Data Analyst

Job title : Data Analyst

Job ID: JR002874

Job Responsibilities

• Analyze large datasets to identify trends, patterns, opportunities, and actionable business insights. 
• Develop, maintain, and optimize dashboards, reports, and visualizations using tools such as Power BI. 
• Collaborate with business stakeholders to gather reporting and analytical requirements. 
• Translate business requirements into meaningful data models, KPIs, and analytical outputs. 
• Perform data validation, cleansing, and quality checks to ensure the accuracy and reliability of reports and insights. 
• Support business functions with ad-hoc analysis and decision-support reporting. 
• Interpret and communicate analytical findings clearly to both technical and non-technical stakeholders. 
• Work closely with Data Engineers and IT teams to ensure availability and integrity of data sources. 
• Support the development and adoption of reporting standards, governance, and best practices. 
• Monitor business performance metrics and provide proactive insights to improve operational effectiveness. 
• Create and maintain documentation for dashboards, reports, and analytical processes. 
• Support end users through training, user guides, and analytics adoption initiatives. 
• Ensure that data compliance and security requirements are adhered to during analysis and reporting activities. 
• Stay updated with the latest trends and developments in business intelligence, analytics, and visualization technologies. 

Qualifications

• Degree in Computer Science, Statistics, Mathematics, Economics, Business Analytics, Information Systems, or any related field. 
• Experience in data analysis, business intelligence, reporting, or a similar analytical role. 

Technical/Professional Experience:

• Strong proficiency in SQL for querying and analyzing data. 
• Experience with data visualization and reporting tools, such as Power BI. 
• Understanding of data modelling concepts and reporting best practices. 
• Experience analyzing and interpreting large and complex datasets. 
• Experience gathering business and reporting requirements from stakeholders. 
• Strong analytical and problem-solving skills with attention to detail. 
• Ability to communicate insights effectively to technical and non-technical audiences. 
• Experience working with Microsoft technologies and cloud ecosystem is advantageous. 
• Familiarity with Excel, Power Query, DAX, and analytical tools. 
• Basic understanding of data warehousing and ETL concepts. 
• Experience working within an Agile framework, such as Scrum or Kanban. 
• Knowledge of statistical analysis or programming languages such as Python or R is an advantage. 
• Ability to work independently and collaboratively in a fast-paced environment.