Top 10 Entry-Level Data Analyst Resume Examples

Charles Bush
(312) 555-XXXX
charles.bush@example.com
charlesbush
Chicago, IL 60614
SUMMARY
Statistics student and early career data analyst focused on turning spreadsheet data into clear business insights. Use SQL, Python, and Excel to clean and analyze datasets, then build Tableau and Power BI dashboards and reports for varied audiences. Academic projects in retail operations and statistics include data validation, exploratory analysis, and concise presentations that explain findings, assumptions, and limitations.
EDUCATION
Bachelor of Science in Statistics, expected December 2026
2026
DePaul University
Chicago, IL
TECHNICAL SKILLS
Programming Languages: Python, R, Java, C++
Query Languages: SQL, T-SQL, PostgreSQL SQL
Spreadsheets: Microsoft Excel, Google Sheets, LibreOffice Calc
Business Intelligence: Power BI, Tableau, Looker Studio
Python Data Libraries: pandas, NumPy, Matplotlib
Statistical Software: RStudio, JASP, IBM SPSS Statistics
Data Visualization: Seaborn, Plotly, ggplot2
Relational Databases: Microsoft SQL Server, PostgreSQL, MySQL
File Formats: CSV, JSON, Apache Parquet
Notebook Environments: Jupyter Notebook, Google Colab, R Markdown
SKILLS
Data analysis
Business insights
Data cleaning
Data visualization
Reporting
Dashboard development
Data storytelling
Spreadsheets
Excel
SQL
Python
Tableau
Power BI
Statistics
Business operations
EXPERIENCE
Data Analyst, Capstone Project
Jan 2026 - Oct 2026
University Analytics Capstone Project
Chicago, IL
Analyzed a faculty provided retail operations dataset with SQL and Python, standardizing dates, resolving duplicate records, and documenting data cleaning decisions before evaluating sales and inventory patterns.
Created interactive Tableau and Power BI reporting dashboards with clearly labeled filters and visualizations, allowing a student review group to compare product and monthly trends.
Presented business insights through a concise data storytelling brief, connecting findings to practical inventory planning questions and noting limitations in the source data.
Used exploratory data analysis and statistical analysis to examine spreadsheet data, validate results, identify patterns, and answer business questions about retail sales and inventory.
Data Analyst, Academic Project
Aug 2025 - Dec 2025
Statistics Department Course Project
Chicago, IL
Used Excel and SQL to combine and validate course datasets, applying statistical methods to examine relationships and explain which conclusions were supported by the available observations.
Built a Power BI dashboard and supporting report that translated analysis into visual summaries for a class presentation, with definitions and assumptions documented for review.
Used Python to check calculations against spreadsheet outputs, improving the reproducibility and clarity of the final analysis.
Data Analyst, Student Project
Jan 2025 - May 2025
Business Operations Data Case Study
Chicago, IL
Investigated a simulated business operations scenario using spreadsheet data, organizing inconsistent fields in Excel and using Python for basic data cleaning and exploratory analysis.
Summarized recurring patterns in a Tableau visualization and written report, tailoring the data storytelling to the case decision and separating observed results from recommendations.
LEADERSHIP, AWARDS & RECOGNITION
Dean’s List, 2024 and 2025.
Statistics Department Student Research Presentation, received faculty recognition for clear communication of findings, 2025.
Peer study group coordinator, organized weekly statistics review sessions and shared practice materials, 2025–2026.
Student volunteer, supported new student orientation and campus resource navigation, 2024.
CERTIFICATIONS
Google Data Analytics Professional Certificate
2025
Microsoft Certified: Power BI Data Analyst Associate
2026
PROFESSIONAL AFFILIATIONS
Student member, American Statistical Association, supporting engagement with statistical practice and student professional development.
Student member, Association for Computing Machinery, connecting academic interests in computing with a professional community.
LANGUAGES
English (Native)
Spanish (Intermediate)

Scarlett Simon
(412) 555-XXXX
scarlett.simon@example.com
scarlettsimon
Pittsburgh, PA 15213
SUMMARY
Early-career data analyst and data scientist with a statistics degree and university project experience in data analysis, machine learning, and visualization. Apply Python, statistical reasoning, and careful evaluation to examine datasets, compare model results, and explain findings. Built a generative AI prototype using Amazon SageMaker and assessed language model responses against 120 reviewed questions. Computer Vision research and Tableau and Power BI dashboards further demonstrate an evidence-based approach to communicating analytical results.
EDUCATION
Bachelor of Science in Statistics, Minor in Computer Science
2026
West Virginia University
Morgantown, WV
Coursework: Probability, statistical inference, mathematics, computer science, databases, machine learning, and data visualization
TECHNICAL SKILLS
Programming Languages: Python, SQL, R
Data Analysis Libraries: pandas, NumPy, SciPy
Machine Learning Libraries: scikit-learn, TensorFlow, PyTorch
Cloud and ML Platforms: Amazon SageMaker, AWS Lambda, Amazon S3
Data Visualization: Tableau, Microsoft Power BI, Matplotlib
Notebook Environments: Jupyter Notebook, Google Colab, Amazon SageMaker Studio
Database Systems: PostgreSQL, MySQL, SQLite
Development Tools: Git, GitHub, Visual Studio Code
Data File Formats: CSV, JSON, Parquet
Statistical Software: RStudio, JASP, Microsoft Excel
SKILLS
Data analysis
Data science
Statistics
Statistical inference
Logical reasoning
Generative AI
Large language models
Amazon SageMaker
Python
Machine learning
Computer Vision
Data preparation
Model evaluation
Data visualization
Technical presentations
EXPERIENCE
Data Scientist, LLM Application Project
Jan 2026 - May 2026
University Project
Morgantown, WV
Developed a generative AI prototype in Python to summarize curated course materials, using Amazon SageMaker to run experiments and organize the workflow for review.
Compared large language model responses against 120 manually reviewed questions, recording factual errors and response consistency to clarify where the prototype was useful and where human review remained important.
Presented findings and limitations in a concise project report, documenting data preparation, evaluation steps, and recommendations for future testing.
Computer Vision Research Assistant
Sep 2024 - Dec 2025
Academic Research
Morgantown, WV
Prepared and quality-checked a labeled image dataset for a supervised Computer Vision study, using Python scripts to identify inconsistent labels and document exclusions.
Compared baseline image-classification models with held-out validation data and statistical measures, giving the faculty supervisor a consistent basis for reviewing model performance.
Summarized experiment results with charts and reproducible notes, helping the research group explain tradeoffs in a student poster presentation.
Data Analyst, Statistics Capstone
Jan 2024 - May 2024
Capstone Project
Morgantown, WV
Analyzed a public transportation dataset with Python and descriptive statistics to identify patterns in ridership by route, time, and service day.
Built Tableau and Power BI dashboards with clear filters and labeled measures, making the analysis accessible to classmates and faculty reviewers.
Presented data limitations, statistical findings, and practical recommendations in a final report, earning strong evaluation for clarity and sound analytical reasoning.
LEADERSHIP, AWARDS & RECOGNITION
Dean's List, West Virginia University, 2024-2025.
Honorable Mention, Undergraduate Research Poster Session, 2025, for clear presentation of Computer Vision evaluation results.
Peer Mentor, Statistics Learning Community, 2025-2026, leading small-group review sessions on statistical reasoning and introductory Python.
Workshop Coordinator, Student Data Science Society, 2024-2025, arranging peer-led demonstrations of data visualization and project presentation techniques.
CERTIFICATIONS
AWS Educate: Getting Started with Machine Learning
2025
IBM SkillsBuild: Artificial Intelligence Fundamentals
2024
PROFESSIONAL AFFILIATIONS
Student member, American Statistical Association, supporting continued engagement with statistical methods and the profession.
Student member, Association for Computing Machinery, participating in a professional community focused on computing and data science.

Rowan Duran
(501) 555-XXXX
rowan.duran@example.com
rowanduran
Little Rock, AR 72204
SUMMARY
Computer science graduate with academic experience in data quality, statistical analysis, and analytical support for structured and image-based datasets. Build repeatable checks with Python and PySpark, use Databricks and Snowflake to profile and validate records, and present findings through Power BI and Tableau. Project experience includes preparing Computer Vision datasets and evaluating a Gen AI and large language model prototype for human review of quality exceptions. Translate course and research requirements into tested workflows, documented findings, and clear visual reports, with results checked against validation rules and sampled source records.
EDUCATION
Bachelor of Science in Computer Science
2026
University of Central Arkansas
TECHNICAL SKILLS
Programming Languages: Python, SQL, Scala
Data Processing: Apache Spark, PySpark, Hadoop
Data Platforms: Databricks, Snowflake, Amazon Redshift
Business Intelligence: Power BI, Tableau, Looker
Cloud Services: Amazon SageMaker, Amazon S3, AWS Glue
Machine Learning: scikit-learn, TensorFlow, PyTorch
Computer Vision: OpenCV, Pillow, torchvision
Data Formats: JSON, CSV, Apache Parquet
Databases: PostgreSQL, MySQL, SQLite
Development Tools: Jupyter, Git, Visual Studio Code
SKILLS
Data quality profiling
Data validation
Statistical analysis
Python
PySpark
Databricks
Snowflake
Power BI
Tableau
Data visualization
Computer Vision
Generative AI
Large language models
Amazon SageMaker
Analytical support
EXPERIENCE
Data Quality Analyst Capstone Project
Jan 2026 - May 2026
University Data Quality Capstone
Little Rock, AR
Built a Python and PySpark profiling workflow in Databricks for a synthetic, 85,000-row service dataset, checking completeness, duplicate records, format consistency, and outliers before downstream analysis.
Loaded curated tables into Snowflake and used documented validation rules to reconcile source and transformed records, giving faculty reviewers a repeatable way to trace exceptions.
Created Power BI dashboards showing defect categories, affected fields, and review status, then tested the reports against sampled records and presented findings to a class review panel.
Data Quality Analyst Research Project
Aug 2025 - Dec 2025
University Research Project
Little Rock, AR
Evaluated whether a Gen AI and LLM prototype could assign preliminary categories to data quality exceptions, using a small, de-identified research dataset and human review of suggested labels.
Prepared a baseline classification experiment in Amazon SageMaker and compared model outputs with manually labeled examples, documenting error patterns and limits before recommending the prototype only for reviewer support.
Presented the evaluation method, findings, and documentation to a faculty research group, distinguishing experimental results from verified data quality findings.
Data Quality Analyst Computer Vision Project
Jan 2025 - May 2025
Computer Vision Course Project
Conway, AR
Audited a 12,000-image course dataset for missing labels, duplicate files, inconsistent categories, and image readability, applying Python scripts and statistical summaries to prioritize review.
Tested a Computer Vision preparation pipeline on sampled images and recorded how label corrections and exclusion rules affected the project dataset, producing a reusable quality checklist for the team.
Data Quality Analyst Reporting Project
Sep 2024 - Dec 2024
Analytics Course Project
Conway, AR
Used Statistics and Python to examine a classroom retail dataset, identify inconsistent product and date fields, and document assumptions before summarizing the data.
Built a Tableau dashboard to explain exception counts and data completeness to classmates, cross-checking displayed totals against source records and a separate Power BI report.
LEADERSHIP, AWARDS & RECOGNITION
Dean's List, University of Central Arkansas, 2024-2026.
Undergraduate Research Poster Presenter, Computer Science and Mathematics Showcase, 2025.
Peer Mentor, Computer Science study group, 2025-2026, sharing study resources and helping classmates practice introductory programming and statistics.
Student Data Society project coordinator, 2025, organizing peer feedback sessions for class data visualization projects.
CERTIFICATIONS
Databricks Lakehouse Fundamentals
2025
AWS Academy Machine Learning Foundations
2025
PROFESSIONAL AFFILIATIONS
Student member, Association for Computing Machinery (ACM), University of Central Arkansas community.
Student member, Institute of Electrical and Electronics Engineers (IEEE), University of Central Arkansas community.

Andres Mosley
(414) 555-XXXX
andres.mosley@example.com
andresmosley
Milwaukee, WI 53202
SUMMARY
Public health graduate with academic and supervised practicum experience in healthcare data analysis, including claims, clinical, and EMR datasets. Prepare and validate data with SQL, then use Power BI and Tableau to present findings through clear reports and dashboards. Statistical analysis of service use has helped identify trends, patterns, and anomalies for review, with chart totals checked against source tables and limitations documented. In practicum and academic settings, clarify project requirements with faculty and analyst partners, share findings with remote teams, and handle confidential information under HIPAA requirements and data security protocols. Hold a Bachelor of Science in Public Health and bring a careful, problem-solving approach to accurate, useful health data.
EDUCATION
Bachelor of Science in Public Health
2025
University of Wisconsin-Milwaukee
Milwaukee, WI
TECHNICAL SKILLS
Query Languages: SQL, T-SQL, PostgreSQL SQL
Relational Databases: Microsoft SQL Server, PostgreSQL, MySQL
Data Visualization: Power BI, Tableau, Microsoft Excel charts
Spreadsheet Software: Microsoft Excel, Google Sheets, LibreOffice Calc
Statistical Software: R, RStudio, IBM SPSS Statistics
Data Formats: CSV, JSON, XML
Database Connectivity: ODBC, JDBC, Microsoft OLE DB
Microsoft Power Platform: Power Query, Power Pivot, DAX
Healthcare Data Standards: HL7, FHIR, ICD-10
Reporting and Database Tools: SQL Server Management Studio, pgAdmin, MySQL Workbench
SKILLS
Healthcare data analysis
Claims and EMR data
Data validation
SQL querying
Power BI dashboards
Tableau visualization
Statistical analysis
Data integrity
Anomaly identification
HIPAA privacy
Data security
Confidentiality
Remote collaboration
Project clarification
Analytical problem-solving
EXPERIENCE
Healthcare Data Analyst Intern
May 2025 - Aug 2025
University Health Data Practicum
Madison, WI
Prepared claims and EMR extracts for a supervised quality review, using SQL to retrieve and manipulate records in relational databases and applying documented checks to identify missing, inconsistent, or duplicated values.
Cleaned, validated, and processed dataset fields with senior analyst guidance, preserving accuracy and integrity for downstream review while documenting each transformation.
Followed HIPAA privacy requirements and data security protocols when working with confidential health information in a restricted-access project environment.
Clarified project requirements with faculty and analyst partners, tracked assigned analytical tasks, and shared concise findings through remote team check-ins.
Healthcare Data Analyst, Capstone Project
Jan 2025 - May 2025
Healthcare Data Capstone Project
Milwaukee, WI
Analyzed a de-identified clinical dataset to examine service-use patterns, applying basic statistical analysis to distinguish trends from outliers and flag potential anomalies for review.
Built and maintained a Power BI dashboard with filters and summary visuals, translating project questions into an accessible report for a faculty review panel.
Validated chart totals against source tables and documented limitations so viewers could interpret results without overstating what the data showed.
Healthcare Data Analyst, Course Project
Sep 2024 - Dec 2024
Health Statistics Course Project
Milwaukee, WI
Used Tableau to visualize a public health dataset, selecting chart types that made comparisons and patterns easier to evaluate during a class presentation.
Organized source data and checked calculations against the project specifications, applying problem-solving and attention to detail to resolve inconsistent category labels.
Presented the analysis and its limitations to classmates, responding to questions about the methods and interpretation of results.
LEADERSHIP, AWARDS & RECOGNITION
Earned Dean's List recognition at the University of Wisconsin-Milwaukee from 2023 to 2025.
Named a finalist in the Undergraduate Public Health Poster Session in 2025.
Facilitated a Public Health Student Association peer study group from 2024 to 2025, helping classmates review course material.
Volunteered at a campus community health data literacy workshop in 2024, helping participants engage with health data.
CERTIFICATIONS
HIPAA Privacy and Security Training, University Health Data Practicum
2025
Microsoft Learn Power BI Data Analyst learning path
2025
SQL for Relational Databases, University of Wisconsin-Milwaukee Continuing Education
2024
Tableau Fundamentals, University of Wisconsin-Milwaukee Continuing Education
2024
PROFESSIONAL AFFILIATIONS
Member, American Public Health Association, engaging with public health research and professional resources.
Member, American Statistical Association, connecting with statistical methods and data analysis resources.
LANGUAGES
English (Proficient)
Spanish (Intermediate)

Connor Huff
(608) 555-XXXX
connor.huff@example.com
connorhuff
Madison, WI 53703
SUMMARY
Recent statistics graduate and entry-level Data Analyst with practical experience turning spreadsheet data and business questions into clear analysis, dashboards, and useful findings. Use SQL and Python to clean and explore datasets, and Excel to check results before communicating patterns through Tableau and Power BI. Applied statistics and data management coursework supports careful interpretation of measures and transparent analysis. Across retail operations, service operations, and survey research projects, present findings in concise reports and data storytelling briefs that help nontechnical audiences consider business insights. Document data cleaning decisions, analytical choices, and limitations so conclusions remain clear and grounded in the available evidence.
EDUCATION
Bachelor of Science
2025
University of Wisconsin-Madison
Madison, WI
Coursework: Applied statistics, probability, data management, statistical methods
TECHNICAL SKILLS
Query Languages: SQL, T-SQL, PostgreSQL SQL
Programming Languages: Python, R, JavaScript
Python Data Libraries: pandas, NumPy, SciPy
Statistical Tools: statsmodels, scikit-learn, Jupyter
Spreadsheet Software: Microsoft Excel, Google Sheets, LibreOffice Calc
Business Intelligence: Power BI, Tableau, Looker Studio
Data Visualization Libraries: Matplotlib, Seaborn, Plotly
Relational Databases: PostgreSQL, MySQL, SQLite
Data Formats: CSV, JSON, Microsoft Excel XLSX
Notebook Platforms: Jupyter Notebook, Google Colab, RStudio
SKILLS
Data analysis
SQL
Python
Excel
Spreadsheets
Data cleaning
Data visualization
Dashboards
Tableau
Power BI
Statistics
Data quality
Business analysis
Data storytelling
Communication
EXPERIENCE
Data Analyst, Applied Portfolio Project
Jan 2026 - Oct 2026
Student Data Lab
Madison, WI
Analyzed a 24,000-row sample of retail operations data with SQL and Python, resolving inconsistent dates, duplicate records, and missing category values before comparing weekly demand patterns.
Created reporting dashboards in Power BI and Tableau to show product and fulfillment trends, adding clear labels and filters so viewers could explore results without relying on static spreadsheets.
Used Excel to cross-check summary tables, then presented a data storytelling brief that connected observed order patterns with practical questions for business operations planning.
Data Analyst, Capstone Project
Jan 2025 - May 2025
University Project
Madison, WI
Converted a spreadsheet-based service operations dataset into a documented analysis workflow, using SQL queries and Python checks to clean records and confirm consistent definitions for key measures.
Applied descriptive statistics to compare workload patterns across service categories, highlighting outliers and recurring trends for a faculty-reviewed business insights presentation.
Built a Tableau dashboard and accompanying written report, explaining the data visualization choices and limitations in accessible language for a nontechnical audience.
Data Analyst, Research Project
Sep 2024 - Dec 2024
Academic Research
Madison, WI
Organized a course research dataset in Excel and Python, documenting data cleaning decisions and checking summary values before statistical analysis.
Examined patterns in a sample of 1,500 survey responses using foundational statistical methods, then created charts and a concise presentation to communicate findings and caveats.
LEADERSHIP, AWARDS & RECOGNITION
Dean's List, Fall 2023 and Spring 2024.
Received faculty recognition for clear communication at the Statistics Capstone Showcase in 2025.
Tutored introductory statistics study sessions at the University of Wisconsin-Madison, 2024-2025.
Coordinated Statistics Student Association workshops for student-led study and presentation sessions, 2024-2025.
CERTIFICATIONS
Google Data Analytics Professional Certificate
2025
Microsoft Learn, Power BI Data Analyst learning path
2026
PROFESSIONAL AFFILIATIONS
Member, American Statistical Association, engaging with professional resources and developments in statistics.
Member, Association for Computing Machinery Special Interest Group on Knowledge Discovery and Data Mining (ACM SIGKDD), connecting with the data mining community.
LANGUAGES
English (Native)
Spanish (Intermediate)

Ezekiel Curtis
(215) 555-XXXX
ezekiel.curtis@example.com
ezekielcurtis
Philadelphia, PA 19122
SUMMARY
Early career Marketing Data Analyst with nearly two years of project based experience turning financial services marketing data into campaign and sales insights. Apply business analytics and account based marketing knowledge to review intent signals, validate CRM data, and develop recurring reports and dashboards. Collaborate with marketing, sales, operations, and technology partners to explain findings, resolve platform issues, and document practical recommendations. Recent university projects used 6sense, Bombora, Salesforce CRM, Power BI, Excel, and Tableau to examine audience segments, campaign performance, and pipeline activity, including tests of AI enabled analytics and workflow automation.
EDUCATION
Bachelor of Science in Business Analytics
2025
Temple University
GPA: 3.8
Philadelphia, PA
TECHNICAL SKILLS
Marketing Platforms: 6sense, Bombora, Salesforce CRM
Business Intelligence: Power BI, Tableau, Microsoft Excel
CRM and Sales Platforms: Salesforce Sales Cloud, Salesforce Reports, Salesforce Dashboards
Data Analysis Tools: Microsoft Power Query, Tableau Prep, Microsoft Analysis ToolPak
Spreadsheets: Excel PivotTables, Excel Power Query, Excel charts
Data Formats: CSV, JSON, XML
Query and Scripting Languages: SQL, Python, JavaScript
Visualization Components: Power BI Desktop, Power BI Service, Tableau Desktop
Cloud Data Services: Microsoft Azure, Amazon S3, Google BigQuery
Marketing Data Integrations: Salesforce Data Loader, REST API, SOAP API
AI and Automation Tools: Microsoft Power Automate, Salesforce Flow, Salesforce Einstein
SKILLS
Marketing analytics
Business analytics
Marketing reporting
Account based marketing
Demand generation
Marketing automation
Audience segmentation
Predictive model monitoring
Intent data analysis
Campaign performance
Pipeline analysis
Data validation
CRM workflows
Marketing data integration
Platform troubleshooting
EXPERIENCE
Marketing Data Analyst Practicum Project
Feb 2026 - Oct 2026
Temple University Marketing Analytics Lab
Philadelphia, PA
Used instructional access to 6sense and simulated financial services account data to maintain keyword lists and recurring ABM campaign reports, helping the project team compare account engagement across campaign segments.
Reviewed 6sense predictive model signals and Bombora intent topics, then organized audience clusters and documented targeting observations for marketing and sales review.
Mapped 6sense insights and Bombora data flows into a Salesforce training environment, checking field relationships and record consistency before connecting selected reporting views to Power BI.
Built Power BI dashboards for campaign performance, pipeline activity, and key business metrics; presented findings from intent and engagement data as practical recommendations for campaign planning.
Investigated sample integration and reporting issues, coordinated resolution steps with classmates acting as platform vendors and internal stakeholders, and recorded outcomes and process updates.
Tested an AI enabled workflow and basic automation for organizing marketing analytics insights, checking generated outputs against source records and documenting appropriate review steps.
Marketing Data Analyst Capstone Project
Aug 2025 - Dec 2025
Temple University Business Analytics Capstone
Philadelphia, PA
Analyzed a large, instructor provided financial services marketing dataset in Excel and Tableau to compare campaign engagement and identify patterns relevant to demand generation.
Created recurring reports and a dashboard prototype that connected intent and engagement indicators with campaign outcomes, translating findings into recommendations for a mock marketing and sales team.
Examined Salesforce CRM sample objects, data structures, reporting capabilities, and system relationships; recorded validation checks that improved consistency across project reports.
Presented results to faculty and classmates, explaining data limitations, audience segmentation choices, and how marketing automation and account based marketing concepts could inform follow up.
Salesforce Reporting Project Analyst
Jan 2025 - May 2025
Temple University Marketing Operations Course Project
Philadelphia, PA
Built a Salesforce CRM reporting exercise from a simulated campaign dataset, using Excel to check records, identify missing values, and prepare consistent fields for dashboard analysis.
Developed a Tableau dashboard and a Power BI comparison view to summarize campaign response and pipeline activity, then documented the measures and refresh steps for classmates.
Practiced troubleshooting CRM workflow and data integration scenarios, organizing issues by cause and tracking each sample case through resolution.
LEADERSHIP, AWARDS & RECOGNITION
Named to the Temple University Dean's List for the 2024–2025 academic year.
Recognized for clear, actionable analysis at the 2025 Business Analytics Capstone Showcase.
Coordinated a student led analytics study group in 2025–2026, sharing dashboard review and data validation practices with peers.
Volunteered as a peer mentor for incoming Business Analytics students in 2025, helping with course projects and campus resources.
CERTIFICATIONS
Google Data Analytics Professional Certificate, Coursera
2025
Microsoft Learn: Prepare and Visualize Data with Power BI
2026
Salesforce Trailhead: CRM and Reports & Dashboards badges
2025
PROFESSIONAL AFFILIATIONS
Student member of the American Marketing Association, engaging with a professional community focused on marketing practice and development.
Student member of the Association for Information Systems, participating in an academic community centered on information systems and analytics.
LANGUAGES
English (Native)
Spanish (Beginner)

Jaiden Klein
(520) 555-XXXX
jaiden.klein@example.com
jaidenklein
Tucson, AZ 85719
SUMMARY
Public health graduate with project experience preparing accurate, traceable clinical study data for research review. Apply clinical trial fundamentals, Good Clinical Practice, and data standards to validate, clean, map, and summarize information from simulated EDC exports and laboratory reports. Use Excel, SAS, R, and Python for data checks and basic statistical analysis, then present findings through clear reports and visualizations. In faculty guided capstone and supervised research, document decisions, flag anomalies, and share results with student and faculty teams. Hold a Bachelor of Science in Public Health and completed GCP and CDISC and SDTM training. Authorized to work in the United States without sponsorship.
EDUCATION
Bachelor of Science in Public Health
2025
University of Arizona
Tucson, AZ
TECHNICAL SKILLS
Spreadsheets: Microsoft Excel, Google Sheets, LibreOffice Calc
Statistical Programming: SAS, R, Python
Data Visualization: Tableau, Power BI, Microsoft PowerPoint
Clinical Data Standards: CDISC SDTM, CDISC CDASH, CDISC Controlled Terminology
Clinical Data Capture: REDCap, OpenClinica, Medidata Rave
Data File Formats: CSV, Microsoft Excel XLSX, JSON
Database Query Languages: SQL, SQLite, PostgreSQL
Statistical Packages: RStudio, SAS Studio, Jupyter Notebook
Laboratory Data Formats: HL7, LOINC, FHIR
Documentation Software: Microsoft Word, Microsoft OneNote, Google Docs
SKILLS
Clinical data validation
Clinical data cleaning
Clinical data mapping
Clinical study reporting
Study data summaries
Clinical trial phases
Clinical research fundamentals
Good Clinical Practice
Data quality review
Basic statistical analysis
Pattern detection
Anomaly review
Data management documentation
Written research communication
Clinical team coordination
EXPERIENCE
Clinical Data Analyst, Student Capstone
Oct 2024 - May 2025
Capstone Project
Tucson, AZ
Built a study ready dataset from simulated EDC exports and laboratory reports for a faculty guided clinical trial case study, using Microsoft Excel to check completeness, standardize fields, and document data cleaning decisions.
Mapped selected variables to CDISC SDTM concepts and recorded field definitions and transformation rules, giving the student team a consistent reference for reviewing the dataset and checking clinical data consistency.
Applied SAS and R to produce descriptive statistical analyses, review trends, and flag patterns and anomalies for faculty assessment; summarized findings in routine study reports without presenting simulated results as patient outcomes.
Drafted data management procedure notes aligned with project SOPs, GCP principles, and regulatory requirements, then presented validation steps and limitations in a final written report and class presentation.
Clinical Data Analyst, Supervised Research Project
Jan 2024 - Dec 2024
University Research Lab
Tucson, AZ
Supported a faculty supervised public health study by organizing a de identified, 140 record research dataset and comparing collected fields with study documentation and applicable data handling procedures.
Used Excel and Python to identify missing values, inconsistent category labels, and potential data anomalies, creating a review log so the research team could assess issues before analysis.
Prepared summary tables and a Tableau dashboard for faculty and student reviewers, translating descriptive findings into clear visuals while noting the limits of the available data.
Maintained versioned documentation of cleaning and mapping decisions and shared concise written and verbal updates at scheduled research reviews, coordinating data questions with the study team.
Clinical Research Data Analyst, Student Project
Aug 2023 - Dec 2023
Course Project
Tucson, AZ
Developed a mock clinical study data workflow for a biostatistics course, outlining clinical trial phases and demonstrating how EDC entries and laboratory reports could be checked against a study data dictionary.
Cleaned and mapped a synthetic dataset in Microsoft Excel, then used R to calculate descriptive statistics and identify patterns requiring further review.
Created a Power BI summary and a short report describing data quality checks, analysis choices, and findings for a student presentation.
LEADERSHIP, AWARDS & RECOGNITION
Public Health Department Academic Merit Recognition, University of Arizona, 2025.
Undergraduate Research Poster Presentation, faculty selected student presentation, 2024.
Peer Study Group Coordinator, Public Health program, 2024 to 2025: organized review sessions and shared course resources with classmates.
Student Research Forum Volunteer, University of Arizona, 2024: supported presenter check in and session coordination.
CERTIFICATIONS
Good Clinical Practice (GCP) Foundations, CITI Program
2025
Introduction to Clinical Data Standards: CDISC and SDTM, University Continuing Education
2025
PROFESSIONAL AFFILIATIONS
Student member, American Public Health Association, supporting continued engagement with public health research and practice.
Student member, Society for Clinical Data Management, connecting clinical research data interests with professional standards and resources.
ADDITIONAL INFORMATION
U.S. work authorization without sponsorship requirement.

Mila Allison
(414) 555-XXXX
mila.allison@example.com
milaallison
Milwaukee, WI 53202
SUMMARY
Recent data analyst graduate with nearly two years of supervised research and academic project experience analyzing AI agent outcomes and translating complex datasets into practical findings. Apply statistics, Python, R, and SQL to evaluate performance, refine data models, and build reports for technical and nontechnical audiences. Collaborate with research and product teams and an external community partner, respond to data requests, and explain findings with appropriate context. Hold a B.S. in Information Science and the Google Data Analytics Professional Certificate; authorized to work in the United States.
EDUCATION
Bachelor of Science in Information Science
2026
University of Wisconsin-Milwaukee
Milwaukee, WI
TECHNICAL SKILLS
Programming Languages: Python, R, SQL
Python Data Libraries: pandas, NumPy, SciPy
R Data Packages: ggplot2, dplyr, tidyr
Visualization Platforms: Tableau, Microsoft Power BI, Matplotlib
Relational Databases: PostgreSQL, MySQL, SQLite
Spreadsheet Software: Microsoft Excel, Google Sheets, LibreOffice Calc
Notebook Environments: Jupyter Notebook, Google Colab, RStudio
Statistical Software: statsmodels, scikit-learn, R base
Data Formats: CSV, JSON, XML
Version Control Platforms: Git, GitHub, GitLab
Database Connectivity: SQLAlchemy, DB-API, RSQLite
SKILLS
Data analysis
Statistical analysis
AI agent analytics
Agent evaluation
Data modeling
Database management
Complex dataset analysis
Data visualization
Custom reporting
Data quality validation
Research analysis
Actionable insights
Technical communication
Interpersonal communication
Data request response
EXPERIENCE
Data Analyst, AI Agent Analytics Capstone
Sep 2025 - May 2026
Capstone Project
Milwaukee, WI
Developed a reporting prototype for an AI agent evaluation project, combining Python analysis with a normalized SQL database to organize conversation, task-completion, and reviewer-feedback data.
Created tailored dashboards and concise reports for a faculty product team and an external community partner, helping both groups interpret agent performance measures and prioritize review areas.
Refined data models with project teammates after testing edge cases and inconsistent records; documented definitions and checks so results remained clear and reproducible.
Responded to partner data questions with timely, audience-specific explanations, turning complex findings into digestible recommendations without overstating what the analysis supported.
AI Data Analyst Research Assistant
Jan 2025 - Aug 2025
University AI Analytics Lab
Milwaukee, WI
Analyzed 4,800 simulated AI support-agent interactions with Python and R, applying descriptive statistics and classification concepts to identify response-quality patterns and recurring failure categories.
Built a SQL data model and documented validation checks for interaction, outcome, and feedback records, giving the research team a consistent foundation for agent-performance comparisons.
Presented visual summaries of trends and limitations to technical researchers and non-technical project reviewers, translating model evaluation findings into practical follow-up questions.
Data Analyst, Applied Statistics Project
Sep 2024 - Dec 2024
Course Project
Milwaukee, WI
Queried a public service-request dataset with SQL and analyzed trends in R, using exploratory analysis and statistical comparisons to examine differences across request categories.
Prepared a concise visualization report and presented data limitations and key findings to classmates with varied technical backgrounds, strengthening clear, professional communication.
LEADERSHIP, AWARDS & RECOGNITION
Selected for the University of Wisconsin-Milwaukee Dean’s List, Fall 2024 and Spring 2025.
Recognized by capstone faculty for clear, well-documented project analysis, Spring 2026.
Served as a peer mentor in the Information Science Student Peer Network, 2025–2026, supporting new students with study planning and project presentations.
Facilitated Information Science student project discussions in 2025, organizing peer feedback sessions for research and analytics presentations.
CERTIFICATIONS
Google Data Analytics Professional Certificate, Coursera
2025
Data Visualization with R, Coursera
2024
PROFESSIONAL AFFILIATIONS
Member, Association for Information Science and Technology, 2025–Present, engaging with professional resources and community discussions on information science.
Member, American Statistical Association, 2025–Present, participating in an organized professional community focused on statistical practice and data analysis.

Emily Barnes
(414) 555-XXXX
emily.barnes@example.com
emilybarnes
Milwaukee, WI 53202
SUMMARY
Business Analytics graduate focused on data analysis and business intelligence, with project experience preparing relational data for planning and performance reviews. Build SQL datasets, dashboards, and recurring reports that give reviewers consistent business metrics, with validation and documented definitions to make results traceable. Use Tableau, Looker, Power BI, spreadsheets, and Python automation to organize reporting and investigate data discrepancies. In team projects, clarify stakeholder questions, coordinate reporting requests remotely, and present findings in clear terms for nontechnical audiences. Hold a Bachelor of Business Analytics and bring hands-on experience with data modeling and warehouse-style datasets, from source preparation through dashboard delivery.
EDUCATION
Bachelor of Business Analytics
2025
University of Wisconsin-Milwaukee
Milwaukee, WI
TECHNICAL SKILLS
Query Languages: SQL, SQLite, PostgreSQL
Spreadsheets: Microsoft Excel, Google Sheets, LibreOffice Calc
Business Intelligence: Power BI, Tableau, Looker
Programming Languages: Python, R, JavaScript
Python Data Libraries: pandas, NumPy, openpyxl
Relational Databases: MySQL, Microsoft SQL Server, DuckDB
Data Warehouse Platforms: Google BigQuery, Amazon Redshift, Snowflake
Data Visualization Libraries: Matplotlib, Seaborn, Plotly
Data Exchange Formats: CSV, JSON, Parquet
Development Tools: Jupyter Notebook, Visual Studio Code, Git
SKILLS
SQL
Advanced spreadsheets
Relational data
Business metrics
Business intelligence
Tableau
Looker
Power BI
Data warehouses
Data modeling
Python
Reporting automation
Dashboard development
Data quality analysis
Remote request coordination
EXPERIENCE
Data Analyst, Business Intelligence Project
Jan 2026 - Present
University Project
Madison, WI
Developed a remote reporting project using public service and budget datasets, translating planning questions into SQL analyses and reusable reporting tables for review sessions.
Built dashboards in Power BI and Tableau, with a Looker prototype, to present shared business metrics and recurring performance trends in a consistent format.
Created a warehouse-style data model for relational source files, documenting table relationships and metric definitions so project reviewers could trace reported figures.
Automated recurring spreadsheet updates and quality checks with Python, comparing refreshed outputs to source records and flagging missing or inconsistent values.
Coordinated multiple reporting requests through a shared backlog, confirmed definitions with project stakeholders, and delivered accurate updates remotely.
Business Intelligence Data Analyst
Jan 2025 - Dec 2025
Capstone Project
Milwaukee, WI
Analyzed a semester-long retail operations dataset with SQL and spreadsheets, creating reusable datasets to examine sales, inventory movement, and service-level business metrics.
Produced a Power BI dashboard and recurring report pack for a simulated performance review, documenting filters and calculation rules to make comparisons consistent.
Investigated mismatched totals across source tables, corrected join logic, and validated revised outputs against transaction-level records before presenting findings.
Data Analyst Project Assistant
Sep 2023 - Dec 2024
Student Lab
Milwaukee, WI
Prepared relational course datasets for reporting exercises, using SQL queries and spreadsheet checks to standardize fields and identify incomplete records.
Modeled a small data warehouse for a campus-service case study, organizing fact and dimension tables to support repeatable queries and dashboard views.
Presented concise findings and metric definitions to classmates, emphasizing accuracy, traceable calculations, and clear explanations for nontechnical audiences.
LEADERSHIP, AWARDS & RECOGNITION
Dean's List, University of Wisconsin-Milwaukee, 2023-2025.
Best Poster, Undergraduate Analytics Showcase, 2025, recognized for clearly presenting project metrics and data validation methods.
Peer Mentor, Business Analytics Student Association, 2024-2025, shared study resources and project feedback with newer students.
Workshop Coordinator, Student Data Club, 2024, organized peer-led sessions on spreadsheet reporting and dashboard design.
CERTIFICATIONS
Google Data Analytics Professional Certificate, Coursera
2025
Python for Everybody Specialization, University of Michigan via Coursera
2024
PROFESSIONAL AFFILIATIONS
Student member, Business Analytics Student Association, 2024-2025, participating in a university community focused on analytics learning and peer exchange.
Student member, Student Data Club, 2024, contributing to an organized campus community for spreadsheet reporting and dashboard design.
LANGUAGES
English (Native)
Spanish (Intermediate)

Sergio Bryant
Business Data Analyst
(410) 555-XXXX
sergiobryant
sergio.bryant@example.com
Baltimore, MD 21224
STRENGTHS
Data integrity
Validated project records and documented sources, giving managers a dependable basis for reviewing cost and schedule information.
Analytical thinking
Used variance analysis to clarify budget and labor trends, helping project leads focus on the issues behind the reported figures.
Clear communication
Presented reports and findings in written and verbal updates, adjusting the detail to suit project teams and contractor contacts.
Stakeholder coordination
Worked through conflicting source details with vendors, contractors, and agency contacts to maintain complete reporting records.
Field awareness
Visited project locations to understand the context behind reported data and stay aligned with site procedures and safety programs.
SUMMARY
Entry-level business data analyst with three years of experience, including an internship, supporting construction project teams with decision-ready financial and operational information. Combine cost, labor, procurement, schedule, and field data, then use Excel, Power BI, and SQL to investigate trends and explain variances. Work with project leads and external partners to resolve conflicting records, maintain reliable reporting, and inform tactical and strategic decisions. Hold a Bachelor of Science in Finance and bring a careful approach to data integrity, communication, and established safety procedures.
EXPERIENCE
Business Data Analyst
Northstar Project Controls
Jun 2024 - Present
Baltimore, MD
Consolidate cost, labor, procurement, and schedule information from project and field teams, applying validation checks that give managers a dependable view of active construction work.
Build Microsoft Power BI dashboards and advanced Excel reports that present statistical and analytical information clearly for project reviews and management decisions.
Write SQL queries for recurring and ad hoc analysis, then investigate budget and labor trends with project leads to identify root causes and clarify corrective actions.
Coordinate multiple reporting requests with employees, contractors, vendors, suppliers, and government agency contacts, resolving conflicting source details while maintaining accurate records and professional communication.
Visit field locations as needed to understand reporting context and reinforce adherence to operating procedures and safety programs; accommodate routine sitting, standing, computer work, and occasional lifting up to 25 pounds.
Created a field cost variance view by joining labor and procurement records in SQL and Power BI, helping project leads spot recurring coding gaps and improve monthly reporting efficiency.
Business Data Analyst Intern
Redwood Building Partners
Aug 2023 - May 2024
Baltimore, MD
Combined project cost and procurement data in Excel for a supervised portfolio review, documenting data sources and correcting discrepancies with project coordinators.
Developed a Power BI prototype with project status and spending views, using stakeholder feedback to make key trends easier to interpret.
Prepared SQL extracts and summary reports for an internship analysis of schedule and cost variances, applying basic statistical analysis and root cause methods with guidance from a senior analyst.
Organized deliverables for several concurrent project requests and presented findings in written and verbal updates to employees and contractor contacts.
SKILLS
Statistical analysis
Power BI dashboards
Record accuracy
Independent problem solving
Stakeholder communication
Business data analysis
Construction analytics
Operational reporting
Project organization
Root cause analysis
Conflict resolution
Advanced Excel
Data integration
Trend analysis
SQL queries
LEADERSHIP, AWARDS & RECOGNITION
Recognized by the Redwood Building Partners project controls team in 2024 for accurate internship reporting and dependable follow-through.
Coordinated concurrent reporting requests and resolved conflicting source details with project contacts, contributing to reliable records and timely decision support.
EDUCATION
Bachelor of Science
University of Baltimore
2024
Baltimore, MD
CERTIFICATIONS
Microsoft Learn: Get Started with Microsoft Power BI
2024
Microsoft Office Specialist: Excel Associate
2023
TECHNICAL SKILLS
Spreadsheets: Microsoft Excel, Google Sheets, LibreOffice Calc
Business Intelligence: Microsoft Power BI, Tableau, Looker Studio
Query Languages: SQL, T-SQL, PostgreSQL SQL
Relational Databases: Microsoft SQL Server, PostgreSQL, MySQL
Data Analysis Libraries: Python, pandas, NumPy
Statistical Software: R, RStudio, SPSS
Data Preparation: Power Query, Microsoft Access, Alteryx
Reporting Platforms: Microsoft Report Builder, SSRS, Crystal Reports
Construction Software: Procore, Autodesk Construction Cloud, Oracle Primavera P6
Office Productivity: Microsoft Word, Microsoft PowerPoint, Microsoft Outlook
LANGUAGES
English
Native
Spanish
Intermediate
PROFESSIONAL AFFILIATIONS
Member, Association for the Advancement of Cost Engineering International, engaging with construction cost and project controls professionals.
Member, Institute of Management Accountants, connecting with professionals focused on financial analysis and business decision support.
ADDITIONAL INFORMATION
Authorized to work in the United States without employer sponsorship; available for field travel.