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Customer Service BI Specialist

Global
Customer Support – Customer Experience /
Full-time: Remote /
Remote

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Responsibilities:

    • Collect, organize, and analyze user data from the customer service department and other related systems to identify user behavior patterns and issue trends.
    • Develop and maintain dashboards and reports to provide real-time insights into key metrics. 
    • Provide data-driven recommendations to improve team performance and operational efficiency. 
    • Collaborate with team leaders to implement solutions and track the impact of changes. 
    • Conduct root cause analysis to identify underlying issues affecting KPIs (CSATs, resolution rate,etc).
    • Translate complex data into clear and actionable insights for senior management. 
    • Support strategic decision-making by providing in-depth analysis and forecasting. 
    • Ensure data accuracy and integrity by implementing best practices in data collection, storage, and analysis. 
    • Communicate findings and recommendations effectively to stakeholders at all levels. 
    • Collaborate with cross-functional teams to align on goals and drive initiatives.  
    • Provide training and support to team members on data analysis tools and techniques.

Requirements:

    • Minimum of 3-5 years of experience in a business intelligence, data analysis, or similar role.  
    • Proven track record of analyzing complex data sets and providing actionable insights.  
    • Experience in the crypto, financial services or compliance industry is a plus. 
    • Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.  
    • Proficiency in data analysis tools such as SQL, Python, R, or similar.  
    • Experience with data visualization tools like Tableau, Power BI, or similar.  
    • Strong understanding of database management and data warehousing concepts. 
    • Familiarity with statistical analysis and predictive modeling techniques.  
    • Excellent analytical and problem-solving skills.  
    • Strong attention to detail and accuracy. 
    • Ability to communicate complex data insights clearly and concisely.  
    • Strong organizational and time management skills. 
    • Ability to work independently and as part of a team.
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