Business Data Analyst - 1757157

Description

We are seeking a detail-oriented and analytical individual to join our team as a Business Data Analyst. As a Business Data Analyst, you will be responsible for collecting, analyzing, and interpreting complex data sets to help drive business decisions and strategies.

In this role, you will work closely with both the business and technical teams to identify trends, insights, and opportunities for improvement. You will utilize various tools and techniques to extract and transform data, conduct statistical analysis, and develop visualizations and reports to effectively communicate findings to key stakeholders. Additionally, you will collaborate with cross-functional teams to develop and monitor key performance indicators (KPIs) and provide actionable recommendations based on data-driven insights.

To be successful in this role, you must have a strong background in data analysis, statistical modeling, and data visualization. You should be comfortable working with large data sets and have experience using SQL, Python, or other programming languages for data manipulation and analysis. Excellent communication and presentation skills are also essential for effectively explaining complex data findings to non-technical stakeholders.

Responsibilities

• Collect and analyze large data sets to identify trends, patterns, and insights
• Develop and maintain dashboards and reports to track key performance indicators
• Collaborate with cross-functional teams to define data requirements and ensure data integrity and accuracy
• Conduct statistical analysis to identify areas of improvement and make data-driven recommendations
• Develop and implement data visualization techniques to effectively communicate findings to stakeholders
• Identify and assess data quality issues and implement solutions to improve data quality and accuracy
• Stay up-to-date with industry trends and best practices in data analysis and visualization

Requirements

• Bachelor's degree in a relevant field such as Statistics, Mathematics, Economics, or Computer Science
• Proven experience in data analysis and data visualization
• Proficiency in SQL for data extraction and manipulation
• Experience using programming languages such as Python for data analysis and statistical modeling
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information
• Excellent problem-solving skills with attention to detail
• Strong communication and presentation skills, with the ability to effectively communicate complex data findings to non-technical stakeholders