a Water Conservation Data Analyst will allow you to make a real difference in creating a sustainable future for the community where we live, work and play. In addition, we offer excellent health benefits, a housing program, and opportunities for training and development.  

Day to Day Responsibilities: 

  • Data Analysis & Evaluation: Use data to support business decisions about water conservation and other internal initiatives and track the impacts resulting from our work. Lead sophisticated statistical analyses of water use to refine conservation needs and understand how factors such as outreach, weather, and rates affect customers' water use. 
  • Statistical Modeling & Forecasting: Build regression and time-series models to quantify how weather, rate changes, and outreach affect water use, and forecast future demand and revenue under different rate and conservation scenarios. 
  • Data Engineering & Tooling: Develop and maintain reproducible data pipelines, analysis scripts, and interactive tools (R, Quarto, Shiny) using version control, and audit and QC source data for accuracy before it drives analysis, reporting, or billing. 
  • Data Management & Visualization: Develop and manage interactive dashboards, charts, and reports in Power BI and Shiny to communicate key findings internally and for the public. 
  • Cross-Functional Collaboration & Support: Partner with departments across the organization to design customer communications and support water conservation and rate initiatives. Serve as a subject-matter resource on water-use data and analysis for other teams and leadership and help onboard and mentor interns and analysts on tools, methods, and best practices. 
  • Communication & Storytelling: Translate complex analyses into clear narratives and visuals for non-technical audiences, present findings at internal meetings, town halls, and stakeholder sessions, and respond to occasional technical customer inquiries about water use, bills, and rates. 
  • Research, Reporting & Documentation: Apply best practices in water conservation and data-driven rate structures, and maintain SOPs, reports, records, and documentation so analyses and processes remain reproducible and transferable across the team. 

Qualifications and Competencies: 

  • Education & Experience:  
    • Bachelor's degree from an accredited college or university with significant course work in environmental science, conservation, biological science, hydrology, data analysis, or related fields, AND 
    • Minimum two years of professional experience in a data analysis-heavy field, OR any combination of experience and training that would provide the required knowledge and abilities. 
  • Problem Solving: Use critical thinking to address data discrepancies, quality-check datasets, and support solution development through comprehensive analysis. 
  • Teamwork: Ability to work across all departments and manage workloads. 
  • Project management skills 

Required Technical Skills: 

  • Data Modeling: Advanced skills in querying, data extraction, transformation, aggregation, and optimization 
  • Programming and Analysis: Experience with R and R Studio/VS Code for data manipulation, statistical analysis, and modeling 
  • Statistical Software and Libraries: Proficiency in statistical software and libraries (e.g., pandas in Python, dplyr in R) for advanced data manipulation and analysis. 
  • Git: Ability to incorporate Git version control into workflows for reproducible code, CI/CD DevOps, and collaboration amongst data colleagues. 
  • Excel: Strong foundational Excel skills for supplemental analysis (Pivot Tables, Conditional Formatting, Index Match, Data Validation). 

Nice to Have Skills: 

  • SQL Server (Data Warehousing, ETL) 
  • APIs and Data Integration: Ability to use APIs to integrate data from external sources. Power Platform 
  • Experience using Virtual Machine (VM) Environments 
  • Python 
  • Docker 
  • Data Security and Compliance: Understanding of data governance, privacy, and security best practices, including compliance with CISA (Cybersecurity and Infrastructure Security Agency) standards. 

The Schedule  

This position is expected to work a hybrid schedule, working on-site 2-3 days per week at our office in Vail, Colorado. 

Pay Range 

The salary range for this role is $85,259.20 – $119,329.60. Hiring wage will depend on qualifications and experience. 

We are committed to recognizing andretaininghigh-performing employees and offer performance-based annual merit increases, cost-of-living adjustments, and annual market evaluations. 
Benefits 

At ERWSD, we value life-work balance and are leaders in the industry with our holistic benefits package, which includes but is not limited to: 

  • Comprehensive medical, dental, and vision coverage 
  • Employee housing or $559 monthly housing stipend  
  • Wellness program 
  • Retirement savings plans (414h and 457) – We are a social security exempt organization 
  • 13.5 Paid Holidays 
  • Paid Time Off (PTO) 
  • Paid Parental Leave 
  • $800 Annual Recreation Benefit 
  • Tuition Reimbursement 
  • Loan programs for: Ski Passes, Electric Vehicles, and Computers 
  • Relocation Assistance (if applicable) 

All District employees must possess a valid Colorado Driver License and submit to a pre-employment drug screen, extensive background check including an educational verification, and reference check. For a full position description including work environment and physical demands, emailerwsdjobs@erwsd.org.  
All applicants must apply online atwww.erwsd.orgbyAugust 5, 2026. 

We are an Equal Opportunity Employer 

We do not discriminate based on race, color, religion, national origin, sex, age, disability, sexual orientation, marital status, genetic information or any other status protected by law or regulation. It is our intention that all qualified applicants be given equal opportunity and that selection decisions are based on job-related factors.