Key Responsibilities: - Utilize an analytical mindset to collect, organize, and deliver large datasets from multiple channels and sources. - Provide technical/subject matter expertise in various analytical tasks, including design, development, validation, calibration, documentation, implementation, monitoring, and reporting. - Review and test data to ensure it meets high standards of quality, accuracy, and reliability. - Identify and implement continuous improvements in data collection and delivery processes. - Develop visual analytics on various Business intelligence platforms, such as Power BI and Graph, by designing and creating dashboards. - Proactively analyze and troubleshoot data-related issues, assess their criticality, escalate for timely resolution, and lead problem-solving efforts. - Develop a variety of database query and visualization tools to identify and understand platform issues or events. - Collaborate with internal stakeholders on data compilation, analysis, and quality assurance. - Provide analysis and drive modern solutions and efficiencies in our processes. - Additional duties as assigned. Skills and/or Certifications: - Bachelor’s degree in data science, Information Systems, Computer Science, Mathematics or a related field. - 2+ years of experience in data analysis, visualization, statistics, and/or data manipulation. - Strong technical aptitude with proficiency in Microsoft office suite as well familiarity with SQL or other programming or scripting languages (e.g. Python). - Anti-Fraud/Compliance related professional certifications (Certified Fraud Examiner, Certified Anti-Money Laundering Specialist) preferred but not required. - Preferred: Experience with Graph Database technologies, Gremlin/Apache Tinkerpop programming language - Experience with data transformation processes and exposure to both standard and complex data types. - Passionate and curious about data, with the ability to query and analyze datasets to drive fact-based decisions. - Results-oriented and capable of working independently while managing multiple priorities. - Ability to interpret and translate data into meaningful business insight. - Ability to operate with a sense of urgency and meet critical deadlines. - Excellent organization, decision-making, and analytical skills. - Excellent verbal, written and interpersonal communication skills. - Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success. - Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs. - Where applicable, fluency in English and languages relevant to the working market. Education: - Bachelors - required - Masters - preferred
Job Type
Onsite role
Skills required
No particular skills mentioned.
Location
Jacksonville - Florida - United States
Salary
No salary information was found.
Date Posted
April 16, 2025
The Analyst II at Dun & Bradstreet will support Global Fraud Operations through data collection, analysis, and visualization. This role involves collaborating with various departments to enhance data-driven decision-making processes.