Business Data Analyst

A business intelligence (BI) analyst job description involves collecting, analyzing, and interpreting complex data to help organizations make informed decisions. Key responsibilities include creating dashboards and reports, identifying trends and patterns, and communicating findings to stakeholders. This role requires technical skills in data analysis tools like SQL, Power BI, or Tableau, along with strong problem-solving and communication abilities.  

Key responsibilities

• Data analysis: Gather, clean, and analyze data from various sources to identify trends, patterns, and anomalies. 
• Reporting and visualization: Develop and maintain reports and interactive dashboards to visualize data and communicate key performance indicators (KPIs) to stakeholders. 
• Strategic support: Translate data-driven insights into actionable recommendations to improve business performance, increase efficiency, and guide strategic decisions. 
• Data management: Oversee the data collection and storage process, ensuring data integrity and quality control. This may involve working with IT to ensure data systems are secure and efficient. 
• Process improvement: Research and develop new data-gathering methods and implement new data analysis methodologies to improve efficiency and accuracy. 

Required skills and qualifications

• Technical skills: Proficiency in SQL is essential for querying databases, while knowledge of tools like Tableau, Power BI, or Looker is crucial for data visualization.
• Analytical and critical thinking: Strong analytical skills, attention to detail, and the ability to think critically to solve business problems with data.
• Communication: Excellent communication skills are necessary to present findings clearly and concisely to both technical and non-technical audiences.
• Education: A bachelor's degree in a related field like computer science, data science, or business administration is often required, with a master's degree being preferred.
• Data knowledge: Familiarity with data mining, data warehousing, and automation techniques is beneficial.