About the Team/Role
The Business Intelligence Analyst II serves as a technical architect and automation lead within one or more of the domain areas within the Global Risk Operations organization. You will leverage enterprise-approved tools-Tableau, Python, SQL, and RPA-to modernize legacy workflows and drive operational scale. This role is the bridge between theoretical efficiency and the deployment of hardened, audit-ready automation.
You are a change agent dedicated to the continuous improvement of the department's technical and automation capabilities. Your success will be determined by your ability to modernize the risk landscape through governed self-service. You will be evaluated on three primary pillars - operational scale, efficiency and impact, and integrity and compliance.
How you'll make an impact
SOLUTION ENGINEERING & AUTOMATION DELIVERY
- Workflow Transformation: Identify manual bottlenecks and engineer automated, self-service replacements that adhere to enterprise technical standards.
- Infrastructure Lead: Build and maintain the technical infrastructure required to automate complex financial risk workflows across assigned regions.
- Scaling through AI: Proactively integrate AI-driven technologies to eliminate manual touchpoints, creating a self-scaling environment that grows without increasing headcount.
- Change Agency: Serve as a departmental catalyst for technical evolution, applying strategic thinking and process re-engineering to transform manual workflows into scalable, automated solutions.
ADVANCED ANALYTICS & DATA STEWARDSHIP
- Strategic Data Assets: Transform raw data into strategic assets, utilizing advanced analytics to provide stakeholders with predictive insights.
- Self-Service Ecosystems: Develop and manage standardized reporting environments (Power BI/Tableau) that empower stakeholders with real-time data while maintaining a single source of truth.
- Efficiency Engineering: Design and deploy technical solutions specifically intended to drive measurable cost savings and mitigate operational risks.
- Insight Delivery: Perform deep-dive analysis of trends to identify and illustrate emerging issues, providing management with clear direction and data-backed explanations.
OPERATIONAL EXECUTION & TECHNICAL INTEGRITY
- Performance Tracking: Implement processes and reporting to track work items, volume, and turnaround time, ensuring accurate capture of required operational data.
- Reporting Administration: Oversee the lifecycle of departmental reporting, including KPIs, management dashboards, and both scheduled and ad-hoc requirements.
- Sustainable Automation: Deliver innovative alternatives to manual processes by continuously educating the team on current applications and automated technology.
COMPLIANCE, GOVERNANCE & SOLUTION INTEGRITY
- Financial Controls and Compliance: Maintain rigorous standards for data integrity, ensuring all automated reports and workflows are fully compliant with regulatory and internal audit standards.
- Technical Integrity: Oversee report administration and version control to ensure the longevity and reliability of deployed solutions.
- Risk Mitigation: Ensure all self-service tools are built with robust error handling and audit trails to prevent operational drift.
These statements are intended to describe the general nature and level of work being performed rather than give an exhaustive list of all duties and responsibilities.
Experience you'll bring
Minimum Required Qualifications for Consideration
- Bachelor's degree in a quantitative field (e.g., Computer Science, Data Analytics, Finance) OR an equivalent combination of education and relevant technical experience.
- 2-4 years in a Finance or Risk Operations environment.
- Foundational understanding of SOX or similar regulatory frameworks.
- Proven history of successfully converting manual processes into automated, scalable workflows.
- Proficiency in complex joins and ETL processes.
- Python: Intermediate proficiency, specifically utilizing Pandas and NumPy for data manipulation.
- RPA: Hands-on experience with enterprise platforms like UiPath or Power Automate.
- Must have intermediate or better SQL and Oracle database experience, working with large data sets.
- Must successfully pass a background investigation.
Competencies:
- Analytical mind that can trouble-shoot, problem solve, and think logically through multifaceted issues and provide clear direction and explanation.
- Ability to effectively and calmly operate within a complex, fast-paced and changing environment.
- Self-motivated, solution oriented and results driven.
- Effective verbal and written communication skills
- Excellent time management, prioritization skills, goals setting, planning and work scheduling skills.
- Superior critical thinking and problem solving skills
- Strong attention to detail with the ability to recognize and react to discrepancies.
- Emerging Tech: Experience with Prompt Engineering and building RAG systems or using LLM APIs to enhance automation.
- SAS programming skills.
- Experience interpreting contractual terms.
- Knowledge of WEX systems and business processes.
- A high degree of professional curiosity and a "systems thinking" approach to problem-solving.
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX''s total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX''s comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.
Pay Range: $71,200.00 - $84,900.00