Lead Data Analytics Engineer Jobs

We are seeking a highly analytical and technical professional to spearhead the evolution of our trading infrastructure. This hybrid role combines the fast-paced execution of a Trading Operations Specialist, the analytical rigor of a Risk Manager, and the technical capabilities of an AI-focused Developer. The successful candidate will not only manage daily operational workflows and risk monitoring but will also lead the digital transformation of these functions. You will leverage Large Language Models (LLMs), machine learning, and advanced scripting to automate legacy manual processes, improve predictive risk modeling, and build real-time performance visualization tools and analyses. Key Responsibilities: 1. Trading Operations and Performance Analysis with AI Manage the end-to-end lifecycle of trades across multi-asset classes. Develop agentic AI workflows using Python (ML) and MLOps tools to automate manual operations and reconciliations Perform daily P&L attribution and explain variance by decomposing market moves, Greeks, and new activity. Leverage AI/ML frameworks (e.g., OpenAI API, LangChain, or local LLMs) to build intelligent agents for anomaly detection in trade data and automated commentary generation for P&L reports. Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers. Use AI tools to build reporting and analyses on trading performance and perform adhoc business analytics 2. Risk Monitoring & Control Intelligent Risk Management: Develop real-time, AI-driven risk models that use machine learning to predict market volatility and alert the desk to emerging cross-market risks. Develop and maintain sophisticated risk reporting dashboards for the desk. Requirements & Qualifications: Experience: 3+ years i

Level Up Your Career with Zynga! At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take-Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind-bending puzzles, and social word challenges, our diverse game portfolio has something for everyone. Fan-favorites and latest hits include FarmVille™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter: Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you're spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level. Join us and be part of the play! Position Overview: Come join the team at Zynga making an impact across all of the company’s games - Mobile Game Tech! Do you love developing data models and visualizations to help teams make strategic decisions? This analyst role is a key figure in our cost transparency efforts on the FinOps team, delivering critical insights into service costs. This position also provides dashboards, data visualizations, and analyses for areas that make our org effective at serving our internal customers, allowing all teams to make better decisions. What You'll Do: Lead financial analysis activities with regards to internal cost allocations for technology spend Lead data model design and data analysis aspects of the FinOps team’s software development, including close collaboration with other FinOps software engineers Engage wit

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. Micron Technology, Inc. is seeking an Engineering Lead to supervise the Analytical Chemistry Lab within Boise Corporate Labs at our Technology Development and manufacturing site. The lab uses advanced instrumentation and analytical techniques to deliver chemistry and materials analysis for engineering, manufacturing, and Facilities customers. In this role, you will lead the team and set technical direction so the lab runs safely, accurately, on time, and within budget. You will also advance next-generation metrology, automation, data, and AI-enabled solutions. Responsibilities Lead, coach, and develop the lab team. Set clear objectives, manage performance, plan for succession, and build an inclusive, engaged culture. Promote a safety-first culture aligned with the Chemical Hygiene Plan, cleanroom, security, and quality requirements. Staff and run the lab so it delivers accurate, timely results, covering instrument maintenance, method development, data review, and LIMS records. Own metrology strategy, acquisition, and lifecycle planning for analytical technologies that support current and next-generation materials and devices. Drive operational excellence through automation, workflow optimization, cycle-time improvement, and budget management. Lead the integration of AI and agentic workflows to improve productivity, data analysis, and decision support, with strong attention to data quality, security, and human oversight. Serve as the main customer contact for complex analyses. P

Senior Data Scientist [Data] • [Vancouver, BC] We're looking for a Senior Data Scientist to help define Asana's growth strategy as users increasingly discover and adopt software through LLM interfaces like ChatGPT, Claude, and Gemini. With millions of knowledge workers now starting their workday in conversational AI tools, we're at an inflection point in how productivity software reaches users. As part of the AI organization within Asana you'll leverage data to influence how we should build our agentic work management products. Asana's Data Science team helps us fulfill our mission by informing strategy, defining success metrics, and identifying new ways to deliver user value. Data scientists are at the crux of deepening our understanding of the customers and driving more business outcomes by leveraging experimentation, causal inference, statistical and machine learning techniques, and data storytelling. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Work closely with Product Managers, User Researchers (UXR), and Engineers to understand the needs of our agentic work management customers, employing data frameworks and methodologies to understand our user segments and identify levers for driving user engagement Act as the data lead for specific AI features at Asana with product and engineering Use data analysis and data storytelling to identify key product opportunities for the roadmap Design experiments that measure product progress, and own key performance metrics. Collaborate with fellow Data Scientists in the team to research, identify and disseminate b

FEQ327R584 Director, Global Delivery Excellence Databricks Learning & Enablement upskills data and AI teams worldwide so customers, partners, and employees can best leverage Databricks to drive business outcomes. We are hiring a Global Delivery leader to lead our global team and to evolve how we deliver training for an AI-first world. You will own staffing strategy and instructor readiness across our FTE and authorized training partner (ATP) workforce, run an AI-first delivery operation, and advance the shift from traditional, catalog-based instructor-led training toward customized, customer-specific delivery. This role is the right fit if you lead from data, develop best-in-industry instructors, and want to reshape a delivery model rather than just run it. Scope of Impact Owns the global training delivery function across customer, partner, and internal audiences. Owns instructor staffing and readiness strategy: balances FTE and ATP supply and forecasts skilling, language, and location needs through data analysis and cross-functional collaboration. Translates L&E delivery strategy into execution: FTE-first regional sufficiency, with ATP to fulfill additional needs. Leads the evolution of the delivery model toward AI-first operations and customized, customer-specific training. Influences cross-functionally across Training Ops, Curriculum and Certification, and field GTM. Leadership Sets Vision: Connects the team's daily delivery work to L&E's mission and to the shift toward an AI-first operating model. Sets Strategy: Sets 12-month goals, plans, and measures for delivery capacity and quality, and makes FTE-versus-ATP trade-offs grounded in demand data. Builds Teams: Hires, coaches, and develops a high-performing global instructor team, and builds the skilling pathways that keep instructor capability ahead of demand. Drives Execution: Delivers training at quality and at sustainable pace, running proactive, data-driven capacity planning in place of reactive

TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news. Senior CRM Data & AI Developer Position Overview TEGNA is looking for a Senior CRM Data & AI Developer to join the dynamic engineering team. We are looking for a Senior CRM Data & AI Developer to integrate our CRM platform data with our Snowflake data warehouse. You will analyze and map the migration of CRM data into our Snowflake-based customer data platform and put AI solutions, including agent-based workflows, to work inside our CRM and web applications. As we build AI agents that integrate seamlessly with the CRM, you'll also create the user interfaces that bring them to sales users. You will bridge the functional and data gaps between the CRM platform and our AI and data team, turning business needs into clean, well-governed data and working AI features that sales users can rely on every day. What You’ll Do • Bridge CRM and AI. Act as the CRM platform subject-matter expert for the sales AI and data team, explaining data models, entities, and business processes and turning requirements into technical solutions. • Lead the CRM data migration. Analyze, map, and implement the migration of CRM data into a customer data platform, including data analysis, identity resolution, mapping, and data mastering. • Build CRM UI. Build intuitive CRM user interfaces, custom components, and workflow automation that bring data and AI insights to end users. • Integrate AI solutions

Banking hasn't changed much in decades. We're changing that. One product at a time. Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for millions of people across the Nordics. Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm. We move fast, we build with purpose, and we're just getting started. As our new (Senior) Data Scientist you'll join our team based in Aarhus, reporting to Eugene, our Senior Engineering Manager, working to bring data and machine learning into how we prevent fraud, manage risk, and grow the business. What will you do? Design, build, and deploy machine learning and statistical models across fraud detection, transaction monitoring, loan risk assessment, customer risk scoring, and sales and lead generation Build and operate experimentation and evaluation frameworks — using tools like MLflow and Metaflow — with strong test sets and benchmarks across projects Dive into data analysis and feature engineering to keep pushing model performance further Partner closely with data engineers, analysts, and business stakeholders to define requirements and turn insight into decisions Document models, methodologies, and results clearly, and bring the latest ML and GenAI advances into how Lunar builds What are we looking for in you? Experience developing and deploying machine learning models in a production environment Proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) Experience with cloud-based ML platforms such as AWS SageMaker or Kubeflow Solid grounding in machine learning, statistical modeling, and data analysis techniques — experience in financial services or another regulated industry is a plus Strong problem-solving and communication skills, with the ability to translate technical concepts into business in

Systems Engineer (Modeling & Simulation) (Associate or Mid-Level) Company: The Boeing Company Boeing Defense & Security (BDS) is looking for an Associate or Mid-Level Systems Engineer (Modeling & Simulation) (Level 2 or 3) to join our multi-disciplined engineering team in Albuquerque, New Mexico designing and developing advanced concepts on a DOD propriety program . This position will join a multi-disciplined team of engineers and scientists to develop and test advanced concepts for the Department of Defense. Work could include such things as image processing and analysis, radiometry, modeling and simulation, evaluation of field data to anchor models, and wherever the data may lead throughout the program. The ideal candidate will have strong MATLAB or Mathematic skills, an interest in data analysis; modeling and simulation; and some knowledge of optics and electro-optics. Position Responsibilities: Assists in developing and validating requirements for various electro-optical systems and components Uses data analysis results and output of mod/sim tools to assist in the development and validation of requirements for electro-optical systems, mechanical systems, interconnects and structures Works with engineering teams to collect and analyze data used to anchor models Performs complicated trade studies, modeling, simulation and other forms of analysis to predict component, interconnects and system performance and to optimize design around established requirements Defines and conducts critical analyses of various kinds to validate performance of designs to requirements Defines and conducts tests to validate performance of designs to requirements and anchor models to fi

About Stripe Stripe 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 in 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 You will act in a player-coach capacity and will be accountable for supporting associates in delivering against target set goals and mentoring in subject matter expertise. You will manage a small team of TechOps Payments Analysts. Responsibilities Champion metrics-driven analysis to continuously assess and optimize team performance, with a strong focus on automation Leverage automation to streamline data reporting and deliver timely, data-driven insights to management/key stakeholders Utilize data as a core tool for guiding people management strategies and optimizing team productivity Play a key role in weekly business reviews (WBR), using data to lead discussions support decision-making Manage capacity and scheduling, dividing and assigning work between team members. Lead independent discussions with TechOps, Engineering and XFN Partners to unblock complex reconciliation issues. Ensure your team has strong data analysis and Technical skills needed to be successful in their role. Setting clear goals and expectations for individual and team performance. Foster a culture of continuous improvement to refine team processes and procedures. Support recruitment and hiring initiatives. Coach and mentor individuals to meet career via structured career development conversations. Provide continuous performance feedback and facilitate periodic formal performance reviews. Drive and own initiatives that make the

As Head of Product, your mission is to lead the product organization that builds what our users bank with every day, ensuring they get the safe, smart and effortless banking they expect. Why this matters: At bunq, our mission is to Make Life Easy, for our users, our teams, and the world around us. Every team plays a unique role in making this mission a reality. The Product team does this by building and improving the products our users bank with, while keeping them safe and compliant. As Head of Product, you contribute by setting product direction and leading the product leaders who deliver it, helping us grow as the bank of The Free. Take ownership: As Head of Product, you’ll take charge of key responsibilities that directly impact bunq’s growth and our users’ seamless experience: Grow our users’ use of bunq’s products by leading product strategy and delivery for your area. Keep growth and safety moving together, so that fraud, compliance and quality are built into the products rather than bolted on. Build a strong, AI-first product organization by leading Product Owners and Team Leads, and redesigning how the function works around AI agents instead of adding headcount by default. Be bunq’s product voice with the management board, regulators, auditors and partners. You’ve led a technical product organization and can get hands-on when needed. Size of organization isn’t the bar. You have product leadership experience in a regulated financial services setting. You understand payments and fraud, and you have data analysis skills and engineering depth. You have experience working with regulators and across multiple markets. You’re skilled at stakeholder management at management-board level. You have AI fluency at the AI Architect level: you design AI-native systems, not only use AI tools.

About Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This is an analysis and research role inside the core product organization. It works closely with the Lead Analyst and Senior Product Marketer to bring credible market, customer, competitor, and product evidence into the decisions Sapience AI makes. The Junior Data Analyst is the evidence and research engine behind the team’s work. You will gather information, evaluate sources, structure data, maintain research systems, identify patterns, and turn complex material into clear first-draft findings. Your work will support market and category strategy, product decisions, positioning, competitive intelligence, pricing and packaging research, launches, and adoption analysis. This is a junior-level professional role with meaningful responsibility. It is intended for someone with at least three years of relevant experience; it is not an internship or a first professional role. You will be expected to independently own well-scoped assignments, ask thoughtful questions, communicate clearly, work with care, and apply sound judgment when distinguishing a useful signal from incomplete or misleading information. Final strategic accountability remains with the Lead

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 NAND TD RDA LEADER , you will lead a team in the use of next-generation defect detection equipment and processes to identify and solve issues. The goal of this position is to accelerate cycles of learning and technology transfer in Technology Development. We need leaders who are passionate about developing their team, delivering solutions to our internal customers, and driving our supplier's road maps to meet our future inspection needs. This position will provide the opportunity for you to collaborate with process integration, process development, data science, and yield analysis within and outside Technology Development. As a Technology Development RDA Lead, your leadership and innovation will have the ability to impact the team globally. You and your team will be responsible to support experimentation, data analysis, baseline health metrics, and systematic and random defect improvement through partnering with others in Technical Development and Global Manufacturing. Responsibility includes , but not limited to: Encourage a safe work environment Mentor your team in analyzing experimental process flows looking for defect anomalies and quarantining process tools that are out of control Build an environment of continuous improvement process (CIP) demeanor, looking for ways to improve operations, and how to make a difference today Develop inspection technology roadmaps to drive our internal and external partners enabling a clear path to future

What we’re doing isn’t easy, but nothing worth doing ever is. Diligent builds helpful robots that work safely and autonomously in real world environments. We move quickly, solve messy problems, and care deeply about reliability at scale. As a Fleet Engineer, you'll own the reliability and continuous improvement of our deployed robotic fleet — leading hands-on investigations into how and why robots fail in the field, across the mobile base, charging/docking, motion and power, connectivity (modem), and sensor hardware. You'll combine remote data analysis with bench/lab failure analysis at our Austin HQ, turning field-technician reports and fleet data into clear problem statements, validated root causes, and corrective actions driven to closure with engineering, operations, manufacturing, and vendors. We are hiring a Lead Engineer, Issue Management & Triage to lead the systems, tooling, and team at the intersection of our Customers, Remote Operations Center (ROC), and Engineering. This is a highly technical, hands-on role focused on building the infrastructure that powers how we detect, triage, diagnose, and resolve issues across a deployed robotic fleet. You will work deeply with Engineering teams to design classification frameworks, build internal tools, and develop automation pipelines that improve reliability at scale. Location: Austin preferred, Remote possible (U.S.) Travel: if remote up to ~50% travel to Austin, TX (especially in the your first 90 days) What You’ll Do: Own Issue Management & Triage Systems Design and own end-to-end systems for issue intake, triage, and escalation. Define severity frameworks, SLAs, and ensure issues are consistently structured for engineering prioritization. Build Tools & Automation (Hands-On) Develop automation and pipelines to ingest, process, and classify operational data, reducing manual triage effort. Contribute directly to codebases (Python, backend services) and partner with Engineer

About the job Help shape the first moments of life for the next generation of AI processors. You'll lead the bring-up and characterisation of Graphcore's silicon devices and system platforms. Your work will ensure products perform reliably before they reach customers. You'll build and lead a team that develops characterisation plans, automates testing, and analyses results across silicon and system platforms. You'll work closely with architecture, silicon, hardware, operations and product teams to solve complex technical challenges. This is a hands-on technical leadership role with the opportunity to influence product design, shape new capabilities, and build a team from the ground up. The team and culture You'll join a newly formed team within Manufacturing Operations and help define how bring-up and characterisation is delivered at Graphcore. Your decisions will shape the team's direction as it grows. The team works closely with colleagues across Bristol, Cambridge and Taiwan. Success comes from solving problems together, sharing data, and making informed engineering decisions. You'll be trusted to take ownership, remove blockers, and improve how work is done. We value people who speak up, challenge assumptions, and turn ideas into practical solutions. What we're looking for Essential Proven track record of delivering technical outcomes as an individual contributor, manager, or project manager, with strong communication and stakeholder management skills. Solid experience in silicon digital device design, bring-up, and characterisation, with a good understanding of silicon process technology and its impact on transistor- and system-level performance. Strong knowledge of high-performance processors, system-on-chip (SoC) architectures, and high-speed digital interfaces such as PCIe, Ethernet, and DDR. Experience with measurement automation, data analysis, and developing code or scripts to support automated testing and analysis workflows. Bachelor's degree (or e

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Data Center Engineer , you'll help us scale our Core/Edge Data Centers and hardware infrastructure at a time of incredible growth for our business. At Roblox, you'll have boundless opportunities to shape the future of the Imagination Platform™ and demonstrate your passion for delivering thoughtful solutions in front of a global audience. If you know what it takes to build and operate hardware infrastructure that can sustain millions of concurrent players year-round and you take play as seriously as we do, you'll fit right into our highly experienced and ever-expanding engineering team. You will report to the Technical Lead Data Center Engineer. You will: Develop and maintain the Core/Edge Data Center and hardware infrastructure to meet the large scale and real-time requirements of our Imagination Platform™ to ensure our community has an awesome experience anywhere in the world. This includes all aspects of the server, network infrastructure, power, and environmental life cycles. Own efforts to track and mitigate systemic issues preventing hosts from returning to service. Identify and solve critical problems and prevent them from re-occurring via root cause analysis and giving rec