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US entry-level candidate / SaaS analytics

New Grad Data Analyst

Turned a project-heavy resume into a JD-matched analyst profile with clearer tools, metrics, and business context.

Optimize my resumeView all cases

Score movement

Before

48

After

84

Target roleData Analyst
Experience0-1 years
Time28 minutes

Original resume problems

  • Course projects were listed without business questions, datasets, or measurable outcomes.
  • SQL, Python, dashboarding, and statistical keywords were present but buried in long paragraphs.
  • Bullets described tasks instead of analytical decisions, findings, and stakeholder impact.
  • The resume opened with a generic objective that did not match the analyst JD.

Data Analyst, Product Insights

Target JD

The JD emphasized SQL analysis, dashboard maintenance, funnel reporting, experimentation support, and concise communication with product teams.

SQL joins, aggregations, and data quality checks
Python or spreadsheet-based analysis for recurring reports
Dashboarding in Tableau, Looker, or Power BI
Product funnel, retention, and cohort analysis

Optimized keywords

Keywords were grouped around the target JD.

Analytics Tools

SQLPythonTableauExcelGit

Product Metrics

ActivationRetentionConversion FunnelCohort Analysis

Resume Actions

AnalyzedBuiltValidatedPresentedAutomated

Scoring changes

ATS match

48to84

Keyword coverage

34to78

Impact clarity

29to73

JD relevance

42to86

Final PDF preview

The final resume made the strongest evidence easier to scan.

Replaced the objective with a role-specific analyst summary.
Moved technical tools into a scannable skills block.
Rewrote project bullets around questions, methods, and measurable findings.

Case details are anonymized and adapted for demonstration. Names, companies, and identifying details are not shown.

US Data Analyst Candidate

Entry-Level Data Analyst | SQL, Python, Tableau

Analyst with hands-on experience turning product and customer datasets into funnel, retention, and dashboard insights for business stakeholders.

Core Skills

SQLPythonTableauCohort AnalysisData Cleaning

Experience

Product Analytics Capstone

US University Analytics Lab

Anonymized
  • Analyzed 52K event records to identify activation drop-off across a three-step onboarding funnel.
  • Built a Tableau dashboard tracking weekly retention, conversion, and cohort trends for product review.
  • Presented recommendations that prioritized two onboarding fixes based on user segment behavior.

Optimized for Data Analyst