Business Analyst | Cyber Fraud Fusion

General Description

• Supports the Cyber-Fraud Fusion Team in the analysis of cybersecurity and fraud prevention data, while leveraging business intelligence tools to produce data-driven solutions that support the continuous development and strengthening of our corporate information security posture, with the objective of better detect, alert and prevent cyber-fraud criminal activity conducted against our customers and our institution.

Essential Duties and Responsibilities

• Data Management

  • Understand business data and requirements.

  • Use business intelligence tools to:

    • Extract and transform data from their corresponding sources.

    • Perform data validation to assess quality and meaning of data.

    • Identify, analyze, and interpret patterns and trends that will support threat intelligence strategies.

    • Produce relevant information to support the development of new fraud detection methods and their cohesion with our cybersecurity policies and procedures.

    • Summarize and present data to Management for decision-making and operation visibility purposes.

• Documentation

  • Support in the development of procedural and/or business requirement documents.

  • Prepares reporting/presentation material for senior management, internal/external clients/providers, etc.

Supervisory Responsibilities:

This Job has no supervisory responsibilities but in special circumstances may lead the work of others.

Education

• Bachelor's degree (B. A.) in Statistics, Information Systems, Engineering, Computer Science and/or Business Administration.

Experience

• At least two (2) years of related experience and training, including experience in data analytics. Knowledge in fraud prevention and/or cybersecurity is preferred.

Certifications and Licenses (Nice to have)

• Computing Technology Industry Association (CompTIA) Certification
• Global Information Assurance Certification (GIAC)
• Microsoft Power BI Data Analyst Associate Certification
• Certified Analytics Professional (CAP) Certification
• SAS Certified Data Scientist Certification

Other Qualifications

• Analytical: Collects, researches, and complements data. Synthesizes complex or diverse information. Displays proficiency in data summarization and visualization (particularly based on big data sources), and general knowledge of statistical concepts such as: population identification, sample generation, descriptive or inferential statistics (ex. Means, standard deviations, probability).
• Design: Demonstrates attention to detail. Applies design principles. Generates creative solutions.
• Problem Solving: Identifies and resolves problems in a timely manner. Develops alternative solutions.
• Oral Communication: (Spanish and English) Speaks clearly and persuasively in positive or negative situations. Demonstrates group presentation skills.
• Written Communication: (Spanish and English) Writes clearly and informatively. Edits work for spelling and grammar. Presents numerical data effectively.
• Focus: Stays focused on main issues, prevents irrelevant issues or distractions from interfering with timely completion of assignments.
• Has the ability to work independently and/or as part of a team, with little to no supervision.
• Uses logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions and/or approaches to problems.
• Is organized, result-oriented and committed to meeting deadlines. Is a Fast-learner, proactive and self-taught individual.
• Can work under pressure and deal with innovation and constant/rapid changes.
• Demonstrates flexibility of mind and receptiveness to new ideas. Has problem-solving, inquiry and critical thinking skills. 
• Is systematic and meticulous with details to effectively process large amounts of data into meaningful information.
• Can effectively coordinate multiple tasks simultaneously, managing time and resources to ensure work is completed efficiently and within establishing time frames.
• Proactively shares findings with team members, colleagues, and clients inside and outside of the department.

Values

Additional Requirements

The information provided here is only a general guide as to the nature of the position and does not constitute an exact description of the goals, tasks, duties and responsibilities of the position. The specific details of each position are described in the employee’s performance evaluation.