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Full Time Data Evaluation Jobs (NOW HIRING)

Senior Data Scientist, AI

New York, NY ยท On-site

$200K - $220K/yr

... all evaluation-bound datasets. Be the person who makes sure the foundation doesn't rot. Our ideal candidate * Possesses 5+ Years of full time Data Experience: Has at least 5 years of hands-on ...

Overview We are seeking a full-time Data Scientist 2 at Garmin's U.S. headquarters in the Greater ... Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to ...

Data Partnerships Analyst Location: San Francisco Bay Area Type: Full-Time Compensation ... Data Evaluation : Assess sample datasets for coverage, quality, refresh frequency, schema design ...

This is a full-time position based in Austin, TX Your tasks and responsibilities: * Dive deep into ... for data evaluation. * Excellent verbal and written communication skills, with the ability to ...

This is a full-time position based in Austin, TX Your tasks and responsibilities: * Dive deep into ... for data evaluation. * Excellent verbal and written communication skills, with the ability to ...

... full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for ... Experience building, evaluating, or refining Media Mix Models (MMM) and/or Multi-Touch Attribution ...

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Full Time Data Evaluation information

What is the difference between Full Time Data Evaluation vs Data Analyst?

AspectFull Time Data EvaluationData Analyst
Required CredentialsBachelor's degree in related field, data evaluation certificationsBachelor's degree, often with additional certifications in data analysis or visualization
Work EnvironmentOffice or remote, focused on data review and validationOffice or remote, involving data interpretation and reporting
Employer & Industry UsageMarket research firms, government agencies, data service companiesBusiness, finance, healthcare, and tech industries

Full Time Data Evaluation primarily involves reviewing and validating data sets, ensuring accuracy and consistency. Data Analysts interpret data to generate insights and reports. While both roles require analytical skills and similar credentials, Data Analysts typically perform more interpretative and reporting tasks, whereas Data Evaluation focuses on data quality and validation.

What cities are hiring for Full Time Data Evaluation jobs? Cities with the most Full Time Data Evaluation job openings:
What are the most commonly searched types of Data Evaluation jobs? The most popular types of Data Evaluation jobs are:
What states have the most Full Time Data Evaluation jobs? States with the most job openings for Full Time Data Evaluation jobs include:

Data & Evaluation Manager

Open Doors Academy

Cleveland, OH โ€ข On-site

Full-time

Posted 10 days ago


Job description

Data & Evaluation Manager

Department

Programming

Job Status

Full-Time

Reports To

Senior Director of Advancement

Job Type

Regular

Positions Supervised

PT Data Coordinator

FLSA Status

Exempt

Amount of Travel

10%

Work Schedule

M-F 10am-6pm, Hybrid Schedule, Occasional evenings and weekends


POSITION SUMMARY

The Data & Evaluation Manager leads Open Doors Academy’s data management, analysis, reporting, and evaluation efforts. This position ensures that scholar and organizational data are accurate, secure, and effectively used to support program improvement, grant compliance, organizational learning, and strategic decision-making.

The Data & Evaluation Manager works across departments and with external partners to coordinate data collection, maintain data systems, analyze outcomes, and translate complex information into clear dashboards, graphs, reports, presentations, and executive summaries. This position helps leadership, Board members, funders, school districts, and community partners understand ODA’s performance, impact, and opportunities for improvement.

ESSENTIAL RESPONSIBILITIES

Data Management and Quality

  • Lead organization-wide data collection, management, validation, and reporting processes.
  • Develop and maintain clear data standards, standard operating procedures, reporting calendars, and documentation.
  • Establish data-quality practices that promote accurate, complete, consistent, and timely information.
  • Review data regularly to identify errors, missing information, inconsistencies, and reporting concerns.
  • Work with department managers to resolve data issues and strengthen staff compliance with established procedures.
  • Identify opportunities to simplify, improve, or automate data collection and reporting processes.
  • Maintain the confidentiality and security of scholar, family, employee, and organizational information.
  • Ensure compliance with FERPA, data-sharing agreements, grant requirements, and other applicable privacy standards.

Data Systems and External Partnerships

  • Serve as the primary administrator and internal expert for ODA’s data management and reporting systems.
  • Maintain system configurations, user access, permissions, reporting formats, and data integrity.
  • Manage relationships with data software vendors and coordinate the resolution of system issues.
  • Evaluate tools and system improvements that may strengthen organizational data capacity.
  • Coordinate data exchanges with school districts, schools, evaluation partners, and community organizations.

Strategic Analysis, Reporting & Evaluation

  • Analyze program and organizational data to identify trends, strengths, performance gaps, risks, and opportunities.
  • Translate complex data into clear, actionable dashboards, graphs, scorecards, reports, and presentations for technical and nontechnical audiences.
  • Prepare monthly, quarterly, annual, and ad hoc reports that communicate scholar outcomes, organizational performance, and progress toward grant and program goals.
  • Collaborate with Advancement and Programming leadership to align data collection, performance measures, grant requirements, and reporting needs.
  • Support internal and third-party evaluations by coordinating data collection, analysis, reporting, and interpretation of findings.
  • Ensure reports and visualizations are accurate, accessible, consistent, audience-appropriate, and supported by organized documentation for compliance and audit readiness.

Collaboration and Organizational Support

  • Partner with Programming, Advancement, Finance, Communications, and Executive Leadership to identify and address organizational data needs.
  • Provide department managers with data procedures, tools, reporting guidance, and resources needed to support staff implementation.
  • Serve as the primary internal resource for data-related questions and reporting requests.
  • Participate in leadership, departmental, cross-functional, and external partner meetings as assigned.
  • Maintain accurate records and complete required work by established deadlines.
  • Promote ODA’s mission, values, and commitment to scholar success.
  • Contribute to a collaborative, equitable, inclusive, and continuously improving organizational culture.


POSITION QUALIFICATIONS

Education

Bachelor’s degree in data analytics, statistics, information systems, education, public administration, social sciences, nonprofit management, program evaluation, or a related field required.

Experience

  • At least three years of professional experience in data management, data analysis, program evaluation, educational data, nonprofit performance measurement, or a related field.
  • Experience collecting, cleaning, validating, analyzing, and presenting data from multiple sources.
  • Demonstrated experience developing dashboards, visualizations, presentations, or executive-level reports.
  • Experience translating complex findings into clear and actionable information.
  • Experience managing multiple projects and deadlines with a high level of accuracy.

TECHNICAL SKILLS

Required

  • Advanced Microsoft Excel 
  • Microsoft Office 365 
  • Database and CRM management 
  • Data cleaning, validation, and quality assurance 
  • Data analysis and reporting 
  • Dashboard development and data visualization 
  • Strong written and verbal communication skills 

Preferred

Experience with one or more of the following is preferred:

  • Power BI or Tableau 
  • Salesforce or similar CRM
  • SQL 
  • Python or R 
  • Survey platforms (Qualtrics, SurveyMonkey, etc.) 
  • Experience working with educational or nonprofit data systems

Candidates are not expected to have experience with every preferred platform. The ability to learn new systems and apply technology effectively is essential.