Job Description

About the Job Join us in transforming the perception of customer service! We are seeking a dedicated Data Analyst to analyze and report on operational data, enhancing program performance visibility. This role is vital in contributing to various projects and performing ad-hoc analyses, providing timely insights that support strategic decision-making. If you are passionate about data and eager to make a significant impact, we invite you to apply! As Data Analyst, You Will Collect and organize large sets of data from various sources Analyze and interpret data using statistical methods and software Identify patterns and trends in data to inform business decisions 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 Continuously monitor and evaluate data to identify areas for improvement or optimization Stay up-to-date with industry trends and advancements in data analysis techniques As Data Analyst, You Have A bachelors degree in Mathematics, Statistics, Computer Science, or a related field is preferred A minimum of 2-3 years of experience in an analyst role, preferably within a contact center environment, is required Strong knowledge of data visualization tools such as Looker and Power BI to create visual representations of data Strong proficiency in G Suite products, including Google Sheets, Looker, and BigQuery Experience with maintaining and developing reporting tools is highly desirable Strong Excel skills are a must Proficiency in fine-tuning data queries with strong SQL skills and knowledge of SQL Server Integration Services (SSIS) Strong analytical skills to analyze complex data sets and draw meaningful insights Excellent communication skills to present findings clearly and concisely to stakeholders Attention to detail to ensure accuracy in data analysis and reporting Ability to work with large data sets and databases Flexibility and adaptability to thrive in a fast-paced and constantly changing environment Commitment to continuous learning and upskilling to stay current with the latest tools and technologies in data analysis