SQL (Advanced), Python (Pandas, NumPy), R. Visualization: Tableau, Power BI, Matplotlib. Databases: Google BigQuery, PostgreSQL, MongoDB. Tools: Excel (VBA, Power Query), Git, JIRA, Airflow.
Before writing a single word, you need the right structure. Do not get creative with columns, graphics, or headshots. Stick to a clean, chronological (reverse-chronological) layout. Data Analyst Resume
Before you send your Data Analyst resume, run it through this checklist: SQL (Advanced), Python (Pandas, NumPy), R
"Detail-oriented Data Analyst with 4+ years of experience in the fintech sector. Proficient in SQL, Python, and Tableau, with a proven track record of leveraging data mining techniques to reduce operational costs by 15%. Seeking to utilize advanced analytical skills to drive business growth at [Target Company Name]." Tools: Excel (VBA, Power Query), Git, JIRA, Airflow
If you are an entry-level analyst or transitioning from another field, your "Experience" section might be light. This is where "Projects