Complete guide on presenting data analysis capabilities, business reporting, and data-driven insights on your resume.
Standard Placement Tip:
List Data Analysis under a 'Core Competencies' or 'Data Tools' header. Mention adjacent methodologies like exploratory data analysis (EDA) or cohort analysis.
Paste your resume skills section or work history below to see which keywords are present and which ones are missing.
Strong resume bullets require an action verb, description of what you did, and a quantified metric. Avoid responsibilities list; show results.
Weak: Analyzed data to find insights.
Strong: Analyzed weekly user activation data in SQL, identifying a 40% drop-off at the onboarding step and recommending changes that recovered 12% in signup completions.
Evaluated 12 months of transactional data to identify user cohorts with high churn rates, presenting key findings to product leadership.
Data analysis focuses on historical reporting, querying, and dashboard insights (SQL, BI tools). Data science incorporates predictive modeling, statistical models, and machine learning (Python, Scikit-Learn).