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Research Data Associate Jobs in Mexico, ME (NOW HIRING)

Young Presidents' Organization

Data Engineer

Mexico, ME · On-site

$119K - $143K/yr

... of associates, members and vendors. Adaptable, insightful, empathetic and reliable. * Able to ... Able to identify problems, research alternatives, provide solutions and/or resolve issues in a ...

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Research Data Associate information

See Mexico, ME salary details

$17

$33

$48

How much do research data associate jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for research data associate in Mexico, ME is $33.91, according to ZipRecruiter salary data. Most workers in this role earn between $27.31 and $38.56 per hour, depending on experience, location, and employer.

What is a research data associate?

Research Data Associates are professionals who support research projects by managing, analyzing, and interpreting data. They are responsible for collecting data, ensuring its quality, maintaining databases, and preparing reports or summaries for research teams. Their work is essential in academic, medical, or industrial research settings, where accurate and reliable data is crucial for decision-making and publication. Research Data Associates often collaborate with researchers, statisticians, and IT staff to ensure data integrity and security.

What are the key skills and qualifications needed to thrive as a research data associate?

To thrive as a Research Data Associate, you generally need strong quantitative analysis skills, attention to detail, and a relevant bachelor's degree in fields like statistics, data science, or a related discipline. Familiarity with data management tools such as SQL, SPSS, R, or Python, as well as experience with data collection and cleaning processes, is typically required. Effective communication, problem-solving, and collaboration skills help Research Data Associates work efficiently within research teams and convey findings clearly. These competencies ensure accurate data handling, meaningful analysis, and the reliability of research outcomes.

What are some common challenges research data associates face when managing large datasets, and how can they be addressed?

Research Data Associates often encounter challenges such as ensuring data quality, maintaining accurate documentation, and handling missing or inconsistent data within large datasets. To address these, they typically implement rigorous data cleaning protocols, work closely with research teams to standardize data collection processes, and use specialized software for data validation. Collaborating with statisticians and IT staff is also essential to resolve technical issues and maintain data integrity throughout the project lifecycle.
Research Data Associate jobs near you
Infographic showing various Research Data Associate job openings in Mexico, ME as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $70,543 per year, or $33.9 per hour.

Data Engineer

Young Presidents' Organization

Mexico, ME • On-site

$119K - $143K/yr

Full-time

Posted 8 days ago

Job description

PRIMARY RESPONSIBILITIES

  • Help determine the direction and implementation of YPO's internal data architecture and its usage throughout the organization and its member-facing services.
  • Collaborate with the data product owner on new product development.
  • Design and build data services and pipelines that can support a wide-variety of use-cases.
  • Support internal data products and services by analyzing and organizing raw data.
  • Evaluate business needs and objectives as they relate to data usage and development.
  • Analyze and interpret trends and patterns to help find new opportunities.
  • Help define data best practices and tool usage.
  • Explore ways to enhance data quality and reliability.
  • Identify opportunities for data acquisition.

SKILLS

  • Ability to work collaboratively in a multi-cultural organization with international members, helping them achieve excellence in voluntary roles for YPO initiatives.
  • Excellent interpersonal skills, adept at building meaningful relationships with all levels of associates, members and vendors. Adaptable, insightful, empathetic and reliable.
  • Able to maintain discretion and integrity of confidential information.
  • Resourceful and able to work independently with initiative and good judgement. Effective time management, organization and prioritization, managing multiple projects simultaneously.
  • Possesses a distinct global mindset, sensitive to local and international customs and protocols.
  • Able to identify problems, research alternatives, provide solutions and/or resolve issues in a timely manner. Anticipates member needs and delivers with clarity.
  • Analytical with ability to influence and guide appropriately and execute. Natural curiosity and desire to learn more; proficiency and interest in applying new technologies and tools.
  • Excellent verbal and written communication skills, including proof reading, with a meticulous attention to detail. Adjusts communication style appropriately to the audience.
  • Professional presence, appearance, and stature to interact easily with YPO members, C-level executives and high-profile corporate leaders.

EDUCATION / EXPERIENCE / BACKGROUND

  • Bachelor's degree in data engineering or at least 8+ years of comparable professional experience in a data engineering role. Master's degree preferred.
  • Prefer 5+ years' experience working as a data engineer for a consumer-facing organization with a large and varied customer/user-base.
  • Extensive hands-on experience with relational, noSQLgraph and GraphQL database design.
  • Technical expertise with data models, data mining, and segmentation techniques.
  • Knowledge of applicable programming languages (e.g. Java and Python) and experience working within a test-driven CI/CD development pipeline.
  • Great numerical and analytical skills.
  • Strong analytical skills with the ability to combine data from a variety of different sources, and to see how that data can be correlated to provide valuable business and end-user insights.
  • Experience working with a wide variety of data platforms like Snowflake and BigQuery with Looker and Tableau, and data services that include Salesforce and 3rd party API-based data.

PHYSICAL REQUIREMENTS

  • Ability to work flexible and/or extended hours as needed to accommodate members and team members in multiple time zones.
  • Willingness and ability to travel, domestically and internationally, without restrictions, approximately 20% per year.

EOE

YPO is an Equal Opportunity Employer. YPO takes pride in supporting a diverse workforce and demonstrates this through its policies and practices. YPO does not discriminate in recruiting, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

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