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7 Program Analyst - Senior Services Data and Evaluation Resume Templates with Example

By Ria · Last Updated On October 22, 2026
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This guide shows you how to create a Program Analyst - Senior Services Data and Evaluation resume that presents your work clearly and connects it to program needs. You will learn how to organize relevant evidence and choose a readable resume layout.

Strong resumes for this role explain program evaluation, data quality, and reporting work in direct language. Show how you combine narrative findings with statistical data, identify information gaps, and support decisions with accurate reports and measurable results.

The example is presented in 7 layouts so you can compare how section order, skills, and experience appear in different designs. The guide also covers ATS-friendly headings and role-specific terms such as senior services, funder requirements, Python, R, SQL, Excel, AgingIS, Power BI, and Tableau.

What Makes a Great Program Analyst - Senior Services Data and Evaluation Resume in 2026

A strong resume makes program evaluation and reporting work easy to follow. Use clear sections and focused bullet points to show how you assess service data, explain findings, and improve reporting practices.

Include relevant terms such as senior services, funder requirements, data quality, statistical analysis, and performance measures. Name tools you have used, such as Excel, Python, SQL, AgingIS, Power BI, and Tableau.

Note: Resume examples are for educational purposes only. Use only information that accurately reflects your experience and qualifications. References to real organizations do not imply affiliation or endorsement.

#1 Plain Two Column Format Resume Example

The Plain Two Column Format places resume content in two body columns, helping reviewers compare work history with supporting sections.

 
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Resume Snapshot

  • 12 years evaluating senior and human services programs
  • Bachelor of Arts in Public Administration, University of Wisconsin–Milwaukee, 2013
  • Program evaluation experience across nonprofit and government settings
  • Tools include Python, R, SQL, Excel, Power BI, Tableau, and GIS

Why This Format Works

  • Two body columns give work history and supporting sections distinct reading areas.
  • Clear section boundaries help reviewers locate education and credentials in context.
  • A visible sequence across roles makes career progression easier to follow.

Best For

  • Resumes with multiple content sections
  • Side-by-side content organization
  • Work histories spanning several roles
  • Education and credentials included with experience
  • Reviewers comparing related resume details

Resume Keywords

  • Public Administration
  • 12 years of experience evaluating senior and human services programs
  • Program evaluation
  • Assessed program operations
  • Researched funder reporting requirements
  • Performance measures
  • interpreting narrative evidence alongside statistical data to assess service delivery and reporting needs
  • identify information gaps
  • uses Python with Pandas and NumPy to clean, analyze, and reconcile complex program datasets
  • Data management
  • advises on data collection, storage, sharing, and use across services
  • Python
  • Developed Python scripts for recurring data cleaning and automation
  • SQL queries
  • Built and maintains custom reports across AgingIS
See all keywords
 

#2 Simple One Column Format Resume Example

The Simple One Column Format keeps the resume in a single vertical reading path, so reviewers can follow experience and supporting sections in sequence.

 
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Why This Format Works

  • A single vertical path keeps experience entries in a clear sequence.
  • Section headings separate program evaluation experience from supporting qualifications.
  • Skills, education, and credentials remain within one continuous reading flow.

Best For

  • Sequential work-history review
  • One-direction reading preference
  • Resumes with detailed experience entries
  • Supporting qualifications in a clear sequence
  • Simple document scanning
 

#3 Clean Two Column Sidebar Format Resume Example

The Clean Two Column Sidebar Format uses a main area and a sidebar to keep resume sections distinct and compact.

 
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Why This Format Works

  • Main and side columns create separate areas for career history and supporting details.
  • Section divisions help reviewers move from experience to education without losing sequence.
  • The compact arrangement keeps resume sections easy to locate.

Best For

  • Compact two-column resumes
  • Distinct resume section groups
  • Career histories with supporting details
  • Education and skills in a structured document
  • Readers who prefer clear section separation
 

#4 Two Column Format Resume Example

The Two Column Format arranges resume sections in two body columns, giving reviewers a compact view of work history and related information.

 
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Why This Format Works

  • Parallel content areas let reviewers scan experience and other qualifications without merging sections.
  • The column structure keeps work history entries grouped for review.
  • Distinct section areas help education and credentials remain easy to find.

Best For

  • Compact presentation of resume sections
  • Experience with related qualifications
  • Grouped work-history entries
  • Education and credentials alongside other details
  • Reviewers scanning separate content areas
 
 

#5 Photo Header Two Column Format Resume Example

The Photo Header Two Column Format pairs a photo header with a two-column body, combining a visual identity area with organized resume content.

 
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Why This Format Works

  • The two-column body separates work history from other resume sections.
  • A clear reading order helps reviewers follow roles and career progression.
  • Section groups keep education and credentials identifiable alongside experience.

Best For

  • Photo header preference
  • Two-column content organization
  • Resumes with several experience entries
  • Career history paired with supporting sections
  • Visual identity in the resume header
 

#6 Colored Two Column Format Resume Example

The Colored Two Column Format places resume sections in two body columns, giving reviewers separate areas to navigate through the document.

 
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Why This Format Works

  • Separate columns keep career history and supporting qualifications in distinct areas.
  • Reviewers can follow role progression while locating education in its own section.
  • Distinct content areas make skills and credentials easier to scan.

Best For

  • Two-column section organization
  • Career histories with supporting qualifications
  • Resumes needing distinct content areas
  • Skills and credentials across several sections
  • Reviewers who scan by section
 

#7 Stylish Two Column Designer Format Resume Example

The Stylish Two Column Designer Format uses two body columns to organize resume sections instead of placing all content in one vertical stream.

 
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Why This Format Works

  • Two body columns let detailed resume sections occupy distinct reading areas.
  • The arrangement helps reviewers scan work history and still find education and credentials.
  • Section boundaries keep skills, experience, and qualifications clearly grouped.

Best For

  • Detailed resumes with multiple sections
  • Two-column reading preference
  • Work history with related qualifications
  • Skills and education in separate areas
  • Reviewers navigating varied resume content
 
 

Why Build Your Program Analyst Resume with ResumeInMinutes

ResumeInMinutes provides example layouts that help you organize program evaluation, data, and reporting experience. Compare the image previews, then open an example in the editor to customize its content.

  • Clear resume layouts
  • Readable section structure
  • Role-focused keyword guidance
  • Organized skills and experience
  • Image previews for comparison
  • Examples you can customize in the editor

Keep each section focused on evidence that matters to senior services data and evaluation work. Use concise bullets to explain your analysis, reporting processes, tools, and results.

 

See Also

 

Frequently Asked Questions

Are these Program Analyst - Senior Services Data and Evaluation resume templates ATS-friendly?

They use recognizable resume sections and readable headings. Use standard section names and include relevant terms, such as program evaluation, senior services, data quality, and performance reporting, where they match your experience.

Does this page show several different resumes?

No. It presents one resume example in different layouts. The image previews let you compare how the content is arranged.

What should a Program Analyst - Senior Services Data and Evaluation resume include?

Include a focused summary, relevant experience, education, technical skills, and certifications. Describe program evaluation, narrative and statistical analysis, data management, reporting, and tools such as Excel, Python, R, SQL, and dashboard platforms when they match your background.

Which resume style works well for this role?

Choose a layout with clear headings, simple section order, and enough space for concise experience bullets. A straightforward design is easier for people and applicant tracking systems to scan.

How can I show program evaluation experience clearly?

Use bullets to describe the data or program need, your analysis or reporting work, and the result. Include measurable outcomes when you can support them with accurate figures.

Should I include a photo on my resume?

Include a photo only when it is expected in your region or field. For most U.S. applications, a resume without a photo is a sensible choice.

ATS score and resume checks

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ATS Score 93%

How we calculate this score

  • Keywords: 60% of the total. AI extracts keywords from your job description. If you do not provide one, a standard job description for the title matching your resume is used. This is not a match to a specific vacancy.
  • Text-based resume: 20%. The text resume assessed here receives 100 for this part.
  • Resume quality: 20%. We start at 100 and subtract points for issues found by our resume checks, down to a minimum of zero.
  • Keyword coverage = round(100 × confirmed matches ÷ total keywords). Exact matches and supported equivalents verified by AI receive full credit; unsupported keywords receive none. Live text checks use the saved equivalents and do not request a new AI review. Without keywords, no overall ATS score is available.
  • Final score = 60% of keyword coverage + 20% of the text score + 20% of the quality score, rounded to a whole number. Without keywords, no overall ATS score is available.

What this score means

Our scores are estimates, not employer ratings. They may contain errors and do not guarantee accurate parsing, a ranking, an interview, or a job. Check your document against the employer’s requirements. You are responsible for relying on this score.

Terms and Conditions

Score weights: Keywords 60% · Text based resume 20% · Resume quality 20%

Keyword coverage: 39 of 44 (89%) · Resume quality: 100%

Resume quality 100% · Weight 20% · Issues (0)

Details
  • ✓Name present: Alina Holloway
  • ✓Email format: alina.holloway@example.com
  • ✓Phone format: (414) 555-XXXX
  • ✓Experience 1: Job title: Program Evaluation Analyst
  • ✓Experience 1: Company name: Lakeview Senior Resource Collaborative
  • ✓Experience 1: Work location: Milwaukee, WI
  • ✓Experience 1: Employment dates: Apr 2023 - Present
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Program Analyst
  • ✓Experience 2: Company name: Wisconsin Family Support Alliance
  • ✓Experience 2: Work location: Madison, WI
  • ✓Experience 2: Employment dates: Jan 2021 - Mar 2023
  • ✓Experience 2: Description or achievements: Present
  • ✓Experience 3: Job title: Program Evaluation Associate
  • ✓Experience 3: Company name: Civic Metrics Group
  • ✓Experience 3: Work location: Chicago, IL
  • ✓Experience 3: Employment dates: Sep 2018 - Dec 2020
  • ✓Experience 3: Description or achievements: Present
  • ✓Experience 4: Job title: Program Data Analyst
  • ✓Experience 4: Company name: Midwest Community Action Partnership
  • ✓Experience 4: Work location: Rockford, IL
  • ✓Experience 4: Employment dates: Jul 2016 - Aug 2018
  • ✓Experience 4: Description or achievements: Present
  • ✓Experience 5: Job title: Program Evaluation Assistant
  • ✓Experience 5: Company name: BrightPath Family Services
  • ✓Experience 5: Work location: Janesville, WI
  • ✓Experience 5: Employment dates: May 2014 - Jun 2016
  • ✓Experience 5: Description or achievements: Present
  • ✓No placeholder fields
  • ✓No repeated achievement bullets
  • ✓No empty bullets

No issues found by the current checks.

Text Based Resume 100% · Weight 20%

Parsed text
Alina Holloway
Program Analyst
(414) 555-XXXX
alinaholloway
alina.holloway@example.com
Milwaukee, WI 53202
STRENGTHS
Program insight
Turn service records and staff narratives into clear findings that help leaders assess performance and plan program reviews.
Data quality
Trace gaps across program records and clarify definitions with staff, making recurring measures easier to interpret and validate.
Reporting clarity
Document data sources, assumptions, and calculation rules so colleagues can follow how reports were prepared and use them confidently.
Practical facilitation
Guide performance discussions toward useful questions and follow-up actions, keeping findings connected to the realities of program delivery.
Repeatable analysis
Replace repetitive data preparation with reusable scripts and structured Excel workflows, freeing time for review and interpretation.
SUMMARY
Program analyst with 12 years of experience evaluating senior and human services programs across nonprofit and government settings. Translate operational data, funder requirements, and staff perspectives into clear performance findings that guide program reviews and reporting decisions. Build and maintain practical analysis and reporting processes, using tools such as Python, R, SQL, and Excel to organize complex data and automate recurring tasks. Develop dashboards and custom reports for senior services programs, and explain results through concise reporting and performance discussions with staff and leadership. Hold a bachelor's degree in Public Administration and bring experience with AgingIS, Salesforce, ECM, TCare, Power BI, Tableau, and GIS.
EXPERIENCE
Program Evaluation Analyst
Lakeview Senior Resource Collaborative
Apr 2023 - Present
Milwaukee, WI
Evaluates a portfolio of senior services programs by connecting participant and service records with funder requirements, then presenting narrative and statistical findings to program leaders for planning and performance reviews.
Built and maintains custom reports across AgingIS, Salesforce, ECM, and TCare; writes SQL queries in AgingIS and uses Python with Pandas and NumPy to clean, analyze, and reconcile complex program datasets.
Created live Power BI and Tableau dashboards, with GIS views for service coverage, giving program teams a consistent way to review service volume, trends, and geographic access.
Reworked data collection and reporting workflows with reusable Python and VBA scripts, documenting data sources, gaps, collection methods, and calculation rules to improve repeatability and support reliable metrics.
Facilitates performance-oriented discussions with program staff and leadership, translating findings into practical follow-up questions and clearly documenting decisions and reporting needs.
Maintains technical documents and flow charts for databases, reporting procedures, and business processes, and advises on data collection, storage, sharing, and use across services.
Program Analyst
Wisconsin Family Support Alliance
Jan 2021 - Mar 2023
Madison, WI
Assessed program operations and funder reporting requirements across a human services portfolio, combining staff interviews and program narratives with statistical measures to explain performance and identify information gaps.
Developed Power Query and VBA/macros workflows in Excel to standardize data from multiple program teams, using advanced formulas and pivot tables to prepare recurring analysis and reports.
Used R for data cleaning and statistical analysis, then summarized results in Tableau dashboards and concise reporting for program managers and nonprofit leadership.
Coordinated project management milestones for a reporting redesign, gathering staff input and documenting data definitions, collection methods, and review procedures.
Program Evaluation Associate
Civic Metrics Group
Sep 2018 - Dec 2020
Chicago, IL
Conducted program evaluation research for public and nonprofit human services clients, interpreting narrative evidence alongside statistical data to assess service delivery and reporting needs.
Developed Python scripts for recurring data cleaning and automation, and used Excel and SQL to organize large datasets, investigate data gaps, and prepare analysis-ready files.
Produced Tableau and Power BI reports that helped client teams compare program measures and discuss results; documented data sources, assumptions, and reporting procedures for ongoing use.
Program Data Analyst
Midwest Community Action Partnership
Jul 2016 - Aug 2018
Rockford, IL
Analyzed service and referral records for community programs, reviewing data collection practices and working with program staff to clarify definitions and improve the usefulness of performance measures.
Built Excel reporting tools with pivot tables, advanced formulas, and early VBA macros, reducing repetitive preparation and making monthly summaries easier to validate.
Researched funder reporting requirements and prepared written findings that paired participant and service statistics with context from program staff.
Program Evaluation Assistant
BrightPath Family Services
May 2014 - Jun 2016
Janesville, WI
Supported evaluation of family and community service programs by organizing client and service data, checking records for completeness, and preparing summaries for internal program reviews.
Gathered narrative feedback from staff and reviewed statistical trends in Excel, helping program managers identify collection gaps and document practical improvements to reporting procedures.
SKILLS
Program evaluation
Program operations
Statistical analysis
Stakeholder discussions
Process documentation
Performance measures
Performance reporting
Project management
Funder requirements
Data management
Narrative research
Human services
Senior services
Data collection
Data quality
LANGUAGES
English
Native
Spanish
Intermediate
MY CAREER
12.5Years
Program Evaluation Analyst at Lakeview Senior Resource Collaborative (3.6 Years)
Program Analyst at Wisconsin Family Support Alliance (2.2 Years)
Program Evaluation Associate at Civic Metrics Group (2.3 Years)
Program Data Analyst at Midwest Community Action Partnership (2.2 Years)
Program Evaluation Assistant at BrightPath Family Services (2.2 Years)
LEADERSHIP, AWARDS & RECOGNITION
Recognized by Lakeview Senior Resource Collaborative leadership in 2025 for clear reporting documentation supporting cross-program review.
Facilitated peer workshops on Excel reporting and data-quality practices for nonprofit program staff, 2022-2024.
EDUCATION
Bachelor of Arts in Public Administration
University of Wisconsin–Milwaukee
2013
Milwaukee, WI
CERTIFICATIONS
Google Data Analytics Professional Certificate
2021
Tableau Desktop Specialist
2022
Project Management Certificate, University of Wisconsin–Madison Continuing Studies
2020
TECHNICAL SKILLS
Programming Languages: Python, R, VBA
Python Libraries: Pandas, NumPy, SciPy
Data Query Languages: SQL, T-SQL, SQLite SQL
Spreadsheets: Microsoft Excel, Google Sheets, LibreOffice Calc
Data Visualization: Power BI, Tableau, ArcGIS
CRM Platforms: Salesforce, Microsoft Dynamics 365, HubSpot
Human Services Systems: AgingIS, TCare, ECM
Database Platforms: Microsoft SQL Server, PostgreSQL, MySQL
Data Integration Tools: Power Query, Microsoft Access, Alteryx
Office Productivity: Microsoft Word, Microsoft PowerPoint, Microsoft Visio
PROFESSIONAL AFFILIATIONS
Member, American Evaluation Association, contributing to professional engagement in program evaluation and applied research.
Member, National Council on Aging, engaging with a professional community focused on aging services and senior well-being.

Matched keywords (39)

  • Public AdministrationOriginal keyword in JD: Bachelor's degree in Business Administration OR Public Administration OR Data Analytics OR a directly related field + 2+ years of program evaluation experience
  • 12 years of experience evaluating senior and human services programsOriginal keyword in JD: 6+ years of program evaluation experience
  • Public AdministrationOriginal keyword in JD: Associate's degree in Business Administration OR Public Administration OR a directly related field + 4+ years of program evaluation experience
  • Public AdministrationOriginal keyword in JD: Master's degree or higher in Business Administration OR Public Administration OR Data Analytics OR a directly related field + 1+ year of program evaluation experience
  • Program evaluation
  • Assessed program operationsOriginal keyword in JD: Program operations assessment
  • Researched funder reporting requirementsOriginal keyword in JD: Funder requirements research
  • Performance measures
  • interpreting narrative evidence alongside statistical data to assess service delivery and reporting needsOriginal keyword in JD: Narrative and statistical analysis
  • identify information gapsOriginal keyword in JD: Data gap identification
  • uses Python with Pandas and NumPy to clean, analyze, and reconcile complex program datasetsOriginal keyword in JD: Data analysis
  • Data management
  • advises on data collection, storage, sharing, and use across servicesOriginal keyword in JD: Data collection, storage, and sharing
  • PythonOriginal keyword in JD: Python OR R OR VBA scripting
  • Developed Python scripts for recurring data cleaning and automationOriginal keyword in JD: Data task automation
  • SQL queries
  • Built and maintains custom reports across AgingISOriginal keyword in JD: AgingIS reporting
  • Built and maintains custom reports across AgingIS, Salesforce, ECM, and TCareOriginal keyword in JD: Custom report development and support
  • Created live Power BI and Tableau dashboardsOriginal keyword in JD: Live dashboards
  • Data Visualization
  • GIS
  • Salesforce
  • Power BI
  • Tableau
  • ECM
  • TCare
  • Excel
  • using advanced formulas and pivot tablesOriginal keyword in JD: Advanced Excel formulas
  • pivot tables
  • Power Query
  • VBA/macros
  • uses Python with Pandas and NumPyOriginal keyword in JD: Python Pandas and NumPy
  • Project management
  • Maintains technical documents and flow charts for databasesOriginal keyword in JD: Technical documentation
  • flow charts
  • business processesOriginal keyword in JD: Business process documentation
  • Performance reporting
  • Senior services
  • evaluating senior and human services programs across nonprofit and government settingsOriginal keyword in JD: Government, nonprofit, or human services experience

Missing keywords (5)

  • Data source assessment
  • Data collection needs assessment
  • Large, complex dataset analysis
  • Data cleaning and formatting
  • Facilitating performance improvement discussions
Disclaimer: All names, images, contact information, employment histories, achievements, security clearances, military credentials, and other qualifications shown in this content are fictional and used for illustrative purposes only. Any resemblance to actual persons, living or deceased, is purely coincidental.

Resume and cover-letter examples and recommendations in this article reflect general best practices and professional experience and are provided for guidance only. Results may vary based on role, industry, region, and hiring organization.

Content Accuracy and Verification: To the fullest extent permitted by applicable law, we do not represent or warrant that resume or cover-letter guidance, examples, recommendations, or related information are accurate, complete, current, error-free, or suitable for any particular purpose. You are responsible for independently reviewing and verifying the information before relying on it.

ATS and Cover-Letter Scores: ATS scores are estimates calculated using our own formula, informed by publicly available guidance on resume formatting and keyword matching. They are not scores issued or endorsed by an ATS provider or employer. Cover-letter scores are also our own assessments. Parsing, weighting, screening criteria, and results vary between systems, employers, job descriptions, and document formats. No score guarantees successful parsing, a particular ranking, an interview, or employment. Use scores as general guidance and independently check your documents against the employer’s requirements. To the fullest extent permitted by applicable law, we accept no liability for errors in scores or parsing, or losses arising from reliance on these assessments. Nothing in this notice excludes liability or limits consumer rights that cannot lawfully be excluded or limited.

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