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Data Evaluation Jobs (NOW HIRING)

Machine Learning Data Engineer

Cupertino, CA ยท On-site

$141K - $169K/yr

If your passion is making sense of complex data, designing data evaluation frameworks, and leading initiatives to maximize model ROI through rigorous data quality, we want you on our team. BS in ...

Vacancy Data Evaluator

Carlinville, IL ยท On-site

$25 - $35/hr

FAR Inspections is a leading provider of property data for mortgage lenders nationwide. Based in Reno, NV, we have a 12-year track record of excellence and stability in the mortgage field services ...

Reporting to the Director of Data & Evaluation, the Data Manager leads a team of Data Coordinators and quality assurance staff. They oversee data management, analysis, contract compliance, and HMIS ...

Occupancy Data Evaluator

Attica, NY ยท On-site

$25 - $35/hr

FAR Inspections is a leading provider of property data for mortgage lenders nationwide. Based in Reno, NV, we have a 12-year track record of excellence and stability in the mortgage field services ...

As a Data Scientist on the Behavior Evaluation team, you will be the statistical anchor ensuring our autonomous driving systems navigate highway environments with world-class safety, efficiency, and ...

As a Data Scientist on the Behavior Evaluation team, you will be the statistical anchor ensuring our autonomous driving systems navigate highway environments with world-class safety, efficiency, and ...

As a Data Scientist on the Behavior Evaluation team, you will be the statistical anchor ensuring our autonomous driving systems navigate highway environments with world-class safety, efficiency, and ...

Data Scientist, Behavior Evaluation

Boston, MA ยท On-site

$176K - $240K/yr

As a Data Scientist on the Behavior Evaluation team, you will be the statistical anchor ensuring our autonomous driving systems navigate highway environments with world-class safety, efficiency, and ...

Proven working knowledge of Python, SQL and large data sets, understanding of analytic methodologies for data evaluation. * Excellent verbal and written communication skills, with the ability to ...

Working with business stakeholders to determine metrics for evaluating the models * Working with data engineers to create datasets for insight and prediction * Building data visualizations, reports ...

We are looking for a talented, experienced Data Scientist to join our cross-functional team, focusing on the deep evaluation of Apple Maps search services, features, monetization initiatives and ...

Data Scientist, Maps Evaluation

Cupertino, CA ยท On-site

$141K - $258K/yr

Description We are looking for a talented, experienced Data Scientist to join our cross-functional team, focusing on the deep evaluation of Apple Maps search services, features, monetization ...

The incumbent will be responsible for converting raw data from multiple sources into actionable business intelligence through data evaluation, ETL development, dashboarding, predictive modeling ...

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Data Evaluation information

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How much do data evaluation jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for data evaluation in the United States is $31.22, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $33.17 per hour, depending on experience, location, and employer.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and making informed recommendations. Data analysts who develop skills in machine learning, programming, and data visualization are better positioned to adapt to these technological changes.

Is 40 too late for data science?

Data evaluation roles in data science are accessible at any age, and many professionals transition into the field later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and data analysis tools, regardless of age. Experience and continuous learning are valued in the industry, making 40 not too late to pursue a data science career.

What are some common challenges faced in Data Evaluation roles, and how can candidates prepare for them?

Data Evaluation professionals often encounter challenges such as handling large, complex datasets, ensuring data accuracy, and interpreting ambiguous results. To prepare, candidates should familiarize themselves with industry-standard data cleaning and validation techniques, as well as regularly update their technical skills in analytics tools. Effective communication skills are essential for translating complex findings into actionable recommendations for various stakeholders. Staying proactive about learning new methodologies and collaborating closely with cross-functional teams can also help you overcome these challenges and thrive in this role.

What are the key skills and qualifications needed to thrive in the Data Evaluation position, and why are they important?

To thrive in Data Evaluation, you need a strong analytical mindset, proficiency with data analysis, and a relevant degree in statistics, mathematics, or a related field. Familiarity with data analytics tools such as Excel, SQL, Python, R, or business intelligence platforms, and certifications like Microsoft Certified Data Analyst Associate, are often valuable. Attention to detail, effective communication, and problem-solving abilities are key soft skills for this role. These skills ensure accurate data interpretation, effective reporting, and actionable insights that help organizations make informed decisions.

Is a data analyst well paid?

Data analysts are generally well paid, with salaries varying based on experience, location, and industry. Entry-level positions typically start around the national average, while experienced analysts with skills in SQL, Excel, and data visualization tools can earn higher salaries and bonuses.

What are the top 3 skills for a data analyst?

The top skills for a data analyst include proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software such as R or Python. Strong analytical thinking, attention to detail, and the ability to communicate findings clearly are also essential. Familiarity with data visualization tools like Tableau or Power BI enhances their ability to present insights effectively.

What is a Data Evaluation job?

A Data Evaluation job involves analyzing, assessing, and interpreting data to ensure accuracy, consistency, and relevance for decision-making. Professionals in this role use statistical methods, data validation techniques, and reporting tools to identify patterns and insights. They often work with datasets from various sources, verifying integrity and optimizing data quality. Their findings help organizations improve processes, make informed decisions, and enhance overall efficiency.

More about Data Evaluation jobs
What cities are hiring for Data Evaluation jobs? Cities with the most 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 Data Evaluation jobs? States with the most job openings for Data Evaluation jobs include:
Infographic showing various Data Evaluation job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 57% Full Time, 34% Part Time, and 6% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $64,947 per year, or $31.2 per hour.
Data and Evaluation Director

Data and Evaluation Director

Safe Haven Family Shelter

Nashville, TN โ€ข On-site

$68K - $75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Job description

DATA AND EVALUATION DIRECTOR

POSITION SUMMARY

The Data and Evaluation Director leads Safe Haven's program data and evaluation strategy, and outcome reporting across all programs. This role designs and maintains data systems and dashboards in Salesforce and HMIS, develops and oversees implementation of evaluation tools and processes, partners with program leadership to translate data into program improvement, prepares grant outcome reports, and serves as Safe Haven's internal expert on program measurement. This leadership role works closely across programs, development, and operations department leadership and staff to ensure that Safe Haven's data tells an accurate and actionable story about family outcomes.

ROLES AND RESPONSIBILITIES

โ€ข Lead Safe Haven's data and evaluation strategy, including evaluation tool development and administration, outcome measurement, and program-improvement learning cycles.

โ€ข Design and maintain Salesforce dashboards and reports that serve program leadership, the CPO, COO, CDO, CEO, Safe Haven Board, and grant funders.

โ€ข Lead grant outcome reporting for the public and private grants, in partnership with other department leaders.

โ€ข Facilitate processes to identify and set evaluation priorities that align with the organization's internal capacity and information needs.

โ€ข Ensure HMIS data quality for Safe Haven, serving as HMIS Point of Contact in coordination with program leadership.

โ€ข Translate data into actionable insight for program leadership through data outcome reviews and regular ongoing analysis.

โ€ข Maintain Salesforce data architecture decisions in partnership with Salesforce administration support, including data model changes, automation, and integration improvements.

โ€ข Build and maintain workflows that ensure data entry standards are followed across the program team; lead data quality audits.

โ€ข Train and support program staff on data entry, dashboards, and using data in their daily work.

โ€ข Support grant compliance through accurate, audit-ready data and documentation.

โ€ข Partner with the Marketing Coordinator and Development team on outcome storytelling and impact reporting.

โ€ข Represent Safe Haven in community settings, including the HMIS and Data Committee of the Continuum of Care.

โ€ข Maintain confidentiality when dealing with sensitive client and program data.

โ€ข Adhere to agency policy, procedures, and the professional code of ethics.

โ€ข Other duties as assigned.

MINIMUM REQUIREMENTS

โ€ข Must meet Safe Haven's core values: strive for excellence, serve with compassion, never stop learning, embrace inclusion, cultivate collaboration, communicate with integrity.

โ€ข Bachelor's degree required; degree in Social Work, Public Policy, Data Analytics, Evaluation, Statistics, or related field strongly preferred. Master's preferred.

โ€ข Three or more years of experience in program evaluation, data analysis, or data management, preferably in social services, homelessness response, or related nonprofit field.

โ€ข Demonstrated ability to translate data into program improvement.

โ€ข Strong Salesforce or similar CRM experience; Salesforce Administrator Certification preferred.

โ€ข Experience with HMIS strongly preferred.

โ€ข Experience with grant reporting (federal grants such as TANF, HUD, HHS, ESG preferred).

โ€ข Strong analytical, communication, and project management skills.

โ€ข Comfort working across departments and with program staff at all levels.

PHYSICAL DEMANDS / WORK ENVIRONMENT

โ€ข Work Environment: Office and Community Services Hub setting.

โ€ข Must be able to sit / stand for 8 hours.

โ€ข Walking, bending, light lifting up to 25 lbs.

โ€ข Must be able to travel to community service providers and families in need.

SALARY / BENEFITS

Starting salary, commensurate with experience and education: $68,000โ€“$75,000

Benefits:

โ€ข 100% Employer-paid health and dental for individuals

โ€ข Additional discounted family coverage available as well

โ€ข 18 PTO Days plus 8 sabbatical days annually

โ€ข 14 Paid Holidays annually plus 4 floating holidays

โ€ข Paid parental/family leave

โ€ข 401K Plan (with 5% employer match)

โ€ข Employer paid short-term and long-term disability

โ€ข Flexible Spending Account options

โ€ข Voluntary vision and life insurance