Intelligence Analyst in United States

Treasury is leading a Finance wide capability for an AI-augmented operational model and process for variance analysis; this role will support the execution of that effort, providing key domain expertise and execution support. Day-to-day, the candidate will act as a key business contributor for the OM / AI capability build, supporting the delivery of the variance analysis process — including a prototype to be leveraged across Finance. This includes assisting in the definition of use case requirements, validating outputs, and helping to ensure the resulting tooling is fit for finance-wide reuse. The output of this work will contribute to establishing the reusable OM / AI pattern that subsequent Finance teams will adopt. This role requires an understanding of OM and AI strategic direction of the Finance function, combined with a solid conceptual/practical grounding in Liquidity Operations process. Excellent communication and collaboration skills are required in order to work effectively with internal stakeholders across various levels. Impact reflects professional influence on the business and close interaction with other functions and businesses. Responsibilities • Support the development and implementation of AI tooling to help establish a Finance wide common capability for variance analysis, including daily and periodic identification, root-cause analysis, and escalation of material variances across product, entity, and currency dimensions. • Collaborate within Treasury, across Finance, and with Technology to identify consistent attribution of variance drivers — including intra-day movements, and operational breaks. • Assist in preparing and presenting executive-level commentary and analysis to senior management on progress. • Contribute to the operating model process including supporting the documentation of escalation paths and process flows. Qualifications • 10+ years of experien

Citi's U.S. Consumer Cards (USCC) business is one of the largest card issuers in the United States, serving millions of customers across a broad portfolio of branded, co-brand, and retail services card products. We are seeking to hire a VP Rewards Reengineering - Strategy and Analytics position to be part of the USCC Pricing and Rewards Reengineering team. The VP Rewards Reengineering - Strategy and Analytics position will report to Rewards Reengineering Analytics Lead and will be responsible for developing Rewards strategies grounded in data, customer, and operational insights. This individual will leverage financial analysis to enhance portfolio profitability through many rewards strategic work, balancing customer experience and ensuring regulatory compliance. This role will partner across multiple teams, including Product, Finance, Risk, Legal, Compliance, Technology and Operations to drive Rewards strategies for USCC. Key Responsibilities: Develop comprehensive Rewards strategy recommendations based on in-depth customer insights (both quantitative and qualitative), sound financial impact forecasting and thorough understanding of competitive landscape and regulatory environment Evaluate new initiatives by developing financial sizings, weighing risk / reward tradeoffs, assessing customer impact, and various other key factors Retrieve data and conduct data driven analytics using various analytical tools, software, and techniques Develop robust forecasting and tracking capabilities, and ensure robust quality control in Rewards processes Understand regulatory implications associated with Rewards policy and develop mitigation / opportunity strategies Communicate clearly and effectively to business partners and senior leaders Candidate Qualifications 6+

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Realtime Defect Analysis (RDA) Yield Technology team supports advanced DRAM research and development by identifying, analyzing, and reducing manufacturing defects that impact yield and product performance. The team partners closely with engineers across R&D and High Volume Manufacturing to improve process stability, accelerate learning cycles, and drive continuous improvement through data-driven decision making. As an RDA Yield Technology Intern, you will gain hands-on experience with innovative semiconductor processing, defect inspection systems, and advanced analytical techniques. You will contribute to projects focused on experimentation, defect detection, data analysis, and process optimization while collaborating with multi-functional engineering teams. This role is ideal for individuals who are passionate about problem solving, root-cause investigation, and leverausingology to improve manufacturing performance. Responsibilities Analyze experimental process flows and defect inspection data to identify anomalies, investigate root causes, and support corrective actions. Partner with R&D and manufacturing teams to improve yield performance through defect detection, process monitoring, and continuous improvement initiatives. Leverage Artificial Intelligence (AI) and data analytics tools to accelerate defect detection, identify yield-impacting trends, automate routine analysis workflows, and generate actionable insights. Use inline defect signals, statistical analys

Become a part of our caring community The Business Intelligence Lead serves as the primary analytics and enrollment operations expert supporting Medicaid Enrollment. This role is responsible for leading state implementation readiness efforts, regulatory and contractual reporting support, enrollment analytics, compliance monitoring, and analytics modernization across Medicaid markets. The Business Intelligence Lead solves complex business problems and operational challenges using internal and external data sources to provide actionable insights and strategic direction to business leaders. This role serves as the primary analytics lead supporting Medicaid Enrollment Operations initiatives, with responsibility for state implementation readiness, enrollment analytics, compliance monitoring, and scalable solution architecture. This associate functions as a strategic individual contributor and internal consultant, partnering with business leaders, operational teams, compliance organizations, and technology partners to design and implement analytics solutions. The Business Intelligence Lead exercises independent judgment and decision-making authority on complex issues affecting state compliance, enrollment operations, contractual reporting obligations, membership reporting, reconciliation processes, and operational performance. The role leverages modern analytics platforms including Databricks, Power BI, SQL, and cloud-based data environments to create reusable and scalable solutions supporting current and future Medicaid market expansions. This associate is expected to influence strategy, identify opportunities for operational efficiencies, establish reporting standards, and drive modernization efforts that reduce implementation effort while improving compliance, operational visibility, and business outcomes. Use your skills to make an

About the Role We’re looking for a Competitive Intelligence Lead, a senior individual contributor reporting to the Head of Competitive Intelligence, to help operationalize and scale the company’s competitive intelligence capability. This person will own high-priority competitive analyses, executive-ready insights, and GTM enablement that help Product, Sales, Marketing, Customer Success, and leadership understand where we win, where we’re vulnerable, and how the market is evolving. This is not a traditional research role. It is a hands-on strategy role at the intersection of Product, GTM, Research, and Leadership. You will turn competitor movements, customer feedback, product data, and market signals into clear recommendations that influence roadmap decisions, positioning, pricing, sales execution, and executive decision-making. What You'll Do Partner with the Head of Competitive Intelligence to translate the company’s CI strategy into repeatable analyses, operating rhythms, executive materials, and GTM enablement. Own high-priority competitor deep dives, market landscape reviews, pricing analyses, product comparisons, Harvey Ball assessments, feature matrices, and strategic opportunity/risk assessments. Create executive-ready insights that inform product strategy, roadmap prioritization, GTM planning, pricing, and investment decisions. Develop best-in-class competitive messaging, objection handling, battlecards, and enablement content for Sales, Marketing, Customer Success, and Partnerships. Monitor competitor product launches, model releases, acquisitions, partnerships, pricing changes, funding activity, customer announcements, and GTM motions. Synthesize fast-moving and complex market information into clear implications, recommendations, and decision-ready narratives. Partner closely with Product Management to identify areas of differentiation, competitive gaps, customer pain points, and emerging opportunities. Collaborate with Marketing to sharpen positioning, me

Become a part of our caring community The Financial Analytics Professional 2 manages data to support and influence decisions on day-to-day operations, strategic planning and specific business performance issues. The Financial Analytics Professional 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. The Financial Analytics Professional 2 collates, models, interprets and analyzes data in order to identify, explain, influence variances and trends. Explains variances and trends in clinical and financial data and enhances modeling techniques to improve forecast accuracy. May possess financial or actuarial background. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures. Use your skills to make an impact Required Qualifications Bachelor's Degree 1&#43; years SQL and Python experience Microsoft Office (Excel, Power BI, etc.) Experience in compiling, modeling, interpreting and analyzing data in order to identify, explain, influence variances and trends Explain variances and trends and enhance modeling techniques Experience in managing data to support and influence decisions on day-to-day operations, strategic planning and specific business performance issues Must be passionate about contributing to an organization focused on continuously improving consumer experiences Preferred Qualifications Business Intelligence, Financial, or Actuarial background Azure Databricks experience</

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Summary: Micron Yield Improvement Failure Analysis Shift Technician that performs Electrical and Physical Failure Analysis (EFA/PFA) investigative work for defect issues identified by YE and Fab customers. Monitors recently probed material and categorizes dead die into known defect issue categories and investigates new or unknown defect issues. This position requires a strong sense of responsibility and passion, reflecting Micron’s core values: People, Innovation, Tenacity, Teamwork, and Customer Focus. Responsibilities: Performs initial data analysis on new issues, conducts failure analysis, documents findings, and summarizes investigation results—including potential root cause—into a single report for stakeholders. Efficiently operates all lab equipment in compliance with safety guidelines, with a strong understanding of equipment functionality and ability to perform basic troubleshooting. Supports Company and Department Objectives Works to support company and department objectives and vision plans Open to suggesting new ideas and participates in projects and teams in support of department and company objectives Minimum Requirements: Associates degree in Electronics, AC/DC Electronics Technology or equivalent Flexibility to work 12-hour shifts (3 on/4 off and 4 on/3 off) and be willing to move to different shifts and work overtime to support business operations. The ability to always wear lab-specific clean room garme

About the Role We're looking for a Head of Competitive Intelligence to build and lead a world-class competitive intelligence function. This person will transform market signals into strategic advantage by developing the frameworks, analysis, and insights that inform our product strategy, go-to-market approach, and executive decision-making. This is not a research role. It's a highly cross-functional strategy role that sits at the intersection of Product, GTM, Research, and Leadership. You'll establish the systems, operating cadence, and analytical rigor that help the company understand where we win, where we're vulnerable, and how the market is evolving. What You'll Do Build and own the company's competitive intelligence strategy and operating model. Develop and maintain comprehensive competitive assessments, including Harvey Ball analyses, feature matrices, product comparisons, pricing analyses, and market landscape reviews. Create executive-ready competitive insights that influence product strategy, roadmap prioritization, pricing, and investment decisions. Build best-in-class objection handling and competitive messaging for Sales, Marketing, Customer Success, and Partnerships. Monitor competitor product launches, model releases, acquisitions, partnerships, pricing changes, funding, and GTM motions, synthesizing complex information into clear strategic recommendations. Establish repeatable processes and tooling for collecting, validating, and distributing competitive intelligence across the company. Partner closely with Product Management to inform roadmap decisions and identify areas of strategic differentiation. Collaborate with Marketing to sharpen positioning and messaging based on competitive dynamics. Support executive leadership with board-ready competitive analyses and market briefings. Build dashboards and reporting that track competitive movements and emerging industry trends. Develop frameworks that evaluate competitors across capabilities, enterprise r

About the Team The Intelligence and Investigations team seeks to rapidly detect and disrupt abuse in AI technologies to ensure their safe use. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits all of humanity. About the Role As an Intelligence Systems Engineer, you’ll be focused on advancing our Intelligence & Investigations efforts at OpenAI, ensuring the safe and responsible use of AI across our products and services. We are seeking a self-starter to prototype, develop, and maintain new tools and processes that integrate OpenAI’s models and infrastructure to enable internal teams to make sense of large, open-domain datasets, fight abuse, and inform high-stakes decisions. You will be a crucial technical bridge between our data scientists and subject matter experts and technical teams like Platform Integrity, Safety Systems, and Research by leading the development of innovative tools and processes that bolster goals in scaled collections, investigations, and analysis. The ideal candidate has strong analytical and data skills, with a background in both prototyping and building scalable systems that can swiftly detect emerging threats, process vast amounts of information, and deliver insights to stakeholders. We value professionals with outstanding communication skills, a commitment to continuous learning, and who are dedicated to promoting the responsible use of AI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Prototype, build, and maintain at-scale intelligence systems that detect, triage, and monitor targeted signals from both open-source and internal data Analyze requirements and deliver end-to-end solutions that address

Become a part of our caring community The Senior Business Intelligence Engineer describes the tools, technologies, applications, and practices used to collect, integrate, analyze, and transform data into insightful and actionable business information. This position is a strategic analytics contributor responsible for developing complex, cross-functional reporting from conception through delivery in partnership with stakeholders to ensure insightful solutions align with organizational objectives and operational priorities. The ideal candidate demonstrates mature judgment, strong governance discipline, and ability to lead with ambition and scale. The Senior Business Intelligence Engineer role works assignments involving moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The Senior Business Intelligence Engineer describes the tools, technologies, applications and practices used to collect, integrate, analyze, and present an organization's raw data to create insightful and actionable business information. Key Responsibilities Design and maintain BI dashboards and analytic solutions from end-to-end Partner with leaders to define KPIs and reporting that support business operations and strategy Ensure data accuracy, auditability, and traceability for regulatory reporting Optimize SQL queries and BI models for large-scale datasets Implement data governance standards including metric definitions and documentation Improve delivery processes, tools, and metrics to increase efficiency Serve as a trusted advisor to leaders, enabling informed decision-making through clear, data-driven communication and reporting Use your skills to make an impact Requi

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsible for understanding the processes used to assess and mitigate risks related to the introduction of new package technologies so that you can improve efficiency and effectiveness by implementing automation, data analysis and machine learning/AI solutions. Set up data bases, develop data ingestion pipelines, and implement automated data analysis and reporting tools. Support problem solving and risk assessment for internal or customer quality issue by pulling and analyzing data. Contribute to the advancement of technology at Micron through mentoring, publishing technical papers (internal and external), and developing innovative solutions to challenging problems. Implement Automation, Data Analysis, and AI Solutions. Collaborate with Engineering teams to Map Package DDQA processes and data streams. Set up and optimize databases and develop solutions to improve efficiency and effectiveness. Understand the needs of internal customers and develop solutions. Support Problem Solving and Risk Assessment for Quality Issues. Pull relevant product information, manufacturing data, and reliability data based on given problem statements. Determine the appropriate dataset and treatment required to answer questions posed by problem solving teams. This could include producing data visualizations, machine learning models, statistical inferences, and web applications. Provide recommendations about root cause findings and product risk, based on data analysis. Collaboratively Communicate Findings and Best Practices. Share best practices with global teams to enable a cultur

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips. What you'll be doing: As a senior member in our team, you will work with pre-silicon and post-silicon data analytics - visualization, insights and modeling. Design and uphold sturdy data pipelines and ETL processes for the ingestion and processing of DFX Engineering data from various origins Lead engineering efforts by collaborating with cross-functional teams (execution, analytics, data science, product) to define data requirements and ensure data quality and consistency You will work on hard-to-solve problems in the Design For Test space which will involve application of algorithm design, using statistical tools to analyze and interpret complex datasets and explorations using Applied AI methods. In addition, you will help develop and deploy DFT methodologies for our next generation products using Gen AI solutions. You will also help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: BSEE (or equivalent experience) with 5&#43;, MSEE with 3&#43;, or PhD wi

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Position Overview The Manager, Enterprise Analytics & Reporting leads a multidisciplinary team of analytics and reporting developers, business intelligence professionals, and data engineers responsible for developing, maintaining, and governing enterprise analytics, reporting, and data solutions across Tableau, Epic Clarity, Databricks, and other approved platforms. This role combines people leadership, technical expertise, and business partnership. The Manager works with commercial, clinical, operational, and technology stakeholders to translate business needs into scalable dashboards, reports, data products, and analytical solutions. The role is also responsible for establishing reporting standards, improving the usability and consistency of the reporting environment, managing demand and priorities, and ensuring the organization can confidently use data to support decision-making. The Manager intentionally grows the engineering capabilities of the team over time, helping reporting and business intelligence developers build the skills and practices needed to deliver increasingly scalable, reusable, automated, and engineering-oriented data and analytics solutions. This role requires consistent onsite presence in Madison, WI up to four days a week. Essential Duties Include, but are not limited to, the following: Lead, coach, and develop a multidisciplinary team of analytics and reporting developers, business intelligence professionals, and data engineers suppo

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Location: Bellevue, WA Engineering Manager, Cost Intelligence We are looking for an experienced Engineering Manager to lead the Cost Intelligence engineering team. In this role, you will own the technical vision and execution for the features and systems that help Snowflake customers understand, monitor, and optimize their Snowflake consumption and spend. You will lead a talented team of engineers building the data products, APIs, and platform services that power cost visibility, usage analytics, budgeting, and cost optimization insights across Snowflake's platform. You'll work closely with Product Management, Design, Data Science, and cross-functional engineering teams to ship world-class cost intelligence capabilities to Snowflake's customer base. As manager for the Cost Intelligence team, you will: Lead and grow our talented team of software engineers, fostering a culture of technical excellence, ownership, and continuous learning. Drive the roadmap for Cost Intelligence features — including cost allocation, resource budgeting, anomaly detection, and optimization recommendations — in partnership with product management. Set technical strategy for backend systems, data pipelines, and APIs that surface cost and usage insights to customers at massive scale. Own delivery end

About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Most businesses have no idea if they're overpaying for their software. They renew on autopilot, negotiate without benchmarks, and discover vendor alternatives only after the contract is already signed. Ramp is uniquely positioned to change that. We see billions of dollars of real-world spend and contract data across thousands of companies, and we're turning it into an intelligence layer that tells businesses exactly what they should be paying, which vendors to consider, and when to act. As PM for Vendor Intelligence & Marketplace, you'll own the product that powers this: our price benchmarking engine, contract analysis (extracting structure and risk from vendor agreements), and the emerging B2B marketplace that connects Ramp's buyer base to the right vendors at the right price. You'll be one of the first PMs building a true buyer-side intelligence layer inside a financial platform, replacing renewal anxiety and negotiation guesswork with data-driven, AI-powered decisions. Please note that this role requires in-person presence at o