Analytics Systems Director Jobs

We are seeking an experienced Quantitative Developer to join our Markets Quantitative Analytics team, partnering closely with Quantitative Analysts, Traders, and Technology professionals to build the next generation of pricing, risk, and analytics platforms. This is a hands-on technical role for a highly skilled software engineer with a passion for quantitative finance. You will be responsible for designing and delivering high-performance, scalable solutions that support front office trading businesses across asset classes. The role offers the opportunity to work on complex quantitative challenges, modern engineering practices, and large-scale distributed systems while helping shape the strategic direction of Citi's quantitative technology platform. Successful candidates will combine strong software engineering expertise with an understanding of quantitative methodologies and financial markets, translating sophisticated mathematical models into robust, production-grade solutions. Key Responsibilities Design, develop, and maintain high-performance pricing, risk, and analytics libraries used across Global Markets. Partner with Quantitative Analysts to transform research models and prototypes into scalable, production-quality software. Build and optimize quantitative applications using modern C++ and Python, applying strong software architecture and engineering principles. Own the full software development lifecycle, including requirements gathering, design, implementation, testing, deployment, and ongoing support. Drive engineering excellence through CI/CD adoption, automated testing, code reviews, and software quality best practices. Develop and maintain market data platforms and data pipelines supporting analytics, pricing, and risk workflows. Work with infrastructure teams to leverage distributed computing, cloud technologies, and scalable arc

The Supplier Consulting Analyst III provides analytical support for healthcare supply chain consulting engagements, including customer onboarding, business process optimization, and solution adoption initiatives. This role collaborates with consulting and cross-functional teams to analyze customer and transactional data, identify improvement opportunities, and deliver actionable insights that support business strategies and operational efficiency. Principal Duties and Responsibilities: · Analyze and reconcile customer account data across systems, identifying duplicates, unmatched records, and data quality issues. · Analyze purchasing activity, transaction volumes, and customer connectivity to support onboarding plans and prioritization. · Develop and maintain reports and dashboards measuring customer onboarding, transaction acceptance, adoption, utilization, and exceptions. · Prepare analytical summaries, presentations, and other project deliverables for multiple concurrent engagements. · Collaborate with internal teams to validate data, investigate discrepancies, and resolve reporting issues. · Support data analysis and reconciliation for system implementations, integrations, migrations, and business transitions. · Analyze customer contact and outreach data, including registration progress and communication results. · Communicate analytical findings to internal stakeholders and present results to customers when appropriate. · Standardize reporting templates, document analytical methods, and identify opportunities to improve efficiency. Required Qualifications: · Bachelor’s degree or equivalent work experience · 2–4 years of experience in data analysis, business analytics, reporting, or a related field. · Strong analytical, communication, and presentation skills, with the ability to explain findings to technical and nontechnical audiences. · Excellent attention to detail, organization, problem-solving, and ability to

NVIDIA is the world leader in accelerated computing and artificial intelligence, and has been powering up Deep Learning, AI, accelerated data analytics, autonomous systems and robots around the world. NVIDIA's customers include global tech-titans and span multiple verticals such as Manufacturing, Retail, Automotive, Media and Entertainment, CSP, Healthcare, Telco and others. We are rapidly growing into various industries and verticals. We’re looking for a technical Developer Relations Manager to lead engagement with startups and software partners building AI agents and generative AI applications for the retail and media and entertainment industries. This role is a key member of the NVIDIA team that would manage our technical engagements in Retails and Media and Entertainment industries. In this role you will evangelize NVIDIA’s portfolio of technologies and accelerate its adoption among developers in this space. You should have a strong technical competence and the ability to be a leader who can function effectively and independently in a matrixed environment to groom and guide developers. What you will be doing: Act as the technical point of contact for startups and developers who are building native LLM and multi-modal applications or want to add AI Agents to their existing apps. Help developers leverage NVIDIA’s tools for Gen AI and LLMs—including Triton Inference Server, TensorRT-LLM, NeMo Framework, and CUDA-accelerated pipelines—to optimize model performance and scalability. Build and deliver sample applications, tutorials, and technical content that highlight best practices for building with LLMs and agentic workflows. Partner with solution architects to benchmark improvements and support performance tuning of LLM deployments across NVIDIA platforms. Guide startups throu

Job ID: 111270 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Responsibilities: Responsible for influencing product roadmaps through analytics and financial and business modeling. Develop hypotheses and analytical frameworks for understanding pricing dynamics and market outcomes. Analyze collected data and extract information relevant to problems. Work closely with product leads to build efficient tools, systems, and processes to manage pricing and driver earning at scale. Develop and test quantitative models, support software, and analytical tools. Experience: Education and Experience: Master's degree or foreign equivalent in Operations Research, Analytics, or related field. 3 years of experience in job offered, analytics, or related occupation. Skills: Experience with quantitative analysis, predictive modeling, and machine learning. Experience with programming languages, analytical software, and database applications. Experience with business analytics and authoring data pipelines. Experience with optimization and programming, including C++, R, Python, and algorithms. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, col

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Leverages technology and data to improve healthcare outcomes by designing, implementing, and maintaining health information systems, analyzing healthcare data, and utilizing technology to support clinical workflows and decision-making. Applies expertise in healthcare and information technology to ensure efficient data management, promote data-driven insights, and enhance the delivery of healthcare services. What you will do Assesses the requirements of the department and identifies integration opportunities for new technologies and system processes. Assists the team in the management of the data, reporting, and analytics function to help internal teams draw meaningful conclusions. Coaches the team on how to apply statistical and computational methods to analyze research data. Conducts thorough literature reviews to understand the current state of knowledge data management, information systems, machine learning, and artificial intelligence. Confers with industry partners on ways to apply research findings to real-world settings to advance industry knowledge. Designs a documentation system for the system to outline system specifications, architectural diagrams, and user guides. Determines best approaches to define data models, data integration processes, and data governance policies for the department. Develop

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The vision for the Lakehouse Infra team is to provide reliable, scalable, self-serve and Affirm-optimized offline data access to enable ML, Product, and Financial Engineering success. Our team is responsible for hosting the data infrastructure that serves as a backbone for processing various business critical money and loan movement workloads at Affirm across our batch and analytics ecosystems. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving data lake challenges at scale excites you, come join us! What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by crea

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. The vision for the Lakehouse Infra team is to provide reliable, scalable, self-serve and Affirm-optimized offline data access to enable ML, Product, and Financial Engineering success. Our team is responsible for hosting the data infrastructure that serves as a backbone for processing various business critical money and loan movement workloads at Affirm across our batch and analytics ecosystems. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving data lake challenges at scale excites you, come join us! What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by crea

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore Department Global Procurement, Front-End Materials Procurement Operations Project Title AI-Enabled Procurement Analytics and Process Transformation Project Description The Global Procurement team is an integral contributor to Micron’s growth, advancing total-cost effectiveness and supply-chain resilience through predictive capabilities, risk analysis, sustainability, and supplier diversity. The team invests in skills-based learning and development, creates opportunities for career growth, and fosters an inclusive global culture. The intern will undertake a structured transformation project within Front-End Materials Procurement Operations. The project will provide practical exposure to procurement systems, strategic sourcing, performance analytics, Artificial Intelligence, and robotic process automation. The intern will develop a digital solution that improves procurement visibility, analytical insight, and workflow efficiency. Objective of the Project Develop an AI-Enabled tracking and analytics solution for selected procurement strategies, supplier indicators, or business requirements. Analyze procurement and supply-chain data to identify trends

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. 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. 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. As a Sr. Full Stack AI Engineer at Micron, you will be part of the FE YMS AI Engineering Team, where you will design and deliver next-generation, AI-native solutions. In this role, you will focus on building intelligent, scalable systems that integrate advanced AI capabilities—including yield analytics and improvement solutions, data ETL pipelines, machine learning/LLM applications, and agentic workflow orchestration. You will partner with multi-functional team members to translate complex business challenges into adaptive, high-performance solutions that employ autonomous agents and workflow automation to drive decision-making and productivity. While your primary focus will be within YMS AI Solutions, the applications and solutions you build will be designed for reuse and scale, enabling ent

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. 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. As a Senior Full Stack AI Engineer at Micron, you will be part of the FE YMS AI Engineering Team, where you will design and deliver next-generation, AI-native solutions. In this role, you will focus on building intelligent, scalable systems that integrate advanced AI capabilities, including yield analytics and improvement solutions, data ETL pipelines, machine learning/LLM applications, and agentic workflow orchestration. You will partner with multi-functional team members to translate complex business challenges into adaptive, high-performance solutions that employ autonomous agents and workflow automation to drive decision-making and productivity. While your primary focus will be within YMS AI Solutions, the applications and solutions you build will be designed for reuse and scale, enabling enterprise-wide impact across Micron’s global operations. We require a minimum of 3+ years of software engineering experience involving medium- to high-complexity design and implementation. Having experience in the semiconductor industry is advantageous. Responsibilities Design, develop, test, deploy, and support full-stack applications across front-end UI/UX,

Req ID: CSQ327R200 Location: Tokyo, Japan Senior Scale Solution Engineer At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Senior Scale Solution Engineer, you are a technical anchor for our scaled customer motion, advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production. You independently take on complex engagements and build and improve AI-augmented workflows that enable the whole team to deliver high-quality guidance at scale. The impact you will have: You will ensure customers have an excellent experience by independently owning engagements across their lifecycle. You will be the go-to expert on the Databricks Data + AI Platform, owning technical direction and building reusable AI-augmented workflows. You will work directly with multiple customers concurrently and set the quality bar for the team. What we look for: Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks platform. Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience. 4+ years of experience in a technical role, preferably in the Data, AI, or Cloud field. Deep knowledge of at least one of the following cloud platforms, AWS, Azure, or GCP; familiarity with more than one is a plus. Knowledge of AI-driven development with programming languages like Python or SQL, including building and extending AI-augmented workflows. Understanding of the end-to-end data analytics and data engineering workflow, and their trade-offs. Excellent time management and prioritization skills. Excellent written and verbal communication in Korean and English Nice to have: Databricks Certification Bonus: Experience building

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore Department Global Procurement, Front-End Materials Procurement Operations Project Title AI-Enabled Procurement Analytics and Process Transformation Project Description The Global Procurement team contributes to Micron’s growth by advancing total-cost effectiveness, supply-chain resilience, predictive capabilities, risk analysis, sustainability, and supplier diversity. The team provides a skills-based learning environment in which team members can develop capabilities, explore career pathways, and collaborate across a global organization. The intern will undertake a structured procurement transformation project involving data analytics, Artificial Intelligence, and automation. The project will provide practical exposure to procurement systems, supply-chain data, inventory analysis, workflow improvement, and Agentic AI while contributing to improved visibility and decision-making within Front-End Materials Procurement Operations. Objective of the Project Develop an AI-Enabled tracking and analytics solution for selected procurement and supply-chain activities. Analyze procurement workflows, data, and inventory indicators to identify risks, trends, a

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Singapore Department Global Procurement, Front-End Materials Procurement Operations Project Title AI-Enabled Procurement Analytics and Process Transformation Project Description The Global Procurement team contributes to Micron’s growth by advancing total-cost effectiveness, supply-chain resilience, predictive capabilities, risk analysis, sustainability, and supplier diversity. The team provides a skills-based learning environment in which team members can develop capabilities, explore career pathways, and collaborate across a global organization. The intern will undertake a structured procurement transformation project involving data analytics, Artificial Intelligence, and automation. The project will provide practical exposure to procurement systems, supply-chain data, inventory analysis, workflow improvement, and Agentic AI while contributing to improved visibility and decision-making within Front-End Materials Procurement Operations. Objective of the Project Develop an AI-Enabled tracking and analytics solution for selected procurement and supply-chain activities. Analyze procurement workflows, data, and inventory indicators to identify risks, trends, a

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Lead, Senior Decision Scientist serves as a strategic analytics and ideation leader supporting Payment Integrity Affordability initiatives with a primary focus on Fraud, Waste & Error (FWE) and Special Investigations Unit (SIU) programs. This role provides leadership and guidance to a team of Decision Scientists while driving the development, evaluation, and implementation of innovative opportunities that improve affordability outcomes and strengthen Payment Integrity capabilities. The Lead Decision Scientist is responsible for establishing analytical frameworks, managing ideation pipelines, defining success metrics, and identifying cross-functional opportunities that create enterprise value across Payment Integrity programs. Required Qualifications 7+ years of experience in healthcare analytics, Payment Integrity, Fraud, Waste & Error (FWE), Special Investigations, or related healthcare operations. 5+ years of experience leading analytical projects or providing technical leadership within a healthcare environment. Demonstrated experience working with healthcare claims platforms including ACAS, QNXT, HRP, or comparable systems. Experience using SAS, SQL, Python, R, or other analytical and statistical programming languages. Experience performing advanced data analysis, opportunity identification, trend analy

Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests; Design the next generation of Stripe products to meet the high growth needs of our company and customers; Analyze product requirements, user needs and feedback and translate them into technical specifications and determine the feasibility of design, taking into account cost and time constraints; Review API launches and library shapes for other teams to ensure that backwards and forward compatibility, coherent patterns, and extensibility meet our quality standards; Act as the team’s representative during technical meetings and understand how their systems interact with the broader landscape within the company; Mentor early-career engineers to help them grow and spin up into independent engineers; and Construct core engineering tenets and design principles for their team’s projects. Who you are Minimum requirements Master’s degree or foreign equivalent in Statistics, Data Analytics, Engineering or a related field, plus 5 years of related work experience in data science or quantitative modeling. In the alternative, the employer will accept a Bachelor’s degree or foreign equivalent in Statistics, Data Analytics, Engineering or a related field, plus 7 years of related work experience in data science or quantitative modeling, of which at least 5 years must be post-bach