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
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Collect and organize large sets of data from various sources
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Analyze and interpret data using statistical methods and software
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Identify patterns and trends in data to inform business decisions
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Develop and maintain databases and data systems to ensure accuracy and efficiency
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Create reports and visualizations to communicate findings and insights to stakeholders
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Collaborate with cross-functional teams to drive data-driven decision making
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Continuously monitor and evaluate data to identify areas for improvement or optimization
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Stay up-to-date with industry trends and advancements in data analysis techniques
As Data Analyst, You Have
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A bachelors degree in Mathematics, Statistics, Computer Science, or a related field is preferred
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A minimum of 2-3 years of experience in an analyst role, preferably within a contact center environment, is
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required
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Strong knowledge of data visualization tools such as Looker and Power BI to create visual representations of data
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Strong proficiency in G Suite products, including Google Sheets, Looker, and BigQuery
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Experience with maintaining and developing reporting tools is highly desirable
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Strong Excel skills are a must
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Proficiency in fine-tuning data queries with strong SQL skills and knowledge of SQL Server Integration Services (SSIS)
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Strong analytical skills to analyze complex data sets and draw meaningful insights
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Excellent communication skills to present findings clearly and concisely to stakeholders
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Attention to detail to ensure accuracy in data analysis and reporting
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Ability to work with large data sets and databases
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Flexibility and adaptability to thrive in a fast-paced and constantly changing environment
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Commitment to continuous learning and upskilling to stay current with the latest tools and technologies in data analysis