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7 Analyst, Reporting & Analytics Resume Templates with Example

By Ria · Last Updated On October 9, 2026
Resume Example Page 1

This guide shows you how to build an Analyst, Reporting & Analytics resume that is clear, focused, and easy to review. You will learn how to organize evidence, choose strong sections, and compare professional resume formats.

Strong resumes for this role connect reporting work to business decisions. Use concise achievement bullets and relevant keywords for SQL, Python or R, Tableau, Looker, advanced Excel, ETL, data quality, automated reporting, and digital advertising analytics when those skills match your real experience.

The same complete resume is shown in 7 ATS-friendly layouts so you can compare reading flow, section emphasis, and visual organization. Free PDF downloads help you review each format before choosing one for your application.

What Makes a Great Analyst, Reporting & Analytics Resume in 2026

A strong resume makes your reporting work easy to scan and ties analysis to useful business outcomes. Clear section order, focused bullets, and consistent wording help reviewers understand your value quickly.

Match your real experience to terms such as SQL, Python, R, Tableau, Looker, advanced Excel, ETL, data quality, automated reporting, inventory management, yield analysis, and executive reporting.

The examples shown below are intentionally detailed to demonstrate a range of experiences, skills, accomplishments and relevant keywords. We prefer detailed resumes as they provide more context to the hiring managers and also help the ATS systems identify relevant qualifications and score your resume better for a match. But the length of a resume is an individual choice. If you want a one page resume, just keep the most relevant experience and information for the job. 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 Simple One Column Format Resume Example

A simple one-column flow gives recruiters a direct path through each resume section from top to bottom.

 
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Why This Format Works

  • Linear reading keeps experience and career progression easy to follow.
  • Full-width sections give achievements enough room for clear supporting detail.
  • Separate headings help skills, education, and credentials remain easy to locate.

Best For

  • Straightforward recruiter scanning
  • Detailed experience bullets
  • Clear chronological career history
  • Strong section hierarchy
  • ATS-conscious applications

Resume Keywords

  • Reporting
  • analytics
  • analysis
  • executive
  • growth opportunities
  • sales
  • inventory management
  • Digital TV
  • Looker
  • Tableau
  • large dataset
  • SQL
  • advanced Excel
  • trend
  • automated reporting
See all keywords
 

#2 Plain One Column with Shaded Labels Resume Example

Shaded section labels break the one-column resume into clear stops that help recruiters move between content areas quickly.

 
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Why This Format Works

  • Shaded labels create visible boundaries between experience, skills, and education.
  • One-column order keeps career details moving in a predictable sequence.
  • Section contrast helps credentials stand apart without changing the reading path.

Best For

  • Longer section names
  • Fast section-to-section navigation
  • Readers who prefer visible labels
  • Balanced detail and structure
  • Traditional professional applications
 

#3 One Column Format with Photo Right Resume Example

A right-side photo adds personal identification while the one-column body keeps the recruiter's reading path simple.

 
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Why This Format Works

  • The single body column keeps experience and achievements in one reading sequence.
  • Clear section breaks separate skills and credentials from detailed career content.
  • The photo stays in the header area without changing body organization.

Best For

  • Markets where resume photos are customary
  • Simple body reading order
  • Applications needing personal identification
  • Experience-led resumes with clear sections
  • International presentation preferences
 

#4 Clean Two Column Sidebar Format Resume Example

A clean two-column sidebar format lets recruiters scan supporting details beside the main career narrative without losing section order.

 
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Why This Format Works

  • Two-column separation keeps career history distinct from supporting resume sections.
  • The sidebar gives skills and credentials a compact, easy-to-find area.
  • Main-column space keeps experience and achievements central to the review.

Best For

  • Compact skills and credentials
  • Experience-focused main content
  • Readers comparing several section types
  • Resumes with varied supporting details
  • Structured two-column organization
 
 

#5 Two Column Format Resume Example

A balanced two-column structure helps recruiters compare core experience with supporting qualifications in a compact visual frame.

 
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Why This Format Works

  • Parallel columns divide detailed experience from shorter supporting information.
  • Distinct content zones make achievements, skills, and education easier to compare.
  • Balanced spacing helps reviewers scan several qualification types without crowding.

Best For

  • Mixed experience and skills content
  • Compact professional resumes
  • Side-by-side section comparison
  • Several concise credential groups
  • Readers who value visual balance
 

#6 Photo Header Two Column Format Resume Example

A photo header introduces the person visually while two body columns help recruiters scan major resume sections in parallel.

 
Resume Example Page 1   Resume Example Page 2

Why This Format Works

  • Two body columns separate career evidence from shorter supporting sections.
  • The header photo identifies the person without controlling the body reading order.
  • Column structure gives experience, skills, and credentials clear visual separation.

Best For

  • Regions where professional photos are expected
  • Compact multi-section resumes
  • Clear separation of main and supporting content
  • International resume conventions
  • Readers reviewing dense qualification sets
 

#7 Simple Two Column Format Resume Example

A simple two-column layout gives recruiters quick access to supporting sections while keeping the main experience content easy to trace.

 
Resume Example Page 1   Resume Example Page 2

Why This Format Works

  • Two-column organization reduces long vertical stretches between important resume sections.
  • Experience remains easy to trace while shorter qualifications sit nearby.
  • Separate areas help education, skills, and credentials stay visible during scanning.

Best For

  • Resumes with many short sections
  • Quick access to supporting qualifications
  • Moderate content volume
  • Clear experience-to-skills balance
  • Professional applications needing compact structure
 
 

Why Build Your Analyst, Reporting & Analytics Resume with ResumeInMinutes

ResumeInMinutes helps you turn technical work, business impact, tools, and credentials into a resume that is easy to scan and simple to customize.

  • ATS-friendly section structure
  • Keyword-focused resume content
  • Experience and skills organization
  • Projects and certifications support
  • Free PDF resume previews
  • Resume customization support

You can adapt the content to highlight reporting ownership, data quality work, business intelligence dashboards, ETL changes, analytical workflows, and decision-ready communication that match your real background.

 

See Also

 

Frequently Asked Questions

Are these Analyst, Reporting & Analytics resume templates ATS-friendly?

Yes. The formats use clear sections and readable headings that support ATS parsing. Your strongest results still depend on using accurate keywords and simple formatting in the final resume.

Are these different resumes?

No. The guide shows one complete Analyst, Reporting & Analytics resume in different visual formats so you can compare how the same evidence is organized.

What should an Analyst, Reporting & Analytics resume include?

Include a focused summary, relevant experience, skills, education, certifications, and projects when useful. Show how your analysis, reporting, data quality, and business intelligence work supported decisions or improved reporting.

Can I download the resume templates as PDFs?

Yes. Each resume style includes a free PDF download so you can review the format before adapting it to your own application.

Which resume style works well for reporting and analytics roles?

A clean one-column format is useful when you want a direct reading order. A two-column format can work well when you need compact space for skills and credentials while keeping experience easy to find.

How should I show technical skills without making the resume hard to read?

Group related skills in a clear skills section, then prove the most important ones in experience bullets. For example, connect SQL, Python, Tableau, Looker, Excel, or ETL to real reporting and analysis work.

Should I include a photo on my resume?

For U.S. applications, a no-photo resume is generally the safer choice. Use a photo only when it is customary or expected in the country or market where you are applying.

Can I customize these resume templates?

Yes. You can adjust the text and visual style to match your experience while keeping the resume focused on the target Analyst, Reporting & Analytics role.

ATS score 75%

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 = 100 × (confirmed matches + 0.8 × possible matches) ÷ total keywords, rounded and capped at 100. Possible matches still need checking. Saved generation audits use their saved keyword percentage.
  • 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%

Live keyword match: 35 of 60 (58%) · Resume quality: 100%

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

Details
  • ✓Name present: Lyla Le
  • ✓Email format: lyla.le@example.com
  • ✓Phone format: (215) 555-4826
  • ✓Experience 1: Job title: Reporting and Analytics Analyst
  • ✓Experience 1: Company name: BrightWave Ad Systems
  • ✓Experience 1: Employment dates: July 2024 - Present
  • ✓Experience 1: Description or achievements: Present
  • ✓Experience 2: Job title: Data Analyst
  • ✓Experience 2: Company name: Northstar Digital Media
  • ✓Experience 2: Employment dates: October 2022 - June 2024
  • ✓Experience 2: 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
Lyla Le
(215) 555-4826
lyla.le@example.com
linkedin.com/example/lylale
Philadelphia, PA 19103
SUMMARY
Reporting and analytics professional with four years of experience turning digital advertising and media data into practical decisions for commercial, product, operations, and finance teams. Advanced SQL, Python, Excel, Tableau, and Looker support large dataset analysis, automated reporting, ETL development, data quality controls, and executive reporting. Work across digital video marketplaces includes inventory availability, sell through patterns, yield signals, revenue analysis, and source system changes. Python validation routines have caught anomalies before executive reporting, while governed AI assisted workflows have supported faster trend exploration. Clear narratives help technical and business audiences weigh growth opportunities, reporting improvements, and product priorities. Collaborative delivery with engineering and product partners keeps metric definitions consistent and useful. This combination of analytical judgment, communication, and practical delivery can support reliable insights and better decisions across a growing media marketplace.
EXPERIENCE
Reporting and Analytics Analyst
BrightWave Ad Systems
July 2024 - Present
Philadelphia, PA
Owns marketplace reporting for digital video inventory, supporting sales, operations, product, finance, and executive decisions through governed metrics, dashboards, validation workflows, and source system change management.
Built SQL metric views and Tableau dashboards for digital video inventory reporting across stakeholder teams
Created Python validation routines that caught source anomalies before monthly executive reporting and remediation
Developed Looker reporting for inventory availability, sell through patterns, and yield signals across marketplace operations
Reworked ETL logic after event schema changes, preserving historical metric continuity for recurring business reporting
Evaluated AI assisted trend workflows with governed SQL checks before observations reached business users
Translated analysis into concise decision narratives that clarified growth opportunities for product and commercial leaders
Data Analyst
Northstar Digital Media
October 2022 - June 2024
Pittsburgh, PA
Analyzed advertising delivery, revenue, and inventory data for digital properties, combining SQL, advanced Excel, Python, Tableau, and ETL workflows to guide media operations and client reporting.
Analyzed delivery, revenue, and inventory datasets with SQL and advanced Excel for monetization decisions
Created Tableau dashboards that unified weekly reporting for media operations and client facing teams
Used Python to clean, join, and profile source extracts, reducing manual reconciliation in recurring workflows
Built ETL routines for new ad serving fields, validating rows, dimensions, and metric definitions
Prepared business review narratives that converted inventory utilization findings into clear strategic options
Partnered with product and engineering contacts to test reporting changes and confirm operational data quality
PROJECTS
Digital Video Marketplace Health Reporting
2025
Created a governed reporting concept for marketplace health, combining inventory availability, sell through, yield, and source validation signals in accessible business intelligence views.
AI Assisted Trend Exploration Workflow
2024
Evaluated a controlled analytical workflow that paired natural language trend exploration with SQL checks, helping business users review observations with clear data validation.
LEADERSHIP & AWARDS
Recognized by commercial stakeholders for dependable marketplace reporting and clear executive level analytical narratives.
Selected by product and engineering partners to support reporting changes, metric definitions, and data quality reviews.
Earned Tableau Desktop Specialist certification after demonstrating practical dashboard development and visualization knowledge.
EDUCATION
Bachelor's Degree in Business Analytics
Temple University
GPA: 3.8
2022
Philadelphia, PA
Coursework: SQL, Python, business intelligence, data visualization, statistical analysis
CERTIFICATIONS
Tableau Desktop Specialist
2024
Google Advanced Data Analytics Professional Certificate
2023
TECHNICAL SKILLS
Query and Scripting: SQL, Python, R
Business Intelligence: Looker, Tableau, dashboard design
Spreadsheet Analysis: Advanced Excel, pivot tables, lookup formulas
Data Integration: ETL, source mapping, schema changes
Data Quality: Validation routines, profiling, reconciliation
Advertising Analytics: Digital advertising, campaign delivery, revenue analysis
Media Marketplace: Digital TV metrics, inventory management, yield analysis
Reporting Automation: Automated reporting, recurring metrics, scheduled views
Data Visualization: Tableau dashboards, Looker reports, executive reporting
Advanced Analytics: AI assisted analytics, trend discovery, analytical workflows
Stakeholder Delivery: Business reviews, acceptance criteria, strategic discussions
SKILLS
SQL
Python
R
Looker
Tableau
Advanced Excel
ETL
Data Analysis
Data Quality
Digital Advertising
Inventory Management
Yield Analysis
Automated Reporting
Data Visualization
Strategic Thinking
PROFESSIONAL AFFILIATIONS
Analytics community participant focused on practical reporting, data quality, and business intelligence methods.
Digital advertising technology practitioner engaged with marketplace measurement, inventory analysis, and yield topics.
LANGUAGES
English (Native)
Vietnamese (Proficient)
ADDITIONAL INFORMATION
Work Status
: Authorized to work in United States. No sponsorship required.
REFERENCES
AVAILABLE ON REQUEST

Matched keywords (35)

  • Reporting
  • analytics
  • analysis
  • executive
  • growth opportunities
  • sales
  • inventory management
  • Digital TV
  • Looker
  • Tableau
  • large dataset
  • SQL
  • advanced Excel
  • trend
  • automated reporting
  • ETL
  • data quality
  • dashboards
  • Python
  • R
  • strategic discussions
  • Bachelor's Degree
  • Data Analysis
  • advertising technology
  • communication
  • Strategic Thinking
  • analytical judgment
  • United States
  • Tableau Desktop Specialist
  • Google Advanced Data Analytics Professional Certificate
  • digital video inventory
  • sell through
  • revenue
  • data visualization
  • executive reporting

Missing keywords (25)

  • digital advertising marketplace
  • business data
  • platform data
  • actionable insights
  • internal teams
  • external clients
  • yield strategies
  • product improvements
  • process improvements
  • business metrics
  • sales performance
  • business health
  • data cleanliness
  • AI powered analytics
  • data driven decisions
  • quantitative field
  • 2 to 5 years
  • business outcomes
  • BI visualization
  • problem solving
  • organization
  • collaboration
  • attention to detail
  • work authorization
  • stakeholder communication
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.

Terms and Conditions
 
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