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Business Intelligence Analyst - KYB Team

Binance
Global
Full time
Remote

About this job

Job category

Data Science & Analytics

Job type

Full time

Location

Global

Company size

Start Up [ <10 employees ]

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Job Description

Binance seeks a Business Intelligence Analyst to analyze KPI data, identify issues and opportunities, and provide actionable insights to improve KYB team performance. This role drives data-driven decision-making and enhances operational efficiency.

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.

Benefits

  • Competitive salary and company benefits
  • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
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