Choose from a wide range of NEWCV resume templates and customize your NEWCV design with a single click.
Use ATS-optimised Resume and resume templates that pass applicant tracking systems. Our Resume builder helps recruiters read, scan, and shortlist your Resume faster.
Use professional field-tested resume templates that follow the exact Resume rules employers look for.
Create Resume
Use professional field-tested resume templates that follow the exact Resume rules employers look for.
Create ResumeAn Entry Level Data Analyst Resume must be optimized for Applicant Tracking Systems (ATS) to get past automated screening and reach recruiters. This means using the right keywords, job titles, tools, and formatting that match job descriptions. To pass ATS, your resume must clearly show skills like Excel, SQL, data cleaning, reporting, and dashboards using simple formatting and keyword-rich content aligned with the job posting.
An ATS friendly resume is a document structured and written to be easily scanned by software that filters candidates based on keywords, job titles, skills, and formatting before a recruiter reviews it.
For entry level data analyst roles, ATS systems prioritize:
Relevant job titles such as entry level data analyst or junior data analyst
Technical skills like SQL, Excel, Tableau, Power BI
Data-related tasks such as reporting, cleaning, validation
Clear section headings like Skills, Projects, Experience
Keyword alignment with the job description
If your resume doesn’t include these, it may never be seen by a human.
These are non-negotiable keywords that should appear naturally across your resume:
Data analysis
Data cleaning
SQL
Excel
Power BI
Tableau
Reporting
Dashboard
ATS doesn’t just scan for tools, it scans for capabilities. You must include skill-based phrases that demonstrate what you can do with data.
Data cleaning and validation
SQL querying
Excel pivot tables and formulas
Dashboard creation
KPI reporting
Data visualization
Trend analysis
KPI tracking
Data visualization
These terms signal core competency and are heavily weighted in ATS filtering.
To rank higher, include variations that reflect real job titles and specialization:
Entry level data analyst
Junior data analyst
Business data analyst
Reporting analyst
SQL data analyst
Excel data analyst
Power BI analyst
Tableau data analyst
Data quality analyst
Analytics assistant
These variations increase keyword matching across different job postings.
Variance analysis
Data reconciliation
Stakeholder reporting
Most entry-level resumes fail because they list tools but not how those tools were used. ATS prefers action-based skill phrases over single-word skills.
To pass ATS for data analyst roles, your resume must include specific tools employers search for.
Microsoft Excel
Google Sheets
SQL Server
MySQL
PostgreSQL
Snowflake
BigQuery
Tableau
Microsoft Power BI
Python
R
Jupyter Notebook
Looker Studio
Salesforce
Google Analytics
CRM systems
ERP systems
Weak Example:
“Familiar with Excel and SQL”
Good Example:
“Used Microsoft Excel (pivot tables, VLOOKUP) and SQL to clean and analyze 10,000+ rows of sales data”
The second version improves both ATS ranking and recruiter appeal.
Your experience section must use strong action verbs that ATS recognizes.
Analyzed
Cleaned
Validated
Queried
Visualized
Reported
Built
Automated
Tracked
Documented
ATS systems often prioritize resumes that demonstrate action + outcome, not just responsibilities.
Tailoring your resume to the job industry significantly improves ATS ranking.
Business reporting
KPI dashboards
Stakeholder insights
Healthcare data
Patient trends
HIPAA awareness
Claims analysis
Financial reporting
Budget variance
Forecasting support
Campaign analytics
Conversion rate
CTR
CAC
ROI
Process improvement
SLA tracking
Workflow analysis
Productivity metrics
Industry keywords often act as secondary filters in ATS systems. Without them, your resume may rank lower even if your core skills are strong.
Use this structure to ensure maximum ATS compatibility:
Summary
Skills
Projects
Experience
Certifications
Use simple fonts like Arial or Calibri
Avoid images, charts, or graphics
Do not use tables or columns
Use bullet points for readability
Save as .docx or ATS-friendly PDF
1 page for most entry level candidates
2 pages only if you have strong project experience
ATS systems often struggle with complex formatting. Keep your resume clean and linear.
Copy keywords directly from the job description
Use the exact job title in your resume headline
Add keywords in summary, skills, projects, and experience
Include both tools and tasks
Keep keyword usage natural
Add certifications where possible
Weak Example:
“Worked on data tasks and reporting”
Good Example:
“Analyzed and cleaned datasets using SQL and Excel to build dashboards and track KPIs”
The second version includes multiple ATS keywords and improves ranking significantly.
Add measurable results such as number of rows processed or reports created
Use multiple job title variations
Include both singular and plural forms like dashboard and dashboards
Use synonyms like analytics, reporting, business intelligence
Align wording with job descriptions
“Cleaned and validated 50,000+ rows of sales data using SQL and Excel, improving reporting accuracy by 20%”
This includes:
Action verb
Tools
Task
Measurable impact
This is exactly what ATS systems prioritize.
Missing critical keywords like SQL, Excel, reporting
Using images or icons
Writing vague responsibilities without tools or metrics
Not including projects or hands-on experience
Using uncommon job titles
A resume can be strong but still fail ATS if it lacks keyword alignment. ATS does not interpret potential, it matches patterns.
Where you place keywords matters just as much as including them.
Resume headline
Summary section
Skills section
Project descriptions
Experience bullet points
Instead of listing “SQL” only in skills, also include it in:
Summary
Project descriptions
Experience bullets
This increases keyword density naturally.
A recruiter reviewing 200+ applications for an entry level data analyst role will only see resumes that pass ATS.
Two candidates:
Candidate A: Strong skills but poor keyword usage
Candidate B: Moderate skills but strong ATS optimization
Candidate B gets shortlisted.
This is why ATS optimization is not optional, it is essential.
Before submitting your resume, confirm:
Includes job title variations
Contains core and expanded keywords
Uses simple ATS-friendly formatting
Includes tools, tasks, and measurable results
Matches job description language
Avoids graphics and complex layouts
If all are covered, your resume is optimized for ATS success.
Upload Resume
Import from Linkedin
