Data analyst intern

About us

PASHA Insurance OJSC is a recognized leader in the insurance market of Azerbaijan. To date, the value of the company's capital is 50 million AZN. PASHA Insurance offers 36 types of compulsory and voluntary insurance services for around 300 000 individual and corporate customers. We offer tailored insurance solutions relying on our professionalism by assuring confidence and ensuring the highest quality.

Key Responsibilities:

Data Collection & Cleaning: Assist in gathering, cleaning, and organizing data from various sources to ensure accuracy and completeness.

Data Analysis: Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights that can support business decisions.

Reporting: Prepare and present data visualizations, dashboards, and reports that clearly communicate findings to stakeholders.

Support Projects: Collaborate with different teams, such as underwriting, claims, and marketing, to support data-driven projects and initiatives.

Quality Assurance: Help maintain the integrity and consistency of data across systems, performing routine data audits and validation checks.

Research: Stay updated on industry trends, best practices, and emerging tools in data analytics to bring fresh ideas to the team.

Ad Hoc Tasks: Assist with additional tasks and projects as needed, providing support to senior analysts and management.

 Qualifications:

Education: Currently pursuing or recently completed a Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.

Technical Skills:

Proficiency in data visualization tools (e.g., Tableau, Power BI) is a plus.

Familiarity with data analysis tools and software (e.g., Excel, SQL, R, Python).

Basic understanding of statistical analysis and data modeling.

Soft Skills:

Strong analytical and problem-solving skills.

Excellent communication skills, both written and verbal.

Attention to detail and a high degree of accuracy.

Ability to work independently and as part of a team.

Preferred Experience: Previous internship or project experience in data analysis is an advantage but not required.