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Volunteer Data Analyst Machine Learning Jobs (NOW HIRING)

Demonstrated knowledge of data mining methods, databases, data visualization, and machine learning concepts. * Strong communication skills for analysis techniques, concepts, and products. * Ability ...

Demonstrated knowledge of data mining methods, databases, data visualization, and machine learning concepts. * Strong communication skills for analysis techniques, concepts, and products. * Ability ...

Data Analyst: This role applies industry-leading methodologies for working with large datasets to ... The ideal candidate will also be passionate about developing machine learning models using Azure ...

Data Analyst

NE ยท On-site

This role requires strong technical expertise in data science methodologies, machine learning model development, statistical analysis, and business intelligence tools. The ideal candidate will ...

Job#: 3029487 Data Analyst - Manufacturing & Applied Machine Learning Location: Warren, MI (Hybrid) Employment Type: Contract Role Overview A client in the automotive manufacturing space is seeking a ...

The Data Analyst will be primarily responsible for Data Analysis, Remote statistical analysis ... Apply statistical methods and machine learning techniques to datasets * Develop visualizations and ...

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Volunteer Data Analyst Machine Learning information

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$34K

$82.6K

$136K

How much do volunteer data analyst machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for volunteer data analyst machine learning 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 is the difference between Volunteer Data Analyst Machine Learning vs Volunteer Data Analyst?

AspectVolunteer Data Analyst Machine LearningVolunteer Data Analyst
Required skillsData analysis, machine learning, programming (Python/R), statistical knowledgeData analysis, Excel, basic statistics, data visualization
Work environmentTech-focused, project-based, collaborative teamsNon-profit, research, community projects
Common employersTech companies, research institutions, startupsNon-profits, NGOs, community organizations

Volunteer Data Analyst Machine Learning roles typically require programming and machine learning expertise, working on advanced data projects. Volunteer Data Analysts focus on data cleaning, visualization, and basic analysis. Both roles support organizations but differ in technical complexity and scope.

What cities are hiring for Volunteer Data Analyst Machine Learning jobs? Cities with the most Volunteer Data Analyst Machine Learning job openings:
What are the most commonly searched types of Data Analyst Machine Learning jobs? The most popular types of Data Analyst Machine Learning jobs are:
What states have the most Volunteer Data Analyst Machine Learning jobs? States with the most job openings for Volunteer Data Analyst Machine Learning jobs include:

Data Analyst - Machine Learning

Equation Staffing

Manhattan, NY โ€ข On-site

Full-time

Posted 25 days ago


Job description

Does getting in on the ground floor as an initial stakeholder, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you.

My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesnโ€™t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands, to millions of dollars, that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B.

The need role is for a data-savvy individual to join the Data Science team as the first Data Analyst, on the team. This person will create consumer-focused research content and support user-centric product development and growth based on real-time feed of data sets and data points. Our ideal candidate is a sharp, thoughtful problem solver, who enjoys identifying key business levers and challenges, and then building analytical frameworks with under to impact strategic decision making.

Will use big data and machine learning to help clients make decisions in a completely unprecedented way. The responsibility of the Data Analyst will be to decipher the data to find the insights and patterns that matter the most.


KEY RESPONSIBILITIES

ยท Interpret data, analyze results using statistical techniques and provide ongoing reports

ยท Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality

ยท Acquire data from primary or secondary data sources and maintain databases/data systems by working with the data procurement team

ยท Identify, analyze, and interpret trends or patterns in complex data sets

ยท Filter and โ€œcleanโ€ data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems

ยท Write SQL/Hive/Spark queries to extract necessary data and present the information in a data visualization platform such as Tableau. Datorama, DOMO or similar to generate business insights.

ยท Proactively perform data exploration on user behavior to discover future testing opportunities.

ยท Work collaboratively with a cross-functional team (Product, Marketing & Engineering) to solve complex business/product/marketing problems.

ยท Create and manage business/operational dashboards to monitor business line performance.


QUALIFICATIONS

ยท Proven working experience as a data analyst or business data analyst

ยท Technical expertise regarding data models, database design development, data mining and segmentation techniques

ยท Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)

ยท Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)

ยท BS in Mathematics, Economics, Computer Science, Information Management or Statistics

ยท Bachelorโ€™s degree in a quantitative field

ยท You have extensive experience using SQL and Tableau, Looker or similar is a Plus.

ยท You understand experimentation, hypothesis testing, and causal inference

ยท Experience in Deep Learning and Machine Learning algorithms is a plus


It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team!


Salary based on experience