Data Analyst Resume Examples (Text Format)
Years of Experience
- 0
- 2-3
- 5-10
- 10+
Sam Wright
(123) 456-7890
youremail@example.com
123 Your Street, Seattle, WA 98106
Profile
Detail-oriented data analyst with an up-to-date understanding of database types, research methods and best practices for big data capture. Experienced at data curation, manipulation and display to turn business intelligence into understandable visualizations used by executives to identify areas ready for process improvements and reengineering.
Key Skills
Data management, including database creation, data quality assessment, pattern recognition, developing data visualizations
- Experienced with industry-standard research methods such as focus groups, surveys and data mining
- Expert user of IBM SPSS, HTML 5, Java, C++, Tableau, SAS and SQL
Education
Master of Science in Business Analytics
Cornell University, Ithaca, NY, September 2017 – June 2019
- Vice President of Operations Excellence, a student group dedicated to streamlining class registration and improving student life using technology
- Excelled at data collection and quality analysis during related coursework
Bachelor of Science in Statistics, GPA 3.85
University of Michigan, Ann Arbor, MI, September 2013 – June 2017
Professional Experience
Data Analyst I, Smith Hospital, Boulder, CO
December 2019 – Present
- Track and analyze multiple data points for patients in a 300-bed facility
- Coordinate with direct care staff to create automated systems to scrub patient data for HIPAA compliance
- Assist with the implementation of electronic medical records, reducing patient wait times by an estimated 16% upon project completion
- Monitor patient payment processes and conduct data mining activities to identify billing errors, reconciling accounts totaling more than $900 million annually
Health Care Claims Analyst, 123 Clinical Solutions, Ithaca, NY
January 2019 – November 2019
- Assessed policies and procedures through statistical modeling of transactional data sets, auditing patient accounts for accuracy
- Generated automated reporting for account issues and supporting documentation to help with account reconciliation
- Used audit results and identified errors to prepare reports on process slowdowns, helping provide incremental improvements at all points along the patient journey
Anna Jacobs
(123) 456-7890
youremail@example.com
123 Your Street, San Francisco, CA 94109
Profile
Health care focused data analyst with experience working with EHR/EMR programs to develop comprehensive reports surrounding patient care, billing and readmission risk factors. Using logistical model, LDA, QDA and tree classification designed a system that improved readmission forecasting accuracy by 22%.
Key Skills
- Data modeling
- Data mining
- SQL, SAS, Tableau
- Data warehousing
Education
Master of Science in Biostatistics
Georgetown University, Washington DC, January 2017 – January 2020
- Demonstrated excellence in predictive analysis using multiple, large data sets
- Designed and implemented a capstone project that identified registration errors and automated scheduling corrections, reducing student wait times by 13%
Bachelor of Science in Mathematics, GPA 3.59
University of Florida, Gainesville, FL, September 2013 – June 2017
Professional Experience
Data Analyst I, Agriculture Co., Washington DC
January 2020 – Present
- Used logistic regression to improve customer preference predictions, maximizing sales efficiency and generating an 8% profit increase
- Wrote a script to rapidly identify high loss products and automated inventory updating via Excel and Access
- Collaborated with customer service to identify the most common customer complaints, generating process change suggestions that improved positive feedback rating from 76% to 89%
Healthcare Analyst, 123 Hospital, Gainesville, FL
November 2018 – December 2019
- Used Crystal Reports to summarize data collected by the Florida Department of Health
- Analyzed complex data sets and created presentations that used data to generate actionable intelligence
- Established, organized and ran several fundraisers to provide scholarships to the University of Florida students, both on-campus and remote
Melissa Jones
(123) 456-7890
youremail@example.com
123 Your Street, Annapolis, MD 21401
Profile
Systematic data analyst with 5+ years of experience in inventory control and warehouse fulfillment processes. Efficiently extracted sales and inventory data, generating usable reports and processes to avoid back-ordering. Boosted on-time fulfillment rates by 26%.
Professional Experience
Data Analyst, ABC Warehousing, Columbia, MD
March 2017 – Present
- Gathered business intelligence on logistical processes resulting in a 12% reduction in transportation costs and a savings of $800,000 annually
- Used trend data to reduce back-ordering by 19% for retail partners
- Designed statistical analysis for large customer data sets, lowering cart abandonment rates by nearly 27%
- Developed an update process that rolled out changes to all systems simultaneously, reducing downtime and streamlining warehouse processes
Data Analyst, XYZ Customer Service, Houston, TX
November 2013 – January 2017
- Developed tools and queries for analyzing and summarizing failure data points. Experienced in noting trends in complex data sets
- Designed a BOM tool and inventory model to track supply chain overorders, resulting in $650,000 in operational savings with no customer service disruption
- Collaborated with IT and purchasing departments to automate replacement ordering processes, eliminating a full-time position and reducing backorders by 12%
- Developed systems and tools designed to eliminate waste and reduce downtime, presenting recommendations to C-suite executives with actionable tips
Education
Master of Arts in Mathematics
Western Michigan University, Kalamazoo, MI, September 2010 – June 2013
Bachelor of Science in Finance
University of Maryland, Baltimore, MD, September 2006 – June 2010
Key Skills
- Analytical
- Strong pattern recognition
- Organized and detail-oriented
- Process management
- Project management
- Power user of Excel, Tableau, SAS Enterprise Miner, SQL, SharePoint
Jeremy Myers
(123) 456-7890
youremail@example.com
123 Your Street, Houston, TX 77001
Profile
Detail-oriented data analyst with more than a decade of experience. Professional background in data interpretation and analysis to drive growth for a home health care company. Created tracking procedures that led to a 17% reduction in operating costs. Develops reports using analytics and business intelligence to help guide decision-making processes.
Professional Experience
Operations Data Analyst, Home Health Co., Houston, TX
January 2015 – Present
- Recommend and setup IBM SPSS statistical software, using it to track and analyze critical data points
- Use large data sets and Teradata to build statistical analysis models and reports
- Applied business insights from analysis to reduce operating costs by 17%
- Collaborate with C-Suite executives to identify and interpret data points, drawing actionable conclusions
- Created new operational processes designed to reduce customer onboarding time line, resulting in a 9% profit increase
Market Research Analyst, 123 Retailer, Houston, TX
November 2008 – December 2014
- Identified and analyzed potential markets and advertising opportunities, working with development teams to create products and develop services for these markets
- Compiled data on current customer information, developing reports on behavior, trends, market conditions and engagement levels
- Used Google Analytics and Google Tag Manager, writing new scripts that resulted in a marketing lift of 18%
Education
Master of Science in Supply Chain Management
Towson University, Towson, MD, September 2010 – June 2014
Bachelor of Science in Statistics
University of Texas, Houston, TX, September 2006 – June 2010
Key Skills
- Detail-oriented
- Strong communication skills
- Organized and analytical
- Power-user of Excel, Tableau, Google Analytics, AdWords, SAS Enterprise Miner, SQL, and Microsoft SPSS
Certifications
Data Science Certificate
Cornell University, 2018
Common Key Skills and Action Verbs for Data Analyst Resumes
As a data analyst, it’s crucial to show off the skills that are most likely to impress a hiring manager and, more importantly, an applicant tracking system (ATS). Many companies use an ATS to instantly sort resumes into categories. Only those labeled the most qualified generate enough interest for a callback. The keyword phrases in a resume are what the ATS uses to sort each document, making it critical to use the right words, in the right combinations. Here are a few of the most common keyword phrases for data analyst resumes.
| Key Skills & Proficiencies | |
|---|---|
| Combine multiple tables | Data research and mining |
| Excel (expert level) | Experience in visualizing data |
| Python | R programming language expertise |
| Relational databases | SQL |
| Action Words | |
|---|---|
| Analyze | Clean |
| Collect | Combine |
| Communicate | Extract |
| Interpret | Model |
| Process | Streamline |
| Visualize | |
Tips for Writing a Better Data Analyst Resume
Showcase your ability to collect and manipulate data sets
A career as a data analyst requires exceptional math skills and an understanding of what data means in a business setting. Simply pulling in data doesn’t generate the actionable tips needed to improve operations. The best data analysts don’t just crunch numbers. They use numbers to predict trends, identify areas of weakness, improve processes and generate reports that assist executives with strategic decision-making. Highlight your skills under your professional experience, demonstrating both the skill and implementation in a real-world setting.
Example 1
Good
Designed BOM tool to better track inventory and identify unnecessary backorders, resulting in 14% reduction in customer wait time for products.
Bad
Designed BOM tool
Example 2
Good
Expert user of IBM SPSS and Teradata, developing reports from multiple data sets for operational excellence.
Bad
IBM SPSS and Teradata
Include industry-specific certifications for data analysis
Data analysts have expanded into a variety of public and private sectors. The role of the statistician that can also utilize technology for automation has broad applications. To show a hiring manager the specific skills needed to excel in their company, be sure to highlight any certifications that have relevance to their industry.
For example, a data analyst with a project management background might be particularly interesting to a tech startup. Someone with experience in health care might find work with a private hospital. When listing certifications, be sure to include the full name of the certification and the certifying agency. Some agencies have more name recognition than others, so it is best to list as much information as possible.
Example 1
Good
CCA Spark and Hadoop Developer by Cloudera – Passed with a score of 96%. Certificate earned January 2019
Bad
CCA Spark Certification
Example 2
Good
Microsoft Certified Solutions Expert (MCSE) Data Management & Analytics by Microsoft, September 2018
Bad
MCSE Certified
How to Align Your Resume With the Job Description
When a hiring manager posts a job description, they are essentially publicizing a wish list of candidate qualities. In response to a single listing, they might sort through hundreds of replies, which can make it difficult to make it to the top of the response pile. The right combination of skills and experience can help a resume stand out.
To find the right items to highlight, use the job posting as a guideline. Like with any wish list, the most desired items tend to be at the top. Make sure to align your professional experiences with the items that are listed first on the job description. Also, look for anything that gets a second mention. Job postings are pretty short, so anything a hiring manager mentions twice is definitely something to focus on. When highlighting skills, don’t just copy and paste from the job description. Instead, use that information to generate bullets that show how you use the skill in a working environment. Here is an example of a standard data analyst job posting and some of the keywords to note.
Example Data Analyst Job Description
ADVert Co., listed as a 2019 Best Work Place by Some Magazine, is an ad agency that focuses on affiliate programs. Our suite of proprietary software programs, nearly 17,000 affiliate partners and oodles of data helps customers break into the e-commerce landscape and experience increased profitability. Put your analytical mind to work finding the best ways to generate online buzz, identify new markets, track trends and generally improve the e-commerce landscape for our customers. Plus, do it all in a relaxed, casual working environment that might mean days spent in the office with marketers and developers or client meetings on the beach.
Responsibilities:
- Examine and report on a campaign’s ROI
- Research and identify new markets and the potential opportunity, performing extensive market research
- Investigate brand value, reputation and market penetration
- Develop focus groups and other customer feedback mechanisms to measure customer engagement and satisfaction
- Analyze marketing metrics, competitors and distribution channels and create databases to capture market data
- Assess client’s needs and meet with all stakeholders to determine goals and the best path to achieve increased profitability
- Generate reports on all client-based activities to demonstrate ROI
According to the job description, the best candidate will have the following experience and skills:
- Analytical
- E-commerce experience
- New markets
- Research
- Report generation
- Data acquisition
- Database
- Marketing metrics
- ROI
Take these highlighted keywords and organically include them in your resume. Use action words in your professional experience section, and list specific technical skills. Here is an example of how to incorporate many keywords, quickly and with relevance.
Data Analyst, ABC Retailer, Canton, OH
October 2017–Present
- Analyze new markets and research current market penetration to identify possible areas of expansion, generating reports that demonstrated most promising distribution channels
- Work with the e-commerce department to identify key marketing metrics and write database queries to track ROI for each campaign
- Researched products using focus groups and customer feedback surveys, boosting positive ratings by 13%