Live opening · Posted 4 days ago

AP Analytics and Compliance Analyst

Texas Instruments · Dallas, TX, United States
Oracle
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At a glance

The key details from the original listing.

Posted 4 days ago
CompanyTexas Instruments
LocationDallas, TX, United States
SourceOracle
Listed4 days ago

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About the role

Description supplied by the original job listing.

Texas Instruments (TI) is looking for an organized and analytical individual to fulfill an AP Analytics and Compliance Analyst.
Business Summary
Accounts Payable and Accounts Receivable (APAR) play a critical role in protecting the company’s financial assets, enabling customers and suppliers, and managing financial transactions across a complex global business.
The AP Analytics and Compliance Analyst will work at the intersection of finance, data, technology and risk. This role will use analytics, automation and technical problem-solving to improve APAR processes, strengthen controls, identify risk and help modernize financial operations.
This is a hands-on role for someone who enjoys understanding how processes work, challenging how they could work better, and using technology and data to make that happen.
What You’ll Do
Analytics & Data
Analyze large AP datasets to identify trends, exceptions, risks, root causes and improvement opportunities
Build queries, analytical models, dashboards and performance metrics to answer business questions and support decisions
Develop exception-based analytics to detect unusual transactions, control failures, payment behaviors and emerging risks
Reconcile data across financial systems, investigate discrepancies and improve data quality through validation, monitoring and automated controls
Support data governance, including data definitions, lineage, ownership and source-of-truth alignment
Translate findings into clear recommendations and management readouts for operational and senior leadership
Process Improvement & Transformation
Analyze end-to-end AP processes to identify opportunities for simplification, standardization and automation
Use process mapping, process mining and data analysis to uncover bottlenecks, exceptions and non-value-added work
Lead root-cause analysis and develop sustainable solutions that address underlying issues
Support projects from problem definition through implementation, including requirements gathering, testing, UAT and post-launch validation
Build business cases that quantify financial, productivity and control benefits
Create training materials and support rollout and adoption of new systems and processes
Compliance, Controls & Risk
Support the design, implementation and monitoring of AP financial controls
Perform data-driven control testing to identify control gaps, unusual activity and financial risk
Support SOX compliance, including documentation, testing and remediation
Analyze payment and transaction data for fraud, duplicate payments and other control concerns
Support access-control and segregation-of-duties analysis, and help maintain aligned policies and procedures
Partner with Internal Audit, Compliance, IT Security and other stakeholders to resolve control issues
Technology & Payments
Use Denodo, Spotfire, APIs and related technologies to automate data extraction, transformation, analysis and workflows
Build and integrate solutions using REST APIs, JSON and other system interfaces
Partner with IT to design, test and implement integrations and technical solutions
Develop prototypes and proof of concepts to demonstrate new capabilities
Identify practical opportunities to apply AI, machine learning and intelligent automation within APAR, with appropriate governance and protection of financial and customer data
Build expertise in AP, AR and payment flows, and identify ways to improve payment efficiency, security and customer or supplier experience
What Success Looks Like
Success in this role means turning data into action and problems into scalable solutions.
The analyst will help APAR identify risks earlier, automate manual processes, strengthen controls, improve data quality and provide better insight into financial operations. They will be expected not only to identify what is happening, but to determine why it is happening and help build the solution.
Over time, this role will develop broad expertise across APAR operations, financial controls, payments, analytics and technology and become a key technical resource supporting the continued transformation of the organization.
Required
Minimum Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Finance, Accounting or a related field
Strong analytical and structured problem-solving skills, with experience working on large datasets
Experience with SAP, Oracle or another enterprise ERP environment
Knowledge of SOX compliance and financial controls
Experience with data visualization and BI platforms such as Business Objects, Spotfire or equivalent
Working knowledge of SQL, Python or another scripting or programming language
Experience with ETL or ELT, data modeling, data quality and data lineage
Understanding of APIs, REST services, JSON and system integrations
Ability to translate complex business processes and problems into technical solutions
Experience with process improvement, project management or technology implementation
Strong written and verbal communication skills, including the ability to tailor messages to different audiences
Ability to work independently across functions, influence without authority and manage projects through completion
Strong judgment, time management, strategic thinking and compliance mindset
Ability to proactively identify risks and opportunities and communicate recommended actions
Preferred
Experience in accounts receivable, accounts payable, treasury, payments or other financial operations
Knowledge of PCI DSS and payment-card security requirements
Understanding of international financial, privacy or payment compliance requirements
Experience with workflow automation or RPA technologies
Practical experience with generative AI, LLMs, AI agents or AI-enabled workflow automation
Knowledge of machine learning, anomaly detection or predictive analytics
Understanding of identity and access management, segregation of duties, encryption and tokenization
Experience with fraud analytics or continuous controls monitoring

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