onsite
Data Analyst - StioA
Data Analyst
Data Analyst role focused on extracting insights from financial and operational data using Python, SQL, and Excel, while leveraging cloud platforms and version control to support cross‑functional teams in a digital‑first environment.
About the role
Key Responsibilities
- Design, develop, and maintain data pipelines and dashboards to support finance, marketing, and operations teams.
- Write efficient SQL queries and Python scripts to extract, transform, and analyze large datasets.
- Collaborate with stakeholders to define KPIs, build reports, and provide actionable insights.
- Implement data quality checks, automate testing, and ensure data integrity across cloud environments.
- Utilize Git for version control, code reviews, and collaboration on data science projects.
Requirements
- Proven experience with Python, SQL, and Excel for data analysis.
- Strong statistical knowledge and ability to apply data science techniques.
- Experience with cloud platforms (AWS, Azure, or GCP) and data storage solutions.
- Familiarity with version control (Git) and collaborative development practices.
- Excellent communication skills and ability to translate complex data into clear business insights.