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Data Analyst Engineer Jobs in Washington (NOW HIRING)

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Associate degree in Data Analytics, Engineering, Information Systems, or related field. * 4 years of relevant experience, or 3 years with a Bachelor's degree. * CAP Essentials certification preferred.

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Associate degree in Data Analytics, Engineering, Information Systems, or related field. * 4 years of relevant experience, or 3 years with a Bachelor's degree. * CAP Essentials certification preferred.

Programming Languages: Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation. Data ...

Provide comprehensive data analysis services, including database management, data cleaning and preparation, statistical analysis, programming, and visualization to support project activities.

Provide comprehensive data analysis services, including database management, data cleaning and preparation, statistical analysis, programming, and visualization to support project activities.

Provide comprehensive data analysis services, including database management, data cleaning and preparation, statistical analysis, programming, and visualization to support project activities.

An Engineer, 2 has broad knowledge of engineering procedures and assists in the resolution of ... The Data Analyst supports enterprise priorities across multiple business lines and contributes ...

An Engineer, 2 has broad knowledge of engineering procedures and assists in the resolution of ... The Data Analyst supports enterprise priorities across multiple business lines and contributes ...

An Engineer, 2 has broad knowledge of engineering procedures and assists in the resolution of ... The Data Analyst supports enterprise priorities across multiple business lines and contributes ...

In this role, you will leverage data analytics, business intelligence, and reporting expertise to ... engineering languages. * Design, develop, and maintain QlikView and Qlik Sense applications ...

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field * Minimum 10 years of professional experience in data science or advanced analytics * Experience with ...

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

Data Analyst

Washington, DC · On-site

$115K - $125K/yr

Experience or working knowledge of data engineering principles, data science methodologies, and process automation and optimization techniques * Proven ability to analyze complex datasets and ...

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Data Analyst Engineer information

See Washington salary details

$38.5K

$93.6K

$154K

How much do data analyst engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data analyst engineer in Washington is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 per year, depending on experience, location, and employer.

How do Data Analyst Engineers typically collaborate with other teams to deliver insights?

Data Analyst Engineers often work closely with cross-functional teams such as product managers, software engineers, and business stakeholders. They gather requirements, interpret business needs, and translate them into technical data solutions. Effective communication and regular meetings are key, as Data Analyst Engineers must ensure their analyses align with team objectives and that data-driven insights are actionable. This collaborative environment not only enhances project outcomes but also provides valuable exposure to different perspectives and business strategies.

What is the difference between Data Analyst Engineer vs Data Engineer?

AspectData Analyst Engineer
Primary FocusCombines data analysis with engineering tasks to prepare and analyze data for insights
Skills & CertificationsData analysis, SQL, Python, data visualization, some data engineering tools
Work EnvironmentCollaborates with data teams, business units, often in analytics or product teams
Tools & TechnologiesSQL, Python, R, BI tools, ETL pipelines

While Data Analyst Engineers focus on analyzing and preparing data for insights, Data Engineers primarily build and maintain data infrastructure. Data Analyst Engineers bridge analysis and engineering, making them versatile for data-driven decision-making.

What is a Data Analyst Engineer?

A Data Analyst Engineer is a professional who combines the skills of data analysis and data engineering to collect, process, and analyze large datasets. They design and maintain data pipelines, ensure data quality, and use analytical tools to extract actionable insights from data. Their work supports business decision-making by providing clear, data-driven recommendations. Data Analyst Engineers often collaborate with data scientists, software engineers, and business stakeholders to optimize data workflows and reporting.

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

To thrive as a Data Analyst Engineer, you need a solid background in statistics, data modeling, and programming languages such as Python or SQL, often backed by a degree in computer science, mathematics, or a related field. Proficiency with data visualization tools (like Tableau or Power BI), database management systems, and certifications such as Microsoft Certified: Data Analyst Associate are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data insights and collaborate with stakeholders. These skills ensure accurate data analysis, impactful reporting, and alignment with business objectives.
What are popular job titles related to Data Analyst Engineer jobs in Washington? For Data Analyst Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Analyst Engineer jobs in Washington look for? The top searched job categories for Data Analyst Engineer jobs in Washington are:
Infographic showing various Data Analyst Engineer job openings in Washington as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $93,598 per year, or $45 per hour.
Senior Conservation Data Analyst/Engineer - R4458

Senior Conservation Data Analyst/Engineer - R4458

World Wildlife Fund, Inc.

Washington, DC

$97K - $122K/yr

Full-time

Posted 26 days ago


Job description

Company Description

Since our founding in 1961, WWF has been committed to protecting nature and its resources. We understand that nature is our planet's greatest asset, intrinsically linked to human survival - and that it needs our help. Our work to reverse nature loss and conserve biodiversity has never been more urgent.

As the world's leading conservation organization-with offices on six continents and in nearly 100 countries-our global reach includes the world's most critical forests, river systems, wetlands, savannas, and ocean habitats. By conserving these places and supporting sustainable livelihoods within them, we can keep the Earth in balance for people, wildlife, and the planet.

Job Description

Major Function 

Help WWF revolutionize the way we use data and technology toidentifyconservation opportunities and measure andmonitorthe impacts of our conservation efforts. The Senior Conservation Data Analyst/Engineer will work with the Global Science team and the WWF network to analyze and maintain environmental and socio-economic data including, but not restricted to, WWF acquired data, government supplied data, commercially acquired data sets, and remotely sensed and in-situ spatial data. The Senior Conservation Data Analyst/Engineer will have broad experience with statistics, data visualization, data management, cloud-based data analysis infrastructures, and current data delivery mechanisms.Understanding ofconservation issues on global and local scales is an asset, as is experience working with multiple organizations to harmonize data and data management approaches. The key roles of the data analyst/engineer are to analyze and visualize existing data, work with WWF teams (including Global Science)in developing new analysis approaches, implement methodologies, anddevelop and maintain data storage and management systems, analysis pipelines, and visualization platforms.This position will be responsible for contributing to the advancement of automated and semi-automated approaches for efficient and responsive geospatial data processing and analyses for key conservation metrics.  

Key Responsibilities 

  • Support the development and application of data analysis and visualization methodologies and pipelines with the WWFscientistsand program managers. 

  • Manage product and projects to deliver key outputs including the Conservation Navigator 

  • Perform analyses for select projects; apply advanced statistical and spatial analysis and programming as needed. 

  • Manage GIS software licensing and distribute software licenses to all users in the Network. 

  • Coordinate with software vendors to obtain and renew licenses and to handle support requests. 

  • Maintain data repositories, including GIS servers (e.g., Google Earth Engine, ArcGIS Enterprise, and ArcGIS Online) by keeping software up to date. Maintain knowledge of other data platforms, including cloud-based platforms (e.g., AWS, Google Cloud, Azure) and cloud-based relational databases for use as needed. 

  • Develops and maintains data storage management systems, analysis pipelines, and visualization platforms to support conservation data needs. 

  • Collaborates with WWF teams to develop and implement new analytical approaches and methodologies. 

  • Analyzes and visualizes environmental and socioeconomic data to support decision-making and conservation outcomes. 

  • Evaluates and applies new developments in technology, data analysis and open-source tools for analysis and data visualization (e.g.D3.js, QGIS, AI). 

  • Other duties as assigned. 

Qualifications

Key Competencies  

  • Analytical thinking 

  • Data Communication and Visualization 

  • Project ownership 

  • Problem solving in complexity 

Skills and Abilities 

  • 6 years of professional experience in data analysis or data engineering, or 3 years with an advanced degree in GIS, geography, computer science, data science, environmental science (with a quantitative focus), or a related field. Demonstrated experience applying analytical or engineering skills in a geospatial context is strongly preferred. 

  • Proficiency in data Python and/or R for data analysis and automation. Working knowledge of JavaScript for web mapping applications.  

  • In day-to-day work, ability to routinely automate geospatial analyses, data processing, and reporting using tools such as ArcGIS, QGIS, Python, or others, rather than relying on manual workflows. 

  • Working knowledge of cloud-based platforms for data storage, processing, and analysis. 

  • Comfort using AI-assisted workflows, including large language models (LLMs) or AI coding tools to help write code, automate repetitive geospatial tasks, or accelerate data processing pipelines. Experience with AI tools in an ArcGIS or Python environment is a plus, curiosity and a willingness to grow with these tools is important 

  • Experience with conservation,biodiversity,or ecology projects is an asset. 

  • Exposure to and familiarity with environmental or spatial modeling concepts and familiarity with preparing model inputs and interpreting outputs. Solid project management skills with the ability to produce high quality work under time constraints. 

  • Proven ability to work collaboratively in a matrixed team environment. 

  • Excellent interpersonal skills requiring knowing when to use courtesy,tactand/or diplomacy to effectively communicate with all constituents. 

  • Ability todemonstrateintegrity in deliverables, behavior, and demeanor. 

  • Ability to show respect for the organization, the work, the team, and self. 

  • Committed to building and strengthening a culture of inclusion within and across teams. 

  • Identifies and aligns with WWF's core values: 

    COURAGE - We demonstrate courage through our actions, we work for change where it's needed, and we inspire people and institutions to tackle the greatest threats to nature and the future of the planet, which is our home. 

    INTEGRITY - We live the principles we call on others to meet. We act with integrity, accountability, and transparency, and we rely on facts and science to guide us and to ensure that we learn and evolve. 

    RESPECT - We honor the voices and knowledge of people and communities that we serve, and we work to secure their rights to a sustainable future. 

    COLLABORATION - We deliver impact at the scale of the challenges we face through the power of collective action and innovation. 

Additional Information

Due to the high volume of applications we receive, we regret that we are unable to respond to phone inquiries.

Please note: Applicants must be legally authorized to work in the U.S. This position is not eligible for employment visa sponsorship. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  

Relocation is not provided for this position.

World Wildlife Fund (WWF) promotes equal employment opportunities for all qualified individuals regardless of age, race, color, sex, religion, national origin, disability, veteran status, or any other characteristic protected under applicable law.