Data Analyst

• Build and maintain strong partnerships across technology, analytics, and business teams
• Prepare and deliver presentations, status updates, and recommendations to leadership and stakeholders
• Provide onboarding, training, and user support for enterprise analytics and data platforms
• Communicate platform performance, governance updates, and process changes to diverse audiences
• Promote compliance with data governance, risk management, and operational control requirements
• Monitor platform health, performance, and usage metrics to identify risks and improvement opportunities

Business Analytics Specialist

• execute the strategy of the Bank’s Enterprise and Operational Risk Management Framework
• driving technology risk reporting and analytics
• establishing Operational Risk Management programs with a focus on Risk and Control Self-Assessment (RCSA)
• establishing strong partnerships and collaborate with Business Units across the First Line of Defense (FLOD)
• identifying risks and controls, reviewing control design and descriptions
• providing guidance to FLOD on development of effective controls to mitigate key risks
• identifying potential risks across the organization
• analyzing technology risk datasets to identify trends and emerging risks
• offering validated, data-driven insights to senior management
• designing, building, and maintaining Power BI dashboards and reports that deliver actionable technology risk insights
• supporting the integration of key IT, IS, TP, and DM data sources to risk monitoring reporting platforms
• identifying and implementing automation opportunities in reporting to enhance workflow efficiency
• conducting assessments of 1LOD functions using industry-standard frameworks
• serving as a technology and data management risk expert on committees and working groups
• developing and implementing risk mitigation strategies and controls

Senior Data Analyst, Enterprise Risk Management

• Analyze large and complex datasets to identify trends, risks, opportunities, and root causes impacting business performance
• Develop and maintain Power BI dashboards, reports, and visualizations that enable data-driven decision-making across the organization
• Partner with stakeholders to gather requirements, define business needs, and translate those needs into scalable analytics solutions
• Serve as a bridge between business and technical teams, ensuring alignment on requirements, capabilities, and project objectives
• Build data models, predictive analytics, and forecasting tools to improve planning and operational effectiveness
• Write and optimize SQL queries and leverage Python or other analytical tools to automate reporting and perform advanced analyses
• Support inventory optimization, fill-rate performance, supply-demand balancing, and forecasting initiatives
• Present findings and recommendations to audiences ranging from operational teams to senior leadership
• Lead and contribute to cross-functional projects focused on process improvement, business intelligence, and operational excellence

Aftermarket Business Data Analyst

• Own Foley's enterprise data model
• Drive the medallion architecture from a product definition perspective
• Own Silver and Gold layer data definitions
• Prioritize the engineering backlog in partnership with the VP of Engineering
• Be the primary data platform partner for business stakeholders
• Own stakeholder communication
• Maintain a weekly touchpoint with the AI Value Creation Office
• Own delivery against quarterly KRs
• Own the product roadmap for Foley's intelligence self-service platform
• Own the API layer as a product
• Define and maintain the metric layer
• Partner with the data analyst and engineering to enable self-service intelligence
• Drive platform adoption and capability enablement across the organization
• Own the capabilities and paved paths backlog

Staff Product Manager, Data & Analytics

• Analyze integrated and extensive datasets to extract value, which directly impacts and influences business decisions
• Work collaboratively with key business stakeholders to identify areas of value, develop solutions, and deliver insights to reduce overall cost of care for members and improve their clinical outcomes
• Interpret and analyze data from multiple sources including healthcare provider, member/patient, and third-party data
• Support execution of large-scale projects with limited direction from leadership
• Identify and perform root-cause analysis of data irregularities and present findings and proposed solutions to leadership and/or customers
• Manage multiple, variable tasks and data review processes with limited supervision within targeted timelines
• Support the design, testing, and implementation of process enhancements and identify opportunities for automation
• Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how customers interact with analytic products
• Support multiple functions and levels of the organization and effectively, both verbally and visually, communicate findings and insights to non-technical business partners
• Independently engage with customers and business partners to gather requirements and validate results
• Communicate and present data-driven insights and recommendations to both internal and external stakeholders, soliciting and incorporating feedback when required

Data Analyst II – Healthcare Analytics

• Leading capacity planning and workforce optimization activities for the Retail Storefront Support Team
• Ensuring effective management of capacity levers, operational performance, and financial resources
• Translating business insights into actionable strategies by partnering across teams to analyze performance data, identify trends, and recommend solutions that improve customer experience, retention, productivity, and growth outcomes
• Leading discussions with key stakeholders to communicate information learned from analyses, provide input into line of business strategy development, and drive and influence business decisions
• Overseeing efforts to identify key business assumptions and hypotheses around line of business strategy
• Continuously refining hypotheses and identifying business questions to explore further
• Developing the analytical framework and blueprint to answer business questions identified in the business portfolio, product, or member experience and providing support to lower levels towards this effort
• Collaborating with key stakeholders to evaluate and uncover complex or critical strategic insights related to Profit & Loss performance including Product Strategy, Pricing, Marketing, Sales, Credit Risk, Distribution Channels, and Member Experience
• Applying expert analytical rigor to define outcome measures, improve prioritization, increase agility in decisioning, improve ability to evaluate progress towards business outcomes, and to evaluate risks to strategic goals
• Effectively influencing and driving strategic agreement utilizing subject matter expertise and interpersonal and negotiation skills
• Serving as a team lead and providing guidance and on-the-job training to team members
• Ensuring risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures

Lead Business Strategy Analyst – P&C Contact Center Workforce Analytics

• Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams
• Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.
• Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change
• Translates recommendation into communication materials to effectively present to various levels of management.
• Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.
• Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).
• Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.
• Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.
• Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.
• Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.
• Provides subject matter expertise in operationalizing recommendations.
• Remains informed on current data and analytics trends.

Senior Decision Science Analyst – P&C Underwriting Analytics

• This job is responsible for supporting analytical work efforts for various projects within a Line of Business or business discipline
• Supports the extraction of data using a variety of programming languages, such as SQL, SAS, Python, or Spark/Scala
• Applies knowledge of relational and non-relational database systems housed on both on-premise and off-premise (hybrid) platforms
• Connects provisioned data across multiple sources and performs necessary transformations utilizing both technical, business, and process knowledge
• Performs quantitative techniques and analysis on customer, transaction, and performance data with the guidance from other analysts and supervisors
• Communicates complex subjects in a simple and engaging manner to non-technical and technical business partners
• Assists with conducting quality comparison checks on analysis output and escalates data inconsistencies, gaps, or issues to leadership
• Follows quality workflow process and documentation requirements to adhere to standards and provide business continuity

Client Quantitative Analyst I – Data Reporting and Operations Management

• Collect, organize, and maintain sustainability program data from online initiatives and engagement activities.
• Track participation, engagement, and learning outcomes related to sustainability programs for online students.
• Assist with creating surveys, forms, and assessment tools to gather feedback and measure program effectiveness.
• Analyze data and identify trends, opportunities, and areas for improvement.
• Develop dashboards, reports, infographics, and data visualizations that communicate program impact.
• Support the collection and analysis of data for annual sustainability reports and strategic planning initiatives.
• Research sustainability benchmarks, best practices, and emerging trends relevant to higher education and online engagement.
• Collaborate with other Eco Reps to evaluate the effectiveness of campaigns, events, workshops, and educational programs.
• Present findings and recommendations to the Office of Sustainability staff and student teams.
• Maintain accurate records and documentation of sustainability-related metrics and outcomes.
• Assist with measuring participation in sustainability challenges, online learning opportunities, and virtual engagement initiatives.
• Support data-informed decision-making by providing actionable insights and recommendations.
• Monitor engagement metrics for online sustainability programming, newsletters, social media campaigns, webinars, and virtual events.
• Analyze participation patterns among online students to identify opportunities for increased engagement.
• Evaluate the effectiveness of virtual sustainability education initiatives and recommend improvements.
• Assist in developing metrics that capture the impact of sustainability programs on online learners.
• Support virtual focus groups, surveys, and feedback collection efforts.
• Compile monthly and semester impact reports.
• Track sustainability engagement goals and key performance indicators (KPIs).
• Assist with data collection for STARS reporting and other institutional sustainability assessments.
• Create visual summaries and presentations that communicate results to campus stakeholders.
• Support the development of data-driven recommendations for future sustainability initiatives.

Online Data Analytics Eco Representative

• Define and lead the end-to-end people analytics strategy aligned to HR & Community and business priorities.
• Deliver actionable insights that inform workforce, talent, and business decisions.
• Translate complex data into clear, compelling narratives for executive leaders.
• Advance analytics capabilities from descriptive reporting to predictive and forward-looking insights.
• Develop scenario modeling and forecasting capabilities to anticipate future workforce needs.
• Define and execute the HR&C data strategy to support scalable analytics, reporting, and AI use cases.
• Ensure data structures, quality, and accessibility support advanced analytics and AI adoption.
• Partner with product and technology teams to enable data-driven and AI-enabled HR&C solutions.
• Represent the HR&C domain in enterprise data governance, ensuring alignment with data standards and controls.
• Lead a high-performing, multidisciplinary team spanning analytics, data strategy, and research.

Head of People Analytics – Data

• Work directly with Marketing, Sales, and CX leaders to diagnose business challenges, define analytical roadmaps, and drive growth strategies.
• Develop rigorous analyses, models, and frameworks to optimize customer acquisition, lifecycle engagement, and retention.
• Build scalable machine learning solutions (e.g., targeting, segmentation, uplift modeling, LTV prediction) that improve growth efficiency and ROI.
• Drive acquisition, retention, and monetization through data-driven experimentation and modeling.
• Translate complex data insights into clear, actionable recommendations that influence decision-making at all levels of the organization.
• Collaborate with engineering teams to productionize models and analytics pipelines with high reliability and performance.
• Familiar with state of art AI solutions in Data Science domain and mentor Jr. data scientists.
• Drive best practices in experimentation, measurement, and growth analytics across the company.

Lead Data Scientist – Property Catastrophe Modeling, Geo-Analytics

• Manages the end-to-end lifecycle of critical talent programs: performance management (goal setting, mid-year, and year-end) and employee engagement
• Analyzes and translates people and business data into actionable insights and recommendations that drive talent, performance, culture, and employee engagement strategies
• Consults with team members to execute various surveys, programs, and plans across the business to measure and enhance performance and impact
• Collaborates on driving the rollout of career frameworks, talent reviews, succession planning, and development planning
• Creates executive-level talent presentations that transform complex information into compelling narratives, using advanced PowerPoint design, visualization, and storytelling techniques to effectively communicate insights and recommendations
• Supports the broader HR team with a variety of ad hoc performance, talent management/ analytics-related projects and/or initiatives to support business growth and people-related objectives.

Manager, Talent & People Analytics

• Managing the selection and utilization of pharmaceuticals and supports core clinical programs such as DUR, DIS and formulary management.
• Researching and synthesizing detailed clinical data related to pharmaceuticals.
• Preparing and presenting therapeutic class reviews and drug monograph information to the Pharmacy and Therapeutics Committee.
• Reviewing and approving or denying coverage for pharmaceuticals (as permitted by state/federal law or state/federal program contracts) based on medical necessity criteria.
• Coordinating with internal stakeholders or health plan medical directors as needed.
• Serving as a clinical resource to other pharmacists on areas such as prospective, inpatient and retrospective DURs.
• Providing dosage conversion and clinical support for therapeutic interventions.
• Preparing information for network physicians.

Pharmacist – Data Analytics

• Lead a team of data analytics professionals responsible for CRA analytics and reporting that support performance monitoring, regulatory reporting, business line engagement, executive reporting, and exam readiness
• Oversee the sourcing, integration, maintenance, and reporting of CRA data across multiple internal and external data sources
• Maintain strong understanding of the data sources, system logic, and reporting outputs used to assess CRA performance under the Lending, Investment, and Service Tests
• Ensure reporting outputs are complete, accurate, consistent, and responsive to the needs of CRA Program Office leaders, business line partners, exam teams, audit partners, and OCC regulators
• Create, implement, and manage significant projects that upgrade and advance the use of automation and advanced analytics in the CRA data architecture and align it with enterprise data governance standards
• Translate complex data sets into clear, executive-ready insights
• Lead the development, maintenance, and modernization of CRA data, templates, tables, metrics, dashboards, and detailed reports
• Deliver accurate, timely, and exam-ready analytics and reporting to support performance monitoring, annual self-evaluation, exam self-evaluation, and OCC examination activities
• Oversee preparation of exam tables and respond to CRA exam data requests by coordinating data pulls, validating outputs, documenting assumptions, and ensuring responses align with examiner expectations
• Support CRA Wiz and Wiz SaaS administration, testing, data preparation, submission support, geocoding, and related reporting processes
• Establish and maintain data quality, validation, and reconciliation routines
• Maintain clear documentation of data sources and methodologies
• Lead investigation and remediation of CRA data quality issues and reporting discrepancies, including root cause analysis, corrective action planning, and documentation of resolutions
• Advance modernization of CRA data and reporting capabilities, including cloud-based architecture, Azure data environments, automated data refreshes and reusable reporting models
• Drive Power BI and self-service reporting capabilities
• Implement automation and advanced analytics to improve reporting outputs and reduce risk
• Redesign manual reporting processes to improve efficiency, reduce maintenance burden, increase consistency, and strengthen data governance.

Community Reinvestment Act (CRA) Data Analytics & Reporting Manager

• Collect, organize, and analyze data from multiple sources
• Prepare reports, dashboards, and visualizations to support business decisions
• Monitor key performance indicators (KPIs) and identify trends or patterns
• Verify the accuracy and integrity of data before reporting
• Maintain and update databases, spreadsheets, and reporting systems
• Collaborate with internal departments to gather business requirements and provide analytical support
• Perform data validation, cleansing, and quality assurance
• Generate recurring and ad hoc reports for management
• Present findings and recommendations in a clear and concise manner
• Assist with process improvement initiatives through data analysis
• Maintain confidentiality of company and customer information
• Perform additional analytical and administrative duties as assigned

• Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and reduce negative member experience from fraud applications, synthetic fraud, and account takeover attempts.
• Closely partner with the Strategy team, Director of Fraud Identity Analytics, Director of Fraud Model Management, and model users on model builds and priorities.
• Partner with Technology and other key collaborators to deploy a Member Protection graph technology strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes.
• Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims, and AML, improving fraud detection and loss mitigation.
• Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience.
• Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance.
• Exports insights to decision systems to enable better fraud targeting and model development efforts.
• Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks.
• Develops and mentors junior staff, establishing a culture of R&D to augment the day-to-day aspects of the job.
• Gathers, interprets, and manipulates sophisticated structured and unstructured data to enable sophisticated analytical solutions for the business.
• Leads and conducts sophisticated analytics demonstrating machine learning, simulation, and optimization to deliver business insights and achieve business objectives.
• Guides the team selecting the appropriate modeling technique and/or technology with consideration for data limitations, application, and business needs.
• Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework.
• Composes and peer reviews technical documents for knowledge persistence, risk management, and technical review audiences.
• Partners with business leaders from across the organization to proactively identify business needs and propose/recommend analytical and modeling projects to generate business value.
• Works with business and analytics leaders to prioritize analytics and highly sophisticated modeling problems/research initiatives.
• Leads efforts to build and maintain a robust library of reusable, production-quality algorithms and supporting code to ensure model development and research efforts are transparent and based on highest-quality data.
• Assists the team with translating business request(s) into specific analytical questions, implementing analysis and/or modeling, and communicating outcomes to non-technical business colleagues with a focus on business action and recommendations.
• Manages project portfolio milestones, risks, and impediments. Anticipates potential issues that could limit project success or implementation and escalates as needed.
• Establishes and maintains standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards.
• Interacts with internal and external peers and management to maintain expertise and awareness of leading techniques.
• Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies.
• Serves as a mentor to data scientists in modeling, analytics, computer science, business acumen, and other interpersonal skills.
• Participates in enterprise-level efforts to drive the maintenance and transformation of data science technologies and culture.
• Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

Lead Graph Data Scientist – Identity Analytics

• Develop and execute the analytics strategy for the People Relations & Enablement function
• Define, measure, and monitor key metrics that support enterprise decision-making and risk mitigation
• Design and deliver executive dashboards, scorecards, and reports that provide actionable insights
• Analyze people-related data to identify trends, emerging issues, organizational hotspots, and systemic risks
• Translate complex data into compelling narratives and recommendations for senior leaders and stakeholders
• Provide insight-driven guidance that helps leaders understand root causes and make informed decisions
• Partner with Technology, Workforce Analytics, Compliance, and Legal teams to ensure data integrity, governance, and confidentiality
• Establish data definitions, reporting standards, and governance processes that promote consistency and transparency
• Support automation initiatives and real-time reporting capabilities that enhance operational effectiveness
• Measure the impact of investigations, training initiatives, policy implementation, and resolution strategies
• Identify opportunities for early intervention and prevention by leveraging analytics to reduce recurring issues
• Create feedback loops that inform policy development, training strategies, and continuous improvement efforts
• Advance a proactive, data-informed People Relations & Enablement operating model focused on organizational health and trust.

People Relations & Enablement Analytics, Reporting Manager

• Perform advanced financial analysis and reporting to support strategic decision-making
• Develop and maintain sophisticated financial models for cash forecasting, capital planning, treasury management
• Conduct benchmarking, KPI analysis, and variance reporting to identify trends, risks, and opportunities
• Oversee budgeting processes, cost accounting, and productivity standards; provide recommendations for process improvements
• Mentor accounting staff, provide financial systems training, and support professional development within the finance team
• Present complex financial information and recommendations to senior leadership

Senior Financial Analyst – Cash Accounting, Analytics

• Define and execute the enterprise Data, Analytics, AI, and Automation strategy
• Develop and maintain a multi-year roadmap for data modernization
• Advise executive leadership on emerging technologies, AI trends, opportunities, and risks
• Manage enterprise data platform architecture, including the Enterprise Data Warehouse, Azure Data Lake
• Establish enterprise data governance, data quality, and master data management capabilities
• Develop enterprise analytics capabilities that improve decision-making
• Drive adoption of intelligent automation and AI capabilities to improve productivity
• Build, lead, and develop a high-performing organization

Senior Director, Enterprise Data, Analytics, AI & Automation

• Build and support data products that enable self-service reporting and analytics.
• Develop SQL- and Python-based solutions to automate data preparation, reporting, and monitoring processes.
• Analyze and validate data from multiple sources to ensure accuracy, quality, and reliability.
• Partner with Compliance, Risk, Legal, and Technology stakeholders to understand business needs and translate requirements into scalable analytical solutions.
• Design and enhance dashboards, visualizations, and lightweight applications that improve access to trusted data and insights.
• Work within AWS-based data environments to acquire, transform, and analyze data.
• Communicate findings, recommendations, and technical concepts effectively to both technical and non-technical audiences.

Data Analyst jobs in Arizona

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