Corporate Data Analyst

Full Time
  • June 24, 2026
  • Employment Info

    JOBĀ  DETAILS

    Description
    • Reviews existing data and operational processes to identify best practices and opportunities for improvement.
    • Creates interactive dashboards, reports, and tools to support FrAML processes and communicate findings.
    • Identifies and supports process improvement and operational modernization efforts throughout the fraud/BSA/AML business unit.
    • Performs in-depth statistical analysis using advanced statistical techniques and machine learning algorithms to support core business initiatives, including support of vendor-provided models and tools.
    • Develops and maintains efficient, reusable data assets to support analytics and reporting efforts.
    • Works with key business partners to understand business priorities, identify strategic initiatives, and develop effective and timely analytic solutions. Supports and aligns with broader Business Intelligence and Analytics priorities.
    • Remains updated with the latest methodologies, tools, and industry trends in machine learning and artificial intelligence.
    • Must comply with all company policies and procedures and all applicable laws and regulations, including but not limited to, the Bank Secrecy Act, the Patriot Act, and the Office of Foreign Assets Control. Must complete the assigned online training courses. and achieve a passing score by due date.

    About You


    Qualifications

    To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

    Bachelor’s Degree
    Bachelor’s Degree in economics, quantitative business analysis, applied mathematics, statistics, management information systems or related field.

    Experience
    Required
    3 years
    Minimum of 3 years in financial services with a focus in fraud and/or BSA/AML analytics.
    Required
    Expert Experience
    Minimum of 3 years experience working with data as an analyst or engineer, with experience in visualization tools such as Tableau, PowerBI, etc.
    Required
    Expert Experience
    Expert experience working with SQL and relational database systems.
    Required
    Beginner Experience
    Other statistical or analytics -related computer languages such as R, Python, Spark, or similar.
    Required
    Beginner Experience
    Experience in Data Modeling, Data Architecture, and Enterprise Data Governance Frameworks preferred, with a focus on Kimball-style dimensional data modelling.
    Required
    Advanced / Specialized Knowledge
    MS Excel, PowerPoint, Word, and ability to create user friendly technical reports.
    Preferred
    Knowledge Of
    DataBricks or similar modern data warehousing and analytics platform.

    Required Skills and Abilities
    • The ability to motivate or influence internal or external senior level professionals is a critical part of the job, requiring a significant level of influence and trust. Obtaining cooperation and agreement on important outcomes via frequently complex, senior level dialogues, as well as a professional level of written communication skills are essential to the position.
    • Exceptional communication skills, with the ability to talk to every level, from C-level executives to front-line employees.
    • Knowledge of and experience working with complex databases.
    • Ability to analyze data to discover hidden patterns and conducting error/deviation analysis.
    • Passion and curiosity about the technology-driven world, and empathetic to solving our customer’s needs.
    • A results oriented mindset with the desire and ability to push through obstacles to achieve goals.
    • Builds extensive networks- utilizes a large network of people, vendors, technologies to stay current
    • Strong interpersonal and communication skills, and ability to effectively interact with senior executives and work independently.
    • Excellent organizational skills.
    • Ability to make judgments based on information provided.
    • Ability to work and complete tasks with minimal direct supervision.
    • Ability to maintain high level of confidentiality.
    • Employee must be capable of regular, reliable, and timely attendance
    • Employee must be capable of interacting calmly and professionally with a variety of people from diverse backgrounds at various levels within and outside of the organization.

     

     

     

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