Data Analyst

• Maintain an understanding of workflows between operational departments
• Communicate ongoing task status regularly to end users and the Team Lead or DataOps Manager
• Analyze insurance claims, import/export files, and eligibility file mappings to troubleshoot operational inquiries
• Identify technical issues from improper enrollment or enrollment changes on EDI files
• Coordinate with engineering partners to resolve EDI issues
• Coordinate ongoing EDI testing, implementations, and upgrades
• Troubleshoot and report operational error messages
• Troubleshoot and report file movement errors, including SFTP connection errors
• Compare reports and data files against documented business requirements to ensure quality and identify gaps
• Perform other duties assigned by the Team Lead or DataOps Manager

Data Analyst, Data Operations

• Advise and influence program directors, factory leaders, and external customers
• Manage and execute processes, standards, and plans supporting Operations, Supply Chain, and Quality strategy
• Provide Cost Account Management support
• Engage and support metrics for monthly Management Board Review meetings
• Support proposals, including writing Basis of Estimates and Standard Bidding Tool materials
• Support Missile Delivery and Teardown Tracking using SAP tools
• Support the Material Program Manager team with metrics, data analytics, presentations, and supplier engagements
• Implement internal operational key performance indicators to ensure timely customer delivery and adherence to plan
• Lead operational excellence, continuous improvement, and efficiency initiatives across OSC processes
• Support all Strategic Make Centers manufacturing sites

Program Operations Data Analytics Manager

• Lead the firm’s enterprise data and analytics strategy, roadmap, operating model, and investment priorities
• Oversee data architecture, engineering, governance, analytics, data science, machine learning engineering, and enterprise data platforms
• Own the architecture, security, reliability, scalability, performance, and cost efficiency of the Databricks and Microsoft Azure lakehouse environment
• Establish enterprise standards for data integration, modeling, quality, governance, metadata, lineage, access, security, and compliance
• Direct machine learning engineering and MLOps practices, ensuring models and data products move reliably from development to production
• Enable analytics, AI, and self-service capabilities through trusted data products, semantic models, and governed data services
• Lead build, buy, and partner decisions, including vendor management, technology investments, platform optimization, and technical debt reduction
• Partner with business and technology leaders to identify opportunities for data, analytics, and AI and translate technical priorities into measurable business value
• Manage budgets, resources, platform consumption, risks, and executive reporting across the data organization
• Lead and develop a high-performing global organization across multiple regions and time zones

Senior Director, Data & Analytics

• Analyze complex data sets and uncover insights that drive business decisions
• Design and develop dashboards, reporting solutions, and analytics tools using SQL, DOMO, and Alteryx
• Partner with business leaders to understand challenges and deliver data-driven solutions
• Present findings and recommendations to stakeholders at all levels, including senior leadership
• Manage multiple analytics initiatives while balancing priorities and deadlines
• Ensure data quality, integrity, and adherence to governance standards
• Continuously improve reporting processes and identify opportunities for automation
• Influence strategic decisions across Operations and improve operational performance
• Collaborate with stakeholders and build innovative reporting solutions

Data Analytics – Operations

• Execute substantive money laundering, economic sanctions, fraud compliance, and operational risk practices
• Work directly or through compliance officers for Front Line Units and Control Functions to complete compliance, policy, and operational/fraud risk management requirements
• Own production for EFRC and EFRA, including enterprise fraud risk assessment, analytics, committee support, and data analytics across the GFC organization
• Advise and direct development and maintenance of financial crimes policies and standards
• Review Front Line Units/Control Functions policies and standards for regulatory and operational risk coverage
• Produce or oversee independent financial crimes risk management reporting for senior leaders
• Monitor regulatory changes and direct policy, standards, procedure, and process updates
• Participate in industry forums and monitor emerging legislation, regulation, political scrutiny, litigation, and key influencers
• Escalate financial crimes compliance and operational risks to governance routines and management/board committees
• Identify, aggregate, report, escalate, inspect, and challenge issue remediation and thematic analysis
• Review and challenge operational loss events, develop remediation plans, and oversee control enhancements

GFC Manager – Fraud, Data Analytics

• Develop and implement multiple Data and Analytics sub-functions within a Function or Line of Business
• Lead short-term and long-term strategy and vision for assigned sub-functions, aligning objectives with enterprise strategies
• Lead strategic, tactical, operational and financial responsibilities for data storage, preparation, exploration, information governance, analytics and information delivery
• Oversee delivery of information and analytics platforms and solutions to business stakeholders and cross-functional partners
• Manage the end-to-end process of information management, analytics and delivery
• Evaluate and integrate industry trends and best practices into processes, technology and strategic plans
• Provide thought leadership on data, information and application architecture decisions
• Lead data reporting, identify reporting opportunities and analytics projects, retire reports and promote advanced self-service capabilities
• Provide strategic insights to senior leaders and key stakeholders
• Set analytic direction and create strategies that influence business and drive change
• Oversee innovation, work prioritization and capacity; assist with problem resolution
• Oversee information delivery experience and risks
• Identify opportunities to use advanced data delivery and business solution techniques to resolve business issues
• Ensure business risks are identified, measured, monitored and controlled according to risk and compliance policies

Director, Business and Data Analytics

• Lead, coach, and develop a team of BI developers, data analysts, and analytics engineers
• Manage team performance and career growth
• Own delivery outcomes, quality, and adherence to analytics standards
• Foster a high-performance, collaborative team culture
• Translate business objectives into an analytics delivery roadmap
• Ensure consistent delivery of dashboards, reports, and analytical solutions
• Provide leadership on complex initiatives across business and technology
• Oversee development of analytics using Tableau and enterprise platforms
• Ensure insights are executive-ready with clear narratives and recommendations
• Guide scalable solution design, including data models and KPIs
• Provide technical oversight using SQL, Python, and PowerShell
• Partner with Data Engineering and ETL teams
• Ensure alignment with SAP, Salesforce, Cisco, and Workday
• Establish standards for data quality, documentation, and testing
• Act as a senior analytics partner to business leaders
• Communicate analytics clearly to non-technical audiences
• Influence across matrixed organizations

Data Analyst jobs in Arizona