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Data Monkey Jobs (NOW HIRING)

Montefiore

Research Associate (JR229973)

Yonkers, NY

Manage data collection and analysis using SurveyMonkey, Dedoose, and REDCap. * Prepare manuscripts ... survey monkey and redcap. * Maintain accurate documentation and source materials. * Facilitate ...

Mindlance

Modeler Developer - Python

Mclean, VA · On-site

$51.50 - $71/hr

Support and execute data migration activities, ensuring data integrity and accuracy. * Work with ... Pytest, Unitest, Monkey patch, pytest-mockito etc. * 5 years of experience with popular Python ...

WorkNovas LLC

Python Developer

Mclean, VA · On-site

$50.75 - $70/hr

... data integration across multiple systems. • Update and or build applications to source ... Pytest, Unitest, Monkey patch, pytest-mockito etc. • 5 years of experience with popular Python ...

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How much do data monkey jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data monkey in the United States is $29.39, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $37.50 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Data Monkey, a role involving data analysis and scripting, can be entered at any age, including 40. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Many professionals transition into data roles later in their careers, demonstrating that age is not a barrier to entering data science or related fields.

What is the highest paying data job?

The highest paying data jobs typically include Data Scientist, Data Architect, and Machine Learning Engineer, with salaries often exceeding $100,000 annually depending on experience and location. These roles require advanced skills in programming, statistics, and data modeling, and often involve working with big data tools like Hadoop or Spark.

What is a data monkey?

A data monkey is a colloquial term for a data entry or data processing worker who handles repetitive tasks such as inputting, cleaning, or organizing large amounts of data. The role often requires basic computer skills and familiarity with data tools like spreadsheets or databases but typically does not involve advanced analysis or decision-making.

What are Data Monkeys?

A Data Monkey is an informal term for someone who primarily handles data preparation, cleaning, and basic analysis tasks, often using tools like Excel, SQL, or data visualization software. They typically focus on collecting, transforming, and organizing large datasets to support business decisions or more advanced analytics. While the role can be a stepping stone to more technical data positions, it often involves repetitive or manual data processing tasks. The term is sometimes used humorously or self-deprecatingly in data-related fields.

Will data mining be replaced by AI?

Data Monkey professionals perform data mining, which involves extracting useful information from large datasets. AI tools and machine learning algorithms are increasingly automating parts of this process, but human oversight and expertise remain essential for interpreting results and managing complex data tasks. Therefore, AI is augmenting rather than fully replacing data mining roles in the near term.

What are some common challenges Data Monkeys face when working with large datasets?

Data Monkeys often encounter challenges such as dealing with inconsistent or incomplete data, managing large volumes of information efficiently, and ensuring data accuracy during cleaning and processing. They may also need to learn new tools or programming languages quickly to adapt to project needs. Collaborating with analysts and data scientists is essential to clarify requirements and ensure that data preparation aligns with team goals, making strong communication skills invaluable.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in mathematics, computer science, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and programming languages such as Python or R is typically required. Excellent attention to detail, problem-solving abilities, and effective communication skills help analysts translate data insights into actionable business recommendations. These competencies are crucial for extracting meaningful information from complex datasets and supporting data-driven decision-making.
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Infographic showing various Data Monkey job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $61,134 per year, or $29.4 per hour.
Research Associate (JR229973)

Research Associate (JR229973)

Montefiore

Yonkers, NY

Other

Re-posted 24 days ago

Job description

IntroductionTo heal, to teach, to discover and to advance the health of the communities we serve.

To learn more about the “Montefiore Difference” – who we are at Montefiore and all that we have to offer our associates, please click here. 

Overview

The Research Associate will provide critical support to the Principal Investigator (PI) and Senior Project Manager across multiple Community-Based Participatory Research (CBPR) projects focused on community trust building.

This role requires strong community engagement and organizational skills, independent judgment, and the ability to manage complex tasks in a fast-paced environment. Key responsibilities include engaging community and faith-based leaders to support participant recruitment, data management, quantitative and qualitative data analysis, and oversight of research platforms such as SurveyMonkey, Dedoose, and REDCap. The Research Associate will ensure seamless project operations, maintain effective communication with participants, build strong community partnership with CBO leaders, and contribute to program sustainability. The role will also support manuscript writing, poster preparation and presentations, and grant writing and may help facilitate community conversation circles, focus groups, and codesign sessions.

Responsibilities

  • Coordinate research activities, including participant recruitment, screening, and consent management in compliance with institutional guidelines.
  • Manage data collection and analysis using SurveyMonkey, Dedoose, and REDCap.
  • Prepare manuscripts, abstracts, posters, and grant proposals; develop presentations and reports for funding agencies.
  • Conduct literature reviews and contribute to survey question development and build surveys in survey monkey and redcap.
  • Maintain accurate documentation and source materials.  
  • Facilitate community conversations and codesign sessions.
  • Support administrative tasks and resolve issues proactively.
  • Perform additional duties as assigned.

Requirements

  • Proficiency in MS Office Suite (Word, Excel, PowerPoint, Outlook) and ability to learn new systems quickly.
  • Strong analytical, problem-solving, and communication skills (written and verbal).
  • Highly organized, adaptable, and capable of managing shifting priorities.
  • Ability to work independently and make informed decisions.
  • Professional interpersonal skills for engaging diverse individuals and teams.

Qualifications

  • Bachelor’s degree required. MPH preferred; postdoctoral candidates encouraged to apply.
  • 3+ years of experience in research coordination.
  • 2-5+ years of community engagement experience.  
  • In-depth knowledge of IRB processes.

Apply