🌍Global Edition

Professional Data Analyst Resume for the US Market

Analytical Data Analyst with 3+ years of experience in extracting insights from large datasets using SQL, Python, and Excel. Proficient in data visualization tools (Tableau, Power BI) and statistical analysis. Successfully delivered data-driven recommendations that improved business metrics by 25%.

Data Analyst resume template — ATS-friendly format
Sample format
Data Analyst resume example — optimized for ATS and recruiter scanning.

Median Salary (US)

84000/yr

Range: AUD64k - AUD104k

Top Employers

GoogleMicrosoftAmazonNetflix

Use strong action verbs and quantifiable results in every bullet. Recruiters and ATS both rank resumes higher when they see impact (e.g. “Increased conversion by 20%”) instead of duties.

Industry Outlook

Data Analyst roles are booming in the US across e-commerce (Flipkart, Amazon), fintech (Paytm, Razorpay), and consulting (Deloitte, KPMG). Entry-level roles start at $100k+, with mid-level reaching $100k++.

A Day in the Life of a Data Analyst

A typical day for a Data Analyst in Australia often starts with checking messages and prioritizing tasks that require your expertise in SQL (Advanced). Morning: Many teams run a short stand-up to align on blockers and goals. The rest of the morning is usually focused on deep work: applying Python (Pandas, NumPy) and Excel (Advanced) to deliver on commitments. Collaboration with cross-functional partners is common in Australia workplaces. Afternoon: Time is often split between execution, reviews, and meetings. Employers in Sydney, Melbourne, Brisbane, Perth value clear communication and measurable outcomes, so end-of-day updates help keep stakeholders informed. Wrapping up with a brief plan for the next day is standard practice.

Technical Stack

SQL (Advanced)Python (Pandas, NumPy)Excel (Advanced)Tableau/Power BIStatisticsData VisualizationETL ProcessesGoogle AnalyticsR (Optional)Jupyter Notebooks

Resume Killers (Avoid!)

Not quantifying achievements (mentioning 'analyzed data' instead of 'analyzed 1M+ records'), missing visualization tools, not highlighting business impact, or failing to mention SQL proficiency explicitly.

Typical Career Roadmap (US Market)

Junior Data Analyst
Senior Data Analyst
Lead Data Analyst

ATS Optimization Tips for Data Analyst

Mention SQL variants explicitly (MySQL, PostgreSQL, MS SQL)

List visualization tools separately (Tableau, Power BI, Looker)

Include business metrics and KPIs you've worked with

Mention data size (e.g., 'analyzed 1M+ records')

Approved Templates for Data Analyst

These templates are pre-configured with the headers and layout recruiters expect in your region.

Visual Creative

Visual Creative

Use This Template
Executive One-Pager

Executive One-Pager

Use This Template
Tech Specialized

Tech Specialized

Use This Template

Common Questions

Should I include a portfolio or GitHub link for a Data Analyst resume?

Yes! Include links to Tableau Public dashboards, Kaggle notebooks, or GitHub repositories with data analysis projects. This demonstrates practical skills better than just listing tools.

How important is mentioning specific metrics in a Data Analyst resume?

Critical. Instead of 'analyzed sales data,' write 'analyzed 2M+ sales records and identified trends that increased revenue by 15%.' Quantify everything—dataset sizes, percentage improvements, cost savings.

Which tools are most important for Data Analyst roles in the Australia?

SQL is mandatory. Python (Pandas) is highly preferred. Tableau or Power BI for visualization. Excel is still important for the USn companies. Mention all four to maximize opportunities.

Should I mention domain knowledge (e.g., e-commerce, finance)?

Yes! the USn companies value domain expertise. If you've worked in e-commerce, mention 'E-commerce Analytics' or 'Financial Data Analysis.' This helps you stand out in domain-specific roles.

Sources: Salary and hiring insights reference NASSCOM, LinkedIn Jobs, and Glassdoor.

Our CV and resume guides are reviewed by the ResumeGyani career team for ATS and hiring-manager relevance.