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Volunteer Data Analytics Engineer Jobs (NOW HIRING)

Data Analytics Engineer

Austin, TX ยท On-site

$108K - $129K/yr

The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data pipelines, analytics platforms, and reporting solutions that enable data-driven decision making ...

Data Analytics Engineer

Spring, TX ยท On-site

$96K - $116K/yr

Data Engineer / Analytics Engineer Location: Spring, TX Local candidates only - must be located within 40 miles of Spring, TX We're looking for a highly experienced Data/Analytics Engineer with 10 ...

Data & Analytics Engineer

Milwaukee, WI ยท On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Data & Analytics Engineer

Milwaukee, WI ยท Hybrid

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Data & Analytics Engineer

Milwaukee, WI ยท On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Data Analytics Engineer

Glen Allen, VA ยท On-site

$180K - $200K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities and delivering the models and datasets needed to support them * Design and build a single source of ...

Data Analytics Engineer

San Francisco, CA ยท On-site

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

Data Analytics Engineer

Glen Allen, VA ยท On-site

$106K - $127K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities and delivering the models and datasets needed to support them * Design and build a single source of ...

Data Analytics Engineer

Glen Allen, VA ยท On-site

$106K - $127K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities and delivering the models and datasets needed to support them * Design and build a single source of ...

Data Analytics Engineer

Miami Lakes, FL ยท On-site

$103K - $124K/yr

The Data Analytics Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ...

Data Analytics Engineer

Crystal City, TX ยท On-site

$99K - $119K/yr

Data Analytics Engineer ID: 1000000059 Location: Crystal City, VA Clearance Level: Obtain Public Trust Level 6 Shift: Standard Day Shift (M-F) Travel Requirements: None More about this job ...

Data Analytics Engineer

San Francisco, CA ยท Remote

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

Data Analytics Engineer

Kokomo, IN ยท On-site

$101K - $121K/yr

The analytics engineer makes sure data is ingested, transformed, scheduled, and ready to be used for analytics. This role is responsible for designing, implementing, and maintaining data pipelines ...

Data Analytics Engineer

Lexington Park, MD ยท On-site

$111K - $133K/yr

They are seeking a Data Analytics Engineer to work with operational and customer stakeholders to acquire, process, and analyze diverse data sources for mission-critical projects. Responsibilities ...

Data Analytics Engineer

Houston, TX ยท On-site

$99K - $118K/yr

Data Analytics Engineer Location: Houston TX (4 days in office) Type: Full Time This role is a hybrid, bridging the gap between data engineering and business intelligence. You'll spend part of your ...

Data Analytics Engineer

Towson, MD ยท Hybrid

$109K - $131K/yr

Analytics Engineer Seeking a highly skilled and motivated Analytics Engineer to join a dynamic team. As a key contributor, you will be responsible for assisting with creation of automated data ...

New

Data Analytics Engineer

Baltimore, MD ยท Hybrid

$113K - $136K/yr

Analytics Engineer Seeking a highly skilled and motivated Analytics Engineer to join a dynamic team. As a key contributor, you will be responsible for assisting with creation of automated data ...

New

Data Analytics Engineer

Cambridge, MA ยท On-site

$126K - $151K/yr

Omega Solutions, Inc. is a company focused on providing data solutions, and they are seeking a Data Analytics Engineer. The role involves leading junior developers and supporting data engineering ...

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Volunteer Data Analytics Engineer information

See salary details

$15

$62

$88

How much do volunteer data analytics engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for volunteer data analytics engineer in the United States is $62.98, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $70.91 per hour, depending on experience, location, and employer.

What is a volunteer data analytics engineer?

Volunteer Data Analytics Engineers are individuals who offer their expertise in data analytics without monetary compensation, often to nonprofit organizations or social causes. They help collect, process, and analyze data to extract insights that can improve decision-making and maximize impact. Their tasks may include building data pipelines, creating dashboards, and interpreting trends to guide organizational strategy. By volunteering their skills, they support missions that may lack the resources to hire full-time data professionals.

How do volunteer data analytics engineers typically collaborate with nonprofit teams to deliver impactful insights?

Volunteer Data Analytics Engineers often work closely with nonprofit staff, program managers, and fellow volunteers to understand organizational goals and data challenges. They may participate in regular meetings to align on project priorities, share data findings, and provide training on analytics tools or dashboards. Effective communication is key, as these engineers translate complex data into actionable insights tailored to diverse audiences, ensuring that data-driven recommendations are both practical and mission-focused. This collaborative environment also provides opportunities for networking and skill development within the social impact sector.

What are the key skills and qualifications needed to thrive as a volunteer data analytics engineer, and why are they important?

To thrive as a Volunteer Data Analytics Engineer, you need a solid understanding of data analysis, statistics, and proficiency in programming languages such as Python or R, often supported by a degree or coursework in computer science or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and cloud platforms is typically expected. Strong problem-solving abilities, effective communication, and a collaborative mindset help you deliver insights in a volunteer-driven environment. These skills are crucial for transforming raw data into actionable information that supports organizational goals and drives impactful decision-making.

What is the difference between Volunteer Data Analytics Engineer vs Volunteer Data Scientist?

AspectVolunteer Data Analytics EngineerVolunteer Data Scientist
Required CredentialsBasic data analysis, SQL, some programmingStatistical knowledge, programming, data modeling
Work EnvironmentCollaborative, project-based, nonprofit or NGO settingsResearch-focused, nonprofit or NGO settings
Employer & Industry UsageNonprofits, NGOs, social enterprisesNonprofits, NGOs, research organizations
Common Search & Comparison IntentUnderstanding role differences, job requirementsClarifying skill sets, responsibilities

Volunteer Data Analytics Engineers focus on building data pipelines, managing data infrastructure, and performing basic analysis. Volunteer Data Scientists typically handle advanced statistical modeling, predictive analytics, and data interpretation. Both roles are vital in nonprofit settings but differ in technical depth and focus areas.

What cities are hiring for Volunteer Data Analytics Engineer jobs?

Cities with the most Volunteer Data Analytics Engineer job openings:

What are the most commonly searched types of Data Analytics Engineer jobs?

The most popular types of Data Analytics Engineer jobs are:

What states have the most Volunteer Data Analytics Engineer jobs?

States with the most job openings for Volunteer Data Analytics Engineer jobs include:

Data Analytics Engineer

Healthtronics

Austin, TX โ€ข On-site

$108K - $129K/yr

Full-time

Posted 5 days ago


Job description

SUMMARY OF PURPOSE:

The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data pipelines, analytics platforms, and reporting solutions that enable data-driven decision making across the organization. This role bridges the gap between data engineering and business intelligence by transforming raw data into trusted, accessible, and actionable insights. The Data Analytics Engineer collaborates closely with business stakeholders, data analysts, IT teams, and leadership to deliver high-quality data solutions that support strategic objectives. 

ESSENTIAL FUNCTIONS:

Data Engineering & Integration 

  • Design, develop, and maintain ETL/ELT processes for ingesting, transforming, and integrating data from multiple sources. 
  • Build and optimize data pipelines to ensure data quality, reliability, and performance. 
  • Develop and maintain enterprise data models, data warehouses, and data marts. 
  • Monitor and troubleshoot data workflows and resolve data-related issues. 

Analytics & Reporting 

  • Create and maintain dashboards, reports, and self-service analytics solutions using modern BI tools. 
  • Translate business requirements into scalable analytical solutions. 
  • Develop KPIs, metrics, and reporting frameworks to measure business performance. 
  • Support ad hoc data analysis and reporting requests. 

Data Governance & Quality 

  • Implement data quality controls and validation processes. 
  • Ensure compliance with organizational data governance policies and security standards. 
  • Maintain data dictionaries, metadata, and documentation. 
  • Promote best practices for data management and analytics. 

 

 

Collaboration & Business Partnership 

  • Partner with business stakeholders to understand reporting and analytical needs. 
  • Work closely with application teams and business process owners to improve data accessibility and usability. 
  • Provide technical guidance and mentoring to analysts and other team members. 
  • Present analytical findings and recommendations to leadership. 


POSITION REQUIREMENTS - REQUIRED QUALIFICATIONS: 

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field. 
  • 3+ years of experience in data engineering, analytics engineering, business intelligence, or related roles. 
  • Strong SQL development and database management skills. 
  • Experience with data warehouse technologies and cloud data platforms. 
  • Proficiency in Python, SQL, or other data processing languages. 
  • Experience with BI and visualization tools such as Sigma, Tableau, or similar platforms. 
  • Knowledge of ETL/ELT frameworks and data integration methodologies. 

 

PREFERRED QUALIFICATIONS: 

  • Experience with Azure Data Factory, Microsoft Fabric, Synapse Analytics, Databricks, or Snowflake. 
  • Understanding of data governance and master data management practices. 
  • Experience working in Agile environments. 
  • Relevant certifications in Azure, Microsoft Fabric, Power BI, or data engineering technologies. 

 

KEY COMPETENCIES: 

  • Analytical thinking and problem-solving 
  • Data modeling and architecture 
  • Stakeholder communication 
  • Process improvement 
  • Attention to detail 
  • Project management and prioritization 
  • Collaboration and teamwork 

 

SUCCESS MEASURES: 

  • Delivery of reliable and scalable analytics solutions. 
  • Improvement in data quality and reporting accuracy. 
  • Reduction in manual reporting efforts. 
  • Increased adoption of self-service analytics capabilities. 
  • Timely delivery of data and analytics initiatives aligned with business goals. 

 
 

PHI ACCESS: 

  • This position requires access to PHI due to reporting and data content