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Analytical Quality Assurance Director Jobs

6,254 active opportunities · Updated for October 2026

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Explore current analytical quality assurance director jobs. Use filters to narrow by work mode, employment type, experience and date posted.

SR
17 days ago

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. What You Will Do and Learn As a Snowflake Architect in Data Solutions, you'll lead pre-sales, estimation, scoping, design, and delivery of modern analytics solutions on Snowflake. You'll act as a hands-on architect and delivery lead on your own projects, while also providing technical guidance and people leadership to team members deployed across multiple client engagements. Architecture & Delivery Own end-to-end Snowflake solution architecture: data modelling, warehouse sizing and cost optimization, RBAC/security design, data sharing, and performance tuning Lead the data engineering lifecycle - research, POCs, architecture, design, development, testing, deployment, and maintenance Design and build POCs for modern analytics stacks across cloud-based business systems for prospective clients Translate client business needs into technical solution designs and actionable recommendations for platform, structural, or logic issues Manage day-to-day technical relationship with client stakeholders on active engagements Pre-Sales Lead technical workstreams in pre-sales: estimation, scoping, solution proposals, and orals/proposal defense sessions Partner with other practices on cross-functional solution plays and pre-sales activity Support sales cycles by leading solution presentations and building

sqlPower BIwarehouse
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E
Elastic
📍 United States• $160.3K – $253.6K/yr
21 days ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Director, Marketing Analytics to translate our marketing intelligence strategy into operational excellence and commercial impact. You will lead a multidisciplinary analytics team across data engineering, analytics engineering, visualization, and data science workflows. Sitting at the intersection of marketing strategy, revenue operations, and data engineering, you will serve as a trusted partner to Sales, RevOps, Finance, Product-Led Growth (PLG), and Enterprise Data. You will build our marketing intelligence system. This will focus on three key areas. First, you will optimize how we allocate capital. You will use solid ROI and incrementality frameworks for this. Second, you will identify growth insights by finding predictive buyer and expansion signals. Finally, you will promote data clarity. This involves ensuring we have a well-governed, transparent single source of truth. Grounded in open, explainable attribution models, you will streamline organization-wide decision-making and help fuel long-term growth across the entire customer lifecycle. What You Will Be Doing Capital Allocation & Attribution: Operationalize open, explainable multi-touch attribution (MTA) and ROI frameworks that measure full-funnel contribution and ensure global budgets are allocated efficiently . Customer Journeys & Predictiv

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Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. What You Will Do and Learn As a Senior Associate in data Solutions, you’ll be responsible for pre-sales, estimation, scoping, designing, implementing, and testing proposed modern analytic solutions. Working closely with our client partners, you’ll develop relationships with key technical resources while delivering tangible business outcomes. Ideal candidates will be able to: Ability to manage projects and teams against planned work. Responsible for managing the day-to-day client relationship on projects. Manage the Data Engineering lifecycle including research, proof of concepts, architecture, design, development, testing, deployment, and maintenance. Collaborate with team members to design and implement technology that aligns with client business objectives. Build proof of concepts for a modern analytics stack supporting a variety of cloud-based business systems for potential clients. Team management experience and ability to manage, mentor, and develop talent of assigned junior resources. Create actionable recommendations based on identified platform, structural and/or logic problems. Communicate and demonstrate a clear understanding of client business needs, goals, and objectives. Collaborate with other architects on solution designs and recommendations. Assess client data environments and recommend scalable analytics and data engineering solutions. Des

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A
Anthropic
📍 Ca New York City• $255K – $320K/yr
26 days ago

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Marketing Analytics Lead at Anthropic, you will own how we measure marketing. You'll build and run a single measurement framework that shows how marketing activity turns into pipeline, revenue, and product usage, and you'll make that framework something marketers and executives actually use to make decisions. As our marketing programs grow across enterprise and product-led motions, your work will determine whether we invest in what works. In this role, you'll own the marketing measurement framework end to end: the metric definitions, the data models behind them, the dashboards that surface them, and the insights they produce. This is a hands-on individual contributor role; data science and data engineering will support you, but you'll do the core work yourself. You'll partner closely with field marketing, partner marketing, campaign marketing, finance, sales strategy, sales development, data science, and data engineering to align on definitions and keep the whole organization working from one view of the funnel. Key responsibilities Own the marketing measurement framework that connects marketing activity to pipeline, revenue, and product usage Set the direction for the framework and extend it to programs it doesn't cover yet Define marketing metrics clearly and get cross-functional teams to agree on definitions early Build and maintain the data models that power marketing reporting Develop dashboards that marketers and executives rely on in their weekly reviews Teach marketers and executives how the metrics work, and keep teaching as the metrics evolve Lead adoption of the framework so that both marketing and execu

sqlaisalesforce
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TN
The New York Times
📍 United States• Remote• $140K – $160K/yr
27 days ago

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role NYT Wirecutter is looking for a Senior Manager, Revenue Analytics to power our business strategy. Your core mandate is to increase audience monetization across our primary businesses—Affiliate, Advertising, and E-commerce—ensuring we preserve long-term audience trust. As a player-coach role, you will lead a team of analysts and partner closely with Revenue, Product, and Marketing leads to establish KPIs, run conversion experiments, and build attribution frameworks that scale revenue. You will report to the Executive Director, Data Analytics. Responsibilities You will lead, mentor, and onboard a team of two direct reports, nurturing their career growth You will analyze affiliate revenue drivers (e.g., merchant commissions, EPC, conversion rates, and partner yield) across all content touch points. You will be the analytics lead for the newly launched Wirecutter Store, reporting on unit economics, merchandise performance, cart funnel analytics, order value (AOV), and customer acquisition/repeat purchase metrics You will partner with Ad Ops and Advertising teams to track ad yield (RPM, eCPM), fill rates, and ad unit viewability, balancing display and custom content revenue against user experience and page speed You will evaluate trade-offs between affiliate links, ad placements, and Wirecutter Store product placements on site, creating a holistic monetization framework to maximize total revenue per user. You will lead recurring co

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B
Block
📍 Washington D.C, United States• $163.6K – $245.4K/yr
27 days ago

Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us. The Role The AI & DX (Developer Experience) Analytics team exists to measure and improve Block's developer experience and investment in AI. We turn raw engineering signals (agent session data, pull request and CI activity, and AI spend) into reporting and analysis that shape leadership's AI investment decisions, and drive improvement in AI ROI and developer experience. Your work will be the trusted source of truth that engineers and executives use to decide where AI investment is working and where to redirect it. We're hiring a Senior Analytics Engineer to own parts of that pipeline end to end. This is a broad, high-visibility role with a lot of white space: you will instrument new telemetry at the source and build production pipelines that turn it into governed data, then turn that governed data into executive-facing reporting and the analysis that surfaces concrete opportunities to improve AI ROI and developer experience. You'll also help pioneer one of the most consequential open problems in the industry right now: measuring the productivity impact of an increasingly AI- and agent-augmented engineering workforce, where there is no textbook answer and real room to set the standard. You'll define new metrics and craft the visual narrative — the charts, dashboards, and presentation materials — that make them land with a

typescriptpythonreact
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W
27 days ago

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: The WPP DTS Business Intelligence team is looking for an exceptional Senior Analytics Manager to lead two of the four working pillars within our 14-person (and growing) global BI function: Product & Engineering Intelligence and Sentiment & Value Intelligence . In this role, you will be the vital bridge connecting day-to-day tactical analytics with the broader WPP DTS Business Intelligence vision . You will partner directly with product leadership, engineering, UI/UX research, client, and market enablement teams to establish trusted telemetry, evaluate feature adoption, and measure the business value of our digital products. You will have line management responsibility for 2 analysts (split across the UK and US), serving as a dedicated mentor and technical guide to help them deliver their best work and grow their careers. Working closely with the VP of Business Intelligence, you will establish unified tracking standards, integrate qualitative sentiment with behavioural data, and ensure our reporting delivers the critical ‘so what’ that inspires executive action. This rol

sqlPower BITableau
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F
29 days ago

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: We need a highly innovative Technical Lead! How confident are you that you can build sophisticated analytic systems? If you believe you could contribute to the development of innovative principles and ideas in a matrixed environment, please keep reading as we are seeking an individual contributor who has experience with Java and Python and can lead and nurture an inspiring environment in our Virginia office. Our Impact: The Investments and Capital Markets (I&CM) division is looking for a capable technology lead for its trading and analytics development team. This could be you! To thrive in this division, you must have a comprehensive understanding of system implementation and design, experience working in capital markets, and be enthusiastic about leading development of new paradigms in software system architecture. Your Impact: As a Trading Analytics Development Tech Lead, you will develop and maintain software using Java and Python tech stack that adheres to software engineering best practices. You will influence technical decisions, mentor developers, resolve engineering blockers, and partner with engineering managers to help teams deliver secure, reliable, and maintainable solutions. You will provide hands-on directions for full-stack applications, APIs, microservices, and integration services while reinforcing engineering discipline across design, development, testing, deployment, observability, and production readiness. Partner closely with Product Owners, engineering managers, architecture, business stakeholders, and cross-functional tec

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S
Snowflake
📍 Menlo Park• Full-time• $292K – $383.3K/yr
1mo ago

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 is about empowering enterprises to achieve their full potential with Data & AI. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. We're hiring for a Senior Director of Analytics Engineering to join our Data, Analytics, and AI organization (DAA), reporting directly to the Chief Data & Analytics Officer. You will lead a team of 20+ Analytics Engineers that build and operate the pipelines behind Snowflake's revenue, bookings, people analytics, and go-to-market reporting within our governed data platform. This role has an in-office requirement — you must be able to work out of our Menlo Park office a minimum of 3 days a week. In This Role You Will Lead and grow the Analytics Engineering organization: Manage through your direct reports (team leads/managers), setting priorities and technical strategy across the team. Drive Snowflake’s internal data transformation: Lead your teams' ongoing work to create an AI ready data foundation, with an emphasis on documentation, contracts, context, and governance. Own Snowflake’s internal analytics agents: Build, improve, and maintain general purpose analytics agents - and underlying context an

aiTableauproject management
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E
Everpure
📍 Santa Clara• $153K – $230K/yr
1mo ago

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure's Product Business Unit makes bets on what to build, price, and bring to market and this role is how those bets get pressure-tested against evidence. You'll sit directly with Product leaders as their analytics partner, taking questions that arrive ambiguous ("why is adoption flattening on this platform?") and returning frameworks, models, and recommendations that change what the team does next. What makes this different from a reporting role is the ownership: you define the problem, do the analysis yourself, and stay with it through implementation. Comfort using AI in your daily work is essential here. This team expects you to reach for LLM tools to move faster, whether that's accelerating an analysis, making sense of unstructured text, or cutting the time recurring work takes. WHAT YOU'LL DO Act as the analytics partner to Product BU leaders, owning the insight generation behind Quarterly Business Reviews and other executive business reviews Take complex, loosely defined business problems end to end — framing and hypothesis through analysis, solution design, executive-ready dashboards, and implementation Build the forecasting models, business models, segmentation, and scenario analyses that inform decisions on product performance, pipeline, bookings, customer adoption, installed base, and product usage Use LLM tools to accelerate your own analysis and extract signal from unstructured text like support ca

sqlaisupply chain
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B
Block
📍 United States of America, United States• $163.6K – $245.4K/yr
1mo ago

Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us. The Role The AI & DX (Developer Experience) Analytics team exists to measure and improve Block's developer experience and investment in AI. We turn raw engineering signals (agent session data, pull request and CI activity, and AI spend) into reporting and analysis that shape leadership's AI investment decisions, and drive improvement in AI ROI and developer experience. Your work will be the trusted source of truth that engineers and executives use to decide where AI investment is working and where to redirect it. We're hiring a Senior Analytics Engineer to own parts of that pipeline end to end. This is a broad, high-visibility role with a lot of white space: you will instrument new telemetry at the source and build production pipelines that turn it into governed data, then turn that governed data into executive-facing reporting and the analysis that surfaces concrete opportunities to improve AI ROI and developer experience. You'll also help pioneer one of the most consequential open problems in the industry right now: measuring the productivity impact of an increasingly AI- and agent-augmented engineering workforce, where there is no textbook answer and real room to set the standard. You'll define new metrics and craft the visual narrative — the charts, dashboards, and presentation materials — that make them land with a

typescriptpythonreact
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E
Eve
📍 United States• Remote• $226K – $265K/yr
1mo ago

About Eve Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong. Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast. Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter. The Role We're hiring a Staff Analytics Engineer to own Eve's go-to-market data model and set the standard the rest of the analytics engineering team works inside. The number of people asking the data a question is growing faster than the business, and the business is doubling. Today the same question can produce different answers depending on who asks and which tool they open. Your job is to make every core GTM metric resolve to one governed definition: pipeline generated, funnel conversion, CAC, win rate, sales cycle length, ARR and bookings, modeled in the warehouse and semantic layer from HubSpot, DealHub, Apollo, and Clay rather than inside those tools. As the Staff engineer, GTM is your domain but not your limit. You'll own

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Baseten
📍 San Francisco• Full-time• Remote• $200K – $240K/yr
1mo ago

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're hiring a Marketing Analytics Manager to establish how Marketing at Baseten makes decisions with data. Marketing at Baseten is scaling fast: more spend, more campaigns, more model launches and more inbound. This is a foundational, hands-on role and the first dedicated Marketing Analytics hire. You'll work directly with Demand Gen, Field Marketing, MOps and Product Marketing alongside GTM, Finance, Product and Engineering to stitch together activities and outcomes across the funnel. You'll build the data models that connect acquisition, engagement, activation, product usage and revenue. You’ll design dashboards, tools, semantic layers and plugins that enable teams to answer questions. Along the way, you’ll develop an understanding of how customers use Baseten and with this, define how our systems and product can improve. RESPONSIBILITIES Define how Marketing success is measured: establish metrics across audience growth, acquisition, activation, engagement, usage, pipeline and revenue. Build the marketing data foundation: ingest and model data across Salesforce, HubSpot, Google Analytics, advertising platforms, web, email, product and third-party sources. Create a medallion architecture that connects the prospect and customer journeys across systems, from first touch through signup, onboarding, activation and expansion. Understand our audiences: develop audience and segmentation frameworks based on customer a

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PG
PlayStation Global
📍 Remote, Canada• Remote• C$141.9K – C$212.9K/yr
1mo ago

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. PlayStation Studios is the game development division of Sony PlayStation, and is responsible for developing some of the most recognisable and ambitious console games and franchises on PlayStation, including The Last of Us, Horizon, Spider-Man, God of War, Helldivers and Gran Turismo. We work with some of the best game studios in the world, and use data to help them make their games even better. We provide end-to-end analytics services for PlayStation Studios and use data to help them in the game development lifecycle. We are looking for talented people to join us in pushing the boundaries of game analytics for PlayStation games. As a Lead Analytics Developer, you’ll work in our cross-disciplinary engineering team to scale our platform, expand its reach, and help define and build the future of analytics for PlayStation games. You should have a passion for video games and a background in data or analytics engineering. You’re looking for a fun, dynamic environment to take on new challenges. In your first six months , you will work on new title launches, and build data models to ensure efficient and consistent queries. To build these data models, you’ll work directly with game studios and data analysts to design and validate suitable in-game telemetry. You’ll al

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