Data Analyst

Role & responsibilities

• Possess a solid foundation in statistics and practical experience with statistical software (such as Excel) and mastery in data analysis languages including SQL, Python, and R.
• Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
• Data Collection by gathering data from various sources, including databases, APIs, and third-party sources and ensuring the upkeep of databases and data systems.
• Design scripts and tools to automatically extract large volumes of data from websites or other digital sources (by Scraping, etc), improving efficiency and availability.
• Conduct in-depth data analyses using advanced statistical methods and tools to uncover patterns, correlations, and insights
• Develop data dashboards, charts, and visual aids to support decision-making across departments (Knowledge on dashboard tools is an added advantage - Power BI, Tableau, Superset, etc)
• Exposure in Azure Synapse, Data Bricks or Fabric is an added advantage.