Business Intelligence Analyst – KYB Team

Full Time
  • April 11, 2025
  • Employment Info

    Responsibilities

    • Analyze KPI data to monitor the performance of the KYB team.
    • Develop and maintain dashboards and reports to provide real-time insights into key metrics.
    • Identify trends, patterns, and anomalies in data to uncover issues and opportunities.
    • 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.
    • Translate complex data into clear and actionable insights for senior management.
    • Support strategic decision-making by providing in-depth analysis and forecasting.
    • Identify and evaluate new opportunities for process improvements and innovation.
    • Ensure data accuracy and integrity by implementing best practices in data collection, storage, and analysis.
    • Work with IT and data teams to enhance data infrastructure and tools.
    • 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 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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