Description

As Data Analyst, You Will

• Continuously monitor and evaluate data to identify areas for improvement or optimization
• Identify patterns and trends in data to inform business decisions
• Collect and organize large sets of data from various sources.
• Analyze and interpret data using statistical methods and software
• Stay up-to-date with industry trends and advancements in data analysis techniques
• Develop and maintain databases and data systems to ensure accuracy and efficiency
• Create reports and visualizations to communicate findings and insights to stakeholders
• Collaborate with cross-functional teams to drive data-driven decision making.

As Data Analyst, You Have

• A bachelors degree in a field such as Mathematics, Statistics, or Computer Science is preferred
• The ideal candidate will have a minimum of 3 years of experience in an analyst role, preferably within a contact center environment
• Experience in data analysis, data management, and reporting is required
• Experience with maintaining and developing reporting tools is highly desirable
• Strong proficiency in Excel and G-Suite applications, including Google Sheets, Docs, and Slides
• Proficiency in fine-tuning data queries. Strong SQL skills and knowledge of SQL queries/SQL Server Integration Services (SSIS) are required
• Familiarity with Dimensional Modeling design principles is a plus. Knowledge of data warehousing concepts and ETL processes is highly desirable
• Strong analytical skills to be able to analyze complex data sets and draw meaningful insights from them
• Knowledge of statistical methods and tools to build predictive models and perform statistical analysis
• Excellent communication skills to be able to present findings and insights to stakeholders in a clear and concise manner
• Attention to detail to ensure accuracy in data analysis and reporting
• Ability to work with large data sets and databases
• Knowledge of data visualization tools such Power BI to create visual representations of data
• Understanding of business operations and objectives to align data analysis with business goals
• Flexibility and adaptability to work in a fast-paced and constantly changing environment
• Continuous learning and upskilling to stay up-to-date with the latest tools and technologies in the field of data analysis.