Lead Quality Analyst Jobs

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As an M&A and Accounting Policy Manager on Coinbase's Accounting team, you'll serve as the primary accounting resource across the full M&A and investment transaction lifecycle - from financial due diligence and purchase accounting through post-close integration. Reporting to the Director of Reporting and Technical Accounting Policy, you'll also evolve Coinbase's accounting policies across new and emerging business activities, applying deep US GAAP expertise in partnership with Legal, Corporate Development, Tax, and Controllership. What you'll do: Lead financial due diligence on target companies, including quality of earnings analysis, working capital assessments, and identification of accounting exposures and deal-relevant risks Own end-to-end purchase accounting for completed acquisitions under ASC 805, including purchase price allocation, intangible asset recognition, goodwill calculation, and measurement period adjustments Drive the accounting treatment for strategic investments under ASC 321, ASC 323, and ASC 810, including equity method and fair value option elections Shape and evolve Coinbase's accounting policies through technical accounting memos on new and emerging products, bringing each analysis to closure in partnership with external auditors Deliver original footnote disclosures, MD&A, and transaction-related disclosures for 10-Q and 10-K fil

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. Snowflake Horizon Catalog is the context and governance layer of the Snowflake AI Data Cloud. AI is fundamentally transforming how enterprises monitor and trust their data: instead of manually configuring thresholds and triaging failures, AI-powered anomaly detection fires on freshness and volume deviations automatically, agentic root cause analysis traces quality failures back to their upstream source in minutes, and intelligent lineage surfaces the blast radius of any schema change before it reaches a dashboard. Snowflake's native Data Observability capabilities — Data Metric Functions, graphical column-level lineage, anomaly detection, and AI-powered root cause analysis — are the foundation of this next-generation trust layer. We are seeking a Senior Product Manager to own the Data Observability product area, spanning Data Quality, End-to-end Lineage, and Root Cause Analysis. You will define the strategy for how Snowflake competes and wins against best-in-class observability platforms, drive the AI-first transformation of how enterprises detect and resolve data quality failures, and lead a high-performing cross-functional team to deliver capabilities that make enterprise data pipelines self-healing and self-explaining at scale. AS A SENIOR PRODUCT MANAGER – DATA OBSERVAB

Lead Data Analytics Consultant – Principal Consultant Location : London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Champion innovation. Grow capabilities. Deliver real-world outcomes. The Role As a Data Analytics Principal Consultant, you'll take a central role in supporting the continued growth of Capco's UK Data Practice. You'll lead complex data and analytics programmes across the Financial Services sector while mentoring talent, guiding clients and driving innovation across Cloud, AI and Machine Learning. You'll champion AI-enabled ways of working, helping clients and teams adopt modern approaches that improve productivity, accelerate insight and deliver measurable business outcomes, while ensuring responsible AI practices and appropriate human oversight. What You'll Do Lead the delivery of complex data transformation and analytics programmes across leading Financial Services organisations, helping clients unlock value through modern data and AI capabilities. Provide leadership and mentoring to data consultants, fostering technical excellence, continuous learning and the effective adoption of AI-enabled tools and modern delivery practices. Build trusted client relationships, shape data and AI propositions, and contribute to business development activities by identifying opportunities to deliver measurable business value. Engage with technical and non-technical stakeholders to promote data literacy, AI adoption and data-driven decision-making, translating complex concepts into clear business outcomes. Represent Capco's Data Practice externally through industry engagement, partnerships and thought leadership, contributing to the evolution of Capco's data and AI offerings. What We're Looking For Minimum five years' experience in consulting or a senior leadership role delivering complex data and analytics initiatives within Financial Services. Strong expertise across data and analytics dis ciplines, including data quality, governance, business

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 Director, Lead Director - Data Scientist - Forecasting Accuracy and Analytical insights for Underwriting , ensures the accuracy, reliability, and financial integrity of analytics-driven products across the underwriting ecosystem. This leader sets the strategy for reducing financial leakage, goal-seeking underwriting scenario optimization, forecasted P&L accuracy, underwriting risk-management, insights and recommendations for underwriting/sales decision making, and anomaly detection in live underwriting deals. They ensure that underwriters and sales partners are supported by technology with various financial tools, data, and insights. This role combines the analytical rigor of a Data Scientist with the leadership capabilities of a financial product development leader. The position leads a team of 10+ data scientists responsible for supporting underwriting analytical needs, P&L forecasting accuracy, analytical insights and validation, reporting solutions, business impact, and financial result verification. Key Responsibilities: Product‑Embedded Leadership for Data Science & Advanced Analytics Lead the data science and analytics strategy for underwriting transformation software products, from problem framing through production deployment. Design and operationalize predictive, and scenario‑based analytical cap

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 Product Analytics team at Aetna, a CVS Health company, engages with a number of functional teams across CVS businesses to serve our members with better insurance products and to support our Sales teams in selling the right product to the right customer. Lead Decision Scientists play an instrumental role in building cross-functional coalitions, defining product roadmaps that drive forward the most impact and engage with our Data Science team to deliver the appropriate business solutions. Lead Decision Scientists structure ambiguous business problems into analytics frameworks, translate data insights into recommendations for business decisions, guide the evaluation of the business impact for those decisions and prioritize possible actions based on value, feasibility and risk. To be successful in the role, Lead Decision Scientists need to excel in stakeholder management, consult with multiple business functions, recommend data-driven decisions to grow the business impact and ultimately deliver the solutions built by our Data Science team into the hands of our stakeholders. The ideal candidate will: Apply experience from strategy consulting, and analytics to successfully act as the product owner for multiple analytics initiatives. Demonstrate strong ability to communicate both technical concepts and implications to bu

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. The vision of the Safety & Customer Care (SCC) team is to foster long-term loyalty to Lyft with every support interaction. If we are successful, a Lyft customer will rarely interact with Lyft Support. But when that interaction occurs, their issue is resolved quickly, effectively, and with true care. For a Lyft customer, their experience of Support should be that “Lyft cares about me and made the experience easy.” As an Analytics Lead, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving our customers’ support experience. You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. The ideal candidate is a critical thinker and exceptional problem solver who can build strong relationships with different teams, and who is eager to serve as a leader within the broader Support organization to drive our business forward. Responsibilities Own the analytical integrity of safety data at Lyft. Set the definitions, inclusion criteria, and reconciliation logic behind every stated figure. Serve as the primary data liaison to external data auditors, ensuring clarity, consistency, and quality of safety data used in external reporting. Maintain documentation standards that ensure continuity across reporting cycles and compliance with reporting requirements. Run the publication cycle end to end: definitions freeze, data lock, QA, leadership review, sign-off. Catch definitional drift before it reaches a published number. Serve as the analytics counterpart to Business, Legal, Policy, and Communications on Safety data. Move safety reporting from volume counts to diagnosis: which categories are growing, where reported incidence diverges from ac

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. The vision of the Safety & Customer Care (SCC) team is to foster long-term loyalty to Lyft with every support interaction. If we are successful, a Lyft customer will rarely interact with Lyft Support. But when that interaction occurs, their issue is resolved quickly, effectively, and with true care. For a Lyft customer, their experience of Support should be that “Lyft cares about me and made the experience easy.” As a Data Analytics Lead, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving our customers’ support experience. You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. The ideal candidate is a critical thinker and exceptional problem solver who can build strong relationships with different teams, and who is eager to serve as a leader within the broader Support organization to drive our business forward. Responsibilities Partner with Product, Engineering, Data Science & Analytics, Business Operations and other cross-functional stakeholders to achieve business goals Develop frameworks and scalable processes to drive decision-making and prioritization Define the metrics used to measure the success of strategic initiatives and health of our support platform; build dashboards to track metrics over time Design A/B tests and execute analyses to evaluate the impact of new product features and operational improvements Work closely with cross-functional partners to deliver data-driven insights and actionable recommendations for continuously improving the customer support experience Monitor and diagnose KPI performance and present findings to senior leadership Experience Degree in a quantitative field like statisti

Zoox is seeking a high-agency, hands-on Lead Analytics Engineer to bridge the gap between our complex enterprise data sources and our AI-driven decision-making systems. You will lead the design and implementation of our semantic layer and data modeling strategy, ensuring that data from SAP (S/4HANA, Ariba, BRIM, ME), Workday, Salesforce, and Anaplan is transformed into clean, performant, and "AI-ready" datasets. This is a critical leadership role for a builder who wants to own the data foundation that powers our intelligent agents and business-wide analytical workflows. In this role, you will: Design and maintain a unified semantic model that provides a "single source of truth" for cross-functional stakeholders, AI Agents, Self Serve Analytics and Executive dashboards. Collaborate with Data & AI Engineers to structure and optimize the data that allows to query enterprise knowledge with high accuracy and low latency. Establish organizational standards for data modeling, version control, testing, and documentation to ensure high data quality and system maintainability. Implement automated testing and observability frameworks that proactively identify data anomalies and "self-heal" pipelines, ensuring our data is always reliable for downstream consumption. Partner with cross-functional business leaders to translate complex operational requirements into high-impact, scalable data solutions. Qualifications: 10+ years in Data Engineering & Analytics, with extensive hands-on experience building a semantic framework using Python, SQL and modern orchestration frameworks (e.g. Airflow, Lakeflow, Argo). With at least 2+ years of hands-on experience deploying AI generated code. Extensive experience using modern data stacks (e.g. Snowflake/Databricks, Big Query) to build complex, enterprise-grade data models. Deep understanding of data structures within large-scale enterprise platf

As a Vice President within this global team, you will own key analytical workstreams, drive strategic client-level initiatives, and execute optimization agendas. Your primary responsibilities will include: Client Analytics & Optimization: Develop client-level analytics to identify and pursue opportunities for optimization. Stakeholder Management: Lead the agenda with Client Treasurer and Client Analytics teams regarding allocation methodologies and strategy. Technology Implementation: Manage the end-to-end tech implementation of new analytics, metrics, and reporting tools. Project Management: Oversee the lifecycle of analytical projects, from data acquisition to final delivery and follow-up. Data Acquisition and Analysis: Perform deep data acquisition and analysis to generate actionable insights and support strategic initiatives. Data Quality Management: Lead the escalation and follow-up process for data quality issues to ensure the integrity of underlying data. Metric Development: Design, develop, and implement new metrics to track performance and drive business outcomes. Ad-hoc Pricing: Provide analytical support and ad-hoc pricing for global clients to ensure optimal returns. System Ownership: Act as the module owner of GSIB, and Client Financials modules in our LMS data-mart (Clearview), driving their development and effective use. As an integral part of the broader Pricing and Optimization team, you will also contribute to a range of activities spanning subject matter expertise on client liquidity value, client pricing, client financials, and Services data architecture. Also, some activities related to product development, which include technical coordination, control execution, and performance monitoring, alongside ad-hoc tasks like issue management, UAT testing, and stakeholder coordinat

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. Requisition Job Description CVS Caremark has an opportunity for a dynamic individual to join our strategy and analytics team as a Director Business Analytics. In this role you will work closely with internal and external partners to support our rebate and margin optimization strategies that are integral to reducing costs for our participant clients. To be successful, you will utilize your experience with data analytics, complex problem-solving, and strategy development in an agile, fast-paced environment. Your experience synthesizing and presenting results and strategies to multiple audiences, including executive leaders, will also be key to your success. What you will do: Contributes to the development and assessment of key strategic initiatives and opportunities by utilizing project management tools, complex data analyses, and stakeholder feedback. Acts independently to identify and evaluate new business opportunities to generate additional customer savings and margin opportunities. Works with internal teams and external partners to assess and document stakeholder needs and build solutions to meet those needs. Analyzes and synthesizes complex data into simplified and actionable summaries and communicates and presents to senior leaders. Extract data, develop analytic and financial models, and ongoing monitoring on results of various strategic

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: You'll be Recruiting's dedicated people analytics partner — owning the data, shaping the strategy, and in the room where decisions get made. The core of the role is building trusted recruiting analytics infrastructure (funnel + stage conversion, pipeline aging, time-to-fill, offer acceptance, sourcing channel quality, and recruiter capacity) and making it self-serve for recruiters and leaders. You’ll own the stack end-to-end — from raw data in Ashby and Snowflake to clear insights that hold up in a pipeline review. You're the person who turns workforce signals into recruiting strategy — bringing a point of view. This role may be based in either our San Francisco or New York City offices. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: Own recruiting analytics end-to-end: Build and maintain the dashboards and reporting infrastructure Recruiting leadership relies on (funnel health, conversion rates by stage, time-to-fill,

Karya’s mission is to leverage the AI revolution to create dignified earning and learning opportunities for low-income communities across the world. In India, our smartphone-based digital work platform has enabled over 120,000 people to build language datasets and evaluate AI models while earning fair wages. With pilots in Kenya and Ethiopia and partnerships with leading AI labs, we are advancing language technologies for underrepresented communities. By combining dignified digital work with frontier AI innovation, Karya hopes to build a new AI economy that is equitable, inclusive, and community driven. This role delivers the end-to-end analytics and measurement function at Karya within the MERL team. The Lead will act as the critical bridge between backend data systems, measurement and research frameworks, and organisational decision-making. This is a builder role under ambiguity. Core Responsibilities 1. Deliver analytics strategy and roadmap Work with R&I (Research & Impact) leadership to iteratively define what Karya should measure across earnings, engagement, productivity, and impact. The two critical areas for automated pipelines will be Worker Impact and Well Being Engagement and Quality by Type of Tasks, Projects and Metrics to Strengthen Re-engagement Build an analytics roadmap aligned with organisational priorities, as per existing reporting mandates Shift from ad-hoc analysis to systematic decision-making 2. Build and own analytics systems Design automated monitoring pipelines (SQL, Metabase, backend integration) Develop reusable data models Ensure outputs are scalable and decision-oriented 3. Bridge SQL and social research thinking Translate research questions into SQL logic and measurable indicators Work on worker measurement, noisy data, and integration of disparate data sources. Ensure outputs are technically robust and methodologically sound 4. Operate under ambiguity Convert vague questions into structured hypotheses and analyses Proa

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. As a Lead Developer Advocate, you will serve as a critical bridge between Snowflake’s product and engineering teams and the global developer community. You will create technical content, reference implementations, demos, and programs that help SQL developers, analytics engineers, data engineers, and data teams succeed with Snowflake. You will also represent the voice of the developer internally, translating friction points and emerging workflow needs into actionable product feedback, enablement priorities, and roadmap input. What You’ll Do Define and drive the advocacy strategy Own and execute the developer advocacy strategy for a key Snowflake domain spanning SQL development, analytics workflows, and the modern data stack. Align advocacy priorities with product goals, adoption opportunities, and measurable business outcomes. Identify the highest-value technical narratives, workflows, and proof points that will accelerate developer adoption and trust. Create technical content and reference implementations Build high-quality technical content including tutorials, quickstarts, blog posts, videos, workshop materials, code samples, and opinionated best-practice guides. Design and maintain production-grade reference implementations and demos that show how to use Snowflake for re

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

At Kailera, we are bold, authentic and committed to our mission of developing therapies that give people the power to transform their lives and elevate their overall health. Rooted in an entrepreneurial spirit and a team-oriented culture, we are working together to advance Kailera’s mission to advance novel therapies for obesity and related conditions. We are passionate about creating an inclusive workplace that promotes collaboration, integrity, and excellence. As we expand, we seek the most talented individuals with diverse backgrounds, cultures, perspectives, and experiences to join our team. What You’ll Do: The Associate Director, Analytical Development and Quality Control will support analytical development and QC operations for clinical development and commercialization of Kailera’s pipeline compounds. The individual will provide technical expertise and will work closely with cross-functional stakeholders to ensure end-to-end drug development and manufacturing activities are executed seamlessly and in alignment with the company’s integrated development plans and program timelines. Responsibilities: Lead analytical development and support QC activities related to the development and commercialization of peptide drug substances.. Develop and maintain current knowledge in analytical methods and product and process control strategies supporting the peptide drug substance. Through our external network, lead the development of analytical methods that support Kailera’s product pipeline, including analytical transfers and troubleshooting in CDMO laboratories. Provide input for developing and implementing analytical development strategies, including managing execution of functional activities in support of clinical development, regulatory filings (IND/NDA/MAA), product approvals, and commercialization. Author relevant CMC sections to enable global regulatory filings. Participate on cross-functional CMC teams for the project(s) assigned to ensure adequate