Nikola Ladović

I’m an entry-level Data Analyst focused on translating data into clear, actionable insights for hiring, retention, and business decisions. I bring hands-on experience analyzing real-world datasets and building dashboards that connect KPIs to measurable outcomes.

In my projects, I analyzed U.S. data jobs to identify high-demand and high-paying skills, then cleaned and transformed raw data with Python (pandas, NumPy, Seaborn, Matplotlib). I aggregated skill demand and salary metrics to reveal trends by role and time period, and supported the findings with visualizations designed for career and workforce planning.

I also built a Data Jobs Dashboard in Power BI using Power Query ETL and DAX KPIs (median salary, job count, and skills per job), with slicers and drill-through for faster decision-making. For analytics beyond market data, I conducted customer sales and retention analysis in SQL (PostgreSQL) using joins, aggregations, and window functions to assess customer lifetime value and churn risk, then recommended data-driven actions to improve retention and revenue stability.