Middle Data Analyst

About the role

We are looking for a skilled Data Analyst to transform complex datasets into clear, actionable insights that support data‑driven decision‑making across the organization. The role blends statistical analysis, data visualization, research and stakeholder communication to turn raw data into practical recommendations.

Key responsibilities

• Analyze large and complex datasets using statistical methods such as regression, hypothesis testing, simulations and time‑series analysis.
• Validate analytical outputs, identify anomalies and outliers, and translate findings into actionable recommendations for customers and internal teams.
• Design and maintain dashboards, reports and visualizations using Power BI or Tableau, adapting formats for executive summaries or detailed analytical reports.
• Monitor and update dashboards to ensure accuracy as data sources, business rules and system configurations evolve.
• Research relevant datasets, industry benchmarks and external context to support decision‑making, and assess data quality.

Required profile

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science or a related quantitative field.
• At least 3 years of professional experience in data analysis, business intelligence or a similar role.
• Strong knowledge of statistics and quantitative analysis, with advanced SQL skills.
• Excellent written and verbal communication skills, able to explain complex findings to technical and non‑technical audiences.

Required skills

• Python (pandas, NumPy, scikit‑learn)
• R
• SQL (SQL Server, PostgreSQL, MySQL)
• Power BI or Tableau
• Advanced Excel, Jupyter Notebook, Git
• Data‑visualisation libraries such as matplotlib or ggplot2