Korn Ferry is partnering with our client on their search for a Payment Analytics Manager – Payment Card Analytics.
Company Overview:
Our client is a large, well established U.S. refining and energy supply organization with multiple refineries, terminals, pipelines, and related infrastructure assets across the United States
The company operates a significant crude refining footprint and employs several thousand professionals across refining, supply and trading, commercial, and corporate functions
The organization is known for its strong operational discipline, long term stability, and commitment to values such as safety, integrity, accountability, and collaboration
The company continues to invest in modern technology platforms, including enterprise ETRM systems, to enhance data driven decision making, risk management, and financial analytics across the business
Department: Payment Card / Analytics & Business Intelligence
Location: Houston, TX (On-site at Corporate Headquarters)
Team Scope: Join a highly collaborative analytics environment focused on driving data-driven decision making across Payment Card operations, marketing, customer service, IT, and business leadership
Primary Focus: Lead advanced analytics initiatives, develop predictive and optimization models, translate complex business challenges into analytical solutions, and drive profitability through actionable business intelligence and data strategy
Key Responsibilities:
Develop and implement advanced analytics models to drive business insights, operational optimization, and profitability improvements within Payment Card operations
Partner cross-functionally with IT, Marketing, Operations, Customer Service, and business leadership to identify analytical opportunities and support strategic initiatives
Act as an analytical translator between technical teams and operational business stakeholders to simplify complex information and support data-driven decision making
Create and deliver executive-level dashboards, presentations, and analytical reports for internal stakeholders and senior leadership
Lead research and development initiatives focused on enhancing analytics capabilities, automation, and data-driven innovation
Support the design, implementation, and governance of new data systems and analytical infrastructure
Develop and maintain data architecture, data dictionaries, governance processes, and quality control procedures to ensure data integrity and consistency
Build and maintain business intelligence solutions utilizing Power BI, DAX, M, Tableau, Power Platform, and related visualization tools
Apply predictive and exploratory analytics techniques including forecasting, trend analysis, optimization studies, and performance measurement
Explore and apply emerging technologies including ML/AI and augmented decision-making methodologies to improve business capabilities
Provide training and support to business users on analytics tools, reporting platforms, and data interpretation
Support ad hoc analytics requests and rapidly solve complex business problems in both team-based and independent environments
Ideal Candidate Profile:
Must have strong experience in data analytics, business intelligence, and advanced reporting environments
Minimum 5+ years of relevant analytics or business intelligence experience required
Strong hands-on expertise with Power BI, including DAX and Power Query (M), required
Experience with data visualization and automation platforms such as Tableau and Power Platform strongly preferred
Experience developing predictive models, optimization studies, forecasting, and advanced business analytics solutions
Strong ability to translate technical findings into actionable business recommendations for non-technical stakeholders
Bachelor’s degree preferred in Mathematics, Statistics, Computer Science, Engineering, Supply Chain, Business, or related discipline
Experience with SQL, Python, and/or R strongly preferred
Experience with SAP and Azure platforms is a plus
Knowledge of downstream Oil & Gas operations or payment card environments strongly preferred
Strong communication and presentation skills with the ability to influence stakeholders across multiple departments
Self-starter mindset with the ability to solve ambiguous and complex business challenges independently
Passionate about continuous learning, innovation, and applying emerging technologies to real-world business problems
Compensation & Benefits:
Competitive base salary commensurate with experience
Annual performance-based incentive opportunity
High-visibility role supporting enterprise-level analytics and modernization initiatives
Opportunity to work directly with senior leadership and cross-functional business units
Long-term career growth within analytics, business intelligence, strategy, or leadership pathways
Stable and well-established organization with strong investment in technology and innovation
Selling Points
High-impact analytics role driving strategic business decisions across a major enterprise environment
Opportunity to lead advanced analytics and business intelligence initiatives with direct influence on profitability and operational performance
Exposure to emerging technologies including AI, machine learning, predictive analytics, and automation
Collaborative environment working across IT, Marketing, Operations, Customer Service, and executive leadership
Ideal opportunity for a data-driven professional seeking ownership, visibility, technical growth, and long-term career progression
Work on complex and meaningful business challenges where analytics directly influences strategic outcomes