Tech

Ejemplo de CV Data Analyst

A professional, ATS-optimised CV example for Data Analyst. With proven phrasing, keywords and concrete tips.

Ejemplo de CV

Lisa Hendriks

Data Analyst

Amsterdam, Nederland

linkedin.com/in/lisa-hendriks

Perfil

Data analyst with 4 years of experience translating complex datasets into actionable business insights. Strong in SQL, Python and data visualisation. Works closely with marketing and product teams.

Experiencia profesional

Data Analyst

Nombre de la empresa S.L. — Madrid · 2020 – presente

  • -Designed Tableau dashboard used weekly by management for decision-making, reducing reporting time by 70%.
  • -Analysed customer churn patterns with Python; recommendations led to 15% higher retention.
  • -Automated monthly reports via SQL scripts, saving 20 hours of work per month.

Competencias

SQLPythonTableauPower BIExcelGoogle AnalyticsA/B testingStatistics

Formación

Master Econometrics — Erasmus University Rotterdam (2020)

Por qué funciona este CV

Perfil

The profile includes years of experience, a specialisation and a concrete result. No vague terms like 'proactive' or 'team player'. ATS systems search for specific keywords.

Experiencia profesional

Each bullet starts with an action verb and ends with a measurable result. This is what recruiters want to see: action + impact.

Competencias

The skills list contains exact keywords that ATS systems use. Make sure tools and technologies literally match the job posting.

Formación

Education is placed at the bottom for experienced professionals. Certifications are included alongside degrees — they are equally valuable in many sectors.

Palabras clave para ATS

Use these terms in your CV to pass ATS filters. Make sure they align with the job posting.

data analysisSQLPythonTableaubusiness intelligencedata visualisationKPIA/B testingstatisticsreporting

Consejos para tu CV

1

Always describe the business problem you solved, not just the technique you used.

2

Use concrete numbers: percentages, time saved, revenue impact.

3

Mention domain knowledge (e.g. e-commerce, finance) — this sets you apart from pure technicians.

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