PASHA Insurance

Data Analyst



Job Overview: As a data analyst, you will be responsible for collecting, analyzing, and interpreting large datasets using agile methodologies to support business decisions in the corporate segment. You will work closely with cross-functional teams to identify key performance indicators (KPIs), build reports, and provide insights that will drive business growth.

Key Responsibilities:

  • Collect and analyze large datasets using SQL, Python, or other analytical tools to support business decisions
  • Develop dashboards and reports to track KPIs and communicate insights to cross-functional teams
  • Collaborate with stakeholders to understand business requirements and identify opportunities for data-driven decision making
  • Participate in agile development processes to deliver solutions in a timely manner
  • Conduct ad hoc analyses to answer business questions and identify trends
  • Ensure data accuracy and integrity by performing quality checks on data inputs and outputs
  • Continuously monitor and improve data quality, completeness, and consistency across various data sources
  • Stay up-to-date with industry trends and best practices in data analytics, and contribute to the development of analytical processes and tools


  • Bachelor´s or Master´s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics or related discipline)
  • 1-3 years of relevant experience in data analytics, preferably in a corporate environment
  • Strong analytical skills and experience with data visualization tools such as Power BI, Tableau or similar
  • Proficiency in SQL and strong knowledge at least one scripting language such as Python or R
  • Familiarity with agile methodologies and experience working in cross-functional teams
  • Excellent communication and collaboration skills to work effectively with stakeholders at all levels of the organization
  • Ability to manage multiple tasks and prioritize work in a fast-paced environment
  • Strong attention to detail and ability to identify data quality issues
  • Knowledge of statistical analysis techniques and their applications in business contexts


  • Knowledge of machine learning techniques and their applications in business contexts
  • Familiarity with data governance frameworks and practices
  • Relevant certifications

Deadline for application: 20 May, 2023

Please, send your CV by indicating the name of the position in the "subject" line to the e-mail [email protected]. Only short-listed candidates will be contacted.  

Elanın bitmə tarixi: 24.05.2023