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Analytical Quality Assurance Director Jobs

6,245 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.

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Ripple
📍 Toronto• C$136K – C$170K/yr
2mo ago

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. The WORK: As our Treasury team grows worldwide, we are hiring a versatile, operational, organized, analytical, and collaborative Treasury Manager. You will handle daily cash and product operations and assist with all global processes. You will help lead efforts to expand the company’s infrastructure and work closely with cross-functional team members and Ripple’s partners every day. WHAT YOU'LL DO: Prepare, assess, and process cash flow transactions (including Payroll, Tax, Bank fees, and Treasury payments). Manage entity funding (approvals/callbacks), capital calls, loans, grants, and intercompany funding/settlement oversight. Support continuous oversight of cash operations, including daily cash handling, bank account reconciliation, and account configurations. Provide internal/external audit support, coordinate FBAR compliance, and manage restricted account/LOC monitoring. Assist in preparing and analyzing cash positions, providing digital asset fundings, and ensuring liquidity for wallet/funding obligations. Complete Stablecoin (RLUSD) Treasury operations, OTC trading support, RPD and Treasury operations. Manage AP and Corporate payments using crypto assets. Own global account and exchange management, including opening/closing accounts, KYC, signatory updates, FBAR reporting, User Access Management, and other account management activities. Manage bank fee and

aiExcelaccounting
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About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About Role:- The Campaign Operations Lead will own campaign delivery, performance optimization, and team excellence for managed service advertisers. This role demands high aptitude, strong analytical depth, and hands-on AdTech expertise, with the ability to connect platform mechanics, measurement, and business outcomes. You will lead a team that operates at the intersection of AdTech systems, data analysis, and advertiser execution. Key Responsibilities:- Team Leadership & Analytical Excellence ● Lead, mentor, and develop a team of Campaign Operations Specialists/Managers, setting a high bar for analytical rigor and AdTech understanding. ● Drive structured thinking, hypothesis-driven optimizations, and data-backed decision making. ● Upskill the team on platforms, measurement frameworks, and ecosystem best practices. Campaign Delivery & Performance Ownership ● Own end-to-end delivery across Paytm Ads inventory (Search, Display, Native, Post-Transaction, Video) and the Programmatic ecosystem ● Ensure zero-defect launches, accurate targeting, bidding, tracking, pacing, and reporting. ● Act as final escalation owner for complex delivery, measurement, or performance issues. Advanced Optimization & Insights ● Conduct deep-dive analysis on performance drivers across inventory, creatives, bids, audiences, and funnels. ● Apply advanced optimization frameworks to improve CTR, CVR, CPA, and ROAS. ● Translate learnings into repeatable playbooks and SOPs. AdTech, Measurement & Platform Collaboration ● Partner closely with Product and Tech teams to debug and improve auction mechanics, pacing logic, attr

sqlExcel
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PE
2mo ago

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Role Overview:- The Campaign Operations Lead will own campaign delivery, performance optimization, and team excellence for managed service advertisers. This role demands high aptitude, strong analytical depth, and hands-on AdTech expertise, with the ability to connect platform mechanics, measurement, and business outcomes. You will lead a team that operates at the intersection of AdTech systems, data analysis, and advertiser execution. Key Responsibilities:- Team Leadership & Analytical Excellence ● Lead, mentor, and develop a team of Campaign Operations Specialists/Managers, setting a high bar for analytical rigor and AdTech understanding. ● Drive structured thinking, hypothesis-driven optimizations, and data-backed decision making. ● Upskill the team on platforms, measurement frameworks, and ecosystem best practices. Campaign Delivery & Performance Ownership ● Own end-to-end delivery across Paytm Ads inventory (Search, Display, Native, Post-Transaction, Video) and the Programmatic ecosystem ● Ensure zero-defect launches, accurate targeting, bidding, tracking, pacing, and reporting. ● Act as final escalation owner for complex delivery, measurement, or performance issues. Advanced Optimization & Insights ● Conduct deep-dive analysis on performance drivers across inventory, creatives, bids, audiences, and funnels. ● Apply advanced optimization frameworks to improve CTR, CVR, CPA, and ROAS. ● Translate learnings into repeatable playbooks and SOPs. AdTech, Measurement & Platform Collaboration ● Partner closely with Product and Tech teams to debug and improve auction mechanics, pacing logic, a

sqlgitai
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L
2mo ago

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 Data Platform Engineer you'll join the Squad Matrix team based in Copenhagen, reporting to Jesper, working to build Lunar's self-service analytical data platform, Hubble. What will you do? Build product-grade Flink streaming ingestion pipelines, working with cutting-edge streamhouse technologies (Paimon, Iceberg, Fluss, StarRocks) to move data in real time. Own end-to-end projects that add new capabilities or fix issues across our data stack, from ingestion through to the warehouse. Ensure consistent, reliable daily operations of our data warehouse — the foundation other teams build on every day. Provision cloud infrastructure with Terraform and run services in Kubernetes, keeping the platform deployable and dependable. Support stakeholders across the business with data requests, and use agentic workflows to scale your impact. What are we looking for in you? Experience in data engineering, with a track record of owning platform-level systems, not just pipelines. Experience with stream data processing using Flink, Spark, or similar. Experience with cloud infrastructure (AWS, GCP, or similar), and comfort making architectural trade-offs. Programming experience in one or more of Golang, Scala, or Python, plus solid SQL. Ability to work closely with non-engineering stakeholders, translating platform capabilities into something analysts can actually use. Benefits and perks 4 days in the office. We're a team that builds together, thinks together, and moves toget

pythonsqlaws
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Lyft
📍 Toronto• Full-time• From C$108K/yr
2mo ago

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. As a Data Scientist in the Pay, Integrity & Identity org, you will collaborate with our world class team of engineers, product managers, analysts and other data scientists to help create best in class pay platforms, stop fraudulent actors from harming our riders & drivers fraud and build user trust on the Lyft platform. You will run experiments (A/B tests) and develop data driven solutions to launch new features and remove the bad actors from the Lyft platform while maintaining a positive experience for genuine users. We’re looking for an intellectually curious individual who has extraordinary attention to detail, a track record of analytical problem-solving and skilled communication. Prior experience in the fintech, fraud or identity space is preferred. Responsibilities: Design and analyze experiments in collaboration with other scientists, product & engineering; communicate findings to stakeholders and facilitate launch decisions Leverage advanced statistical techniques to generate quantitative insights and develop machine learning models Analyze the wide variety of signals available to identify patterns in large datasets and uncover root causes Partner with product managers, engineers, and operators to translate analytical insights into decisions and action Build data pipelines and develop analytical frameworks to monitor business and product performance Set business metrics that measure the health of our products, as well as passenger and driver experience Collaborate with product and engineering and communicate findings to stakeholders in a clear and concise manner Experience: Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience 4-6+ years of industry experi

pythonsqlmachine learning
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SA
2mo ago

Chief of Staff, Public Sector As the Chief of Staff for Scale AI’s Public Sector business unit, you will be a strategic partner to the VP, Public Sector Engineering & Security, driving the execution of critical initiatives and optimizing the operational rhythm of the business. Your role will encompass strategic planning, cross-functional initiatives management, executive reporting, special project execution, and the synthesis of complex information to support Public Sector objectives and growth. We are seeking a hard charging, initiative-driven generalist that is obsessed with impact, deeply analytical, low ego, and ready to embrace the intensity required to achieve the goals of our growing Public Sector business. You will: Act as an extension of the VP, Public Sector Engineering & Security by attending key meetings and calls on the VP’s behalf, supporting client development, external presentations, internal problem solving, and special projects Run strategic planning for the business unit to include scoping business priorities, driving alignment among the VP, Public Sector Engineering + senior leadership (VPs of Engineering, Sales, and Operations), and leading initiatives that move the needle on key performance indicators (KPIs) Own operational rhythms for the business unit (leadership meetings, all hands, offsite events), executive deliverables, and special projects Own all executive-level reporting that communicates progress and blockers for the business unit and act as the primary liaison to central functions such as finance, communications, marketing, and legal Report to the VP, Engineering & Security of Scale’s Public Sector business unit Ideally you’d have: A strong orientation towards outcomes and a history of being scrappy when it counts An effective interpersonal style that you bring to bear in everything from deep technical conversations with engineers to polished executive level comms Proven ability to build high trus

pythonsqlmachine learning
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Eulerity
📍 New York• $18 – $20/hr
2mo ago

Location: In-Person (New York, NY) Compensation: $18.00 – $20.00 / hour Commitment: 30-40 hours/week, with a transition to part-time during the academic year. Position Overview At Eulerity, we are building the future of AI-driven marketing automation. To scale our technology, we need to scale our team with top-tier talent. We are looking for a highly analytical, deeply curious intern with a true builder mentality to join us in our New York office. This is not a traditional internship. This role is designed as a training ground for future Product Managers. You will treat our recruiting pipeline and internal operations like a product—analyzing the data, identifying bottlenecks, testing solutions, and optimizing the "user" (candidate) experience. You will work closely with leadership to recruit the best talent while learning how to build, ship, and scale processes from the ground up. What You Will Build & Manage 1. Talent Sourcing & Recruiting Pipeline Hunt for Talent: Proactively source passive candidates across technical and business roles using LinkedIn Recruiter and alternative networks. Manage the "User Journey": Treat the candidate experience like a product flow. Coordinate interviews, manage our Applicant Tracking System (ATS), and ensure every touchpoint is seamless and reflects Eulerity's brand. 2. Analytics & Process Optimization Funnel Analysis: Track key recruiting metrics (time-to-hire, drop-off rates, source effectiveness) to figure out where our hiring process is succeeding or failing. Data-Driven Solutions: Build dashboards and reports to present to leadership, using data to advocate for changes in how we evaluate, interview, and close candidates. Market Intelligence: Conduct competitive research on compensation, benefits, and market trends to ensure our offers remain highly competitive. Who You Are The Builder Mentality: You do not wait to be told what to do. You see broken processes and immediately want to design a system to fix the

aiExcellogistics
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Mindbody
📍 United States• Full-time
2mo ago

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. Who you are We have an exciting opportunity for an experienced, analytical, strategic marketing professional to lead the growth marketing team at Mindbody. You will be responsible for both paid and organic demand generation, website CRO, SEO, lifecycle marketing, and product marketing, working closely with the executive team and leaders across sales, customer support, pricing, product, and engineering. This role will report directly to the CMO and will be responsible for driving breakthrough customer growth strategies using marketing best practices, tools, and technologies. The role you'll play Own all paid and organic customer acquisition channels, providing daily, weekly and monthly reporting to the executive team, including key marketing performance, pacing updates, and test results Manage our multi-million-dollar media budget and annual growth targets – including owning forecasting, channel allocations, and changes in spend strategy Assist sales teams in driving conversions Perform continuous iteration, experimentation, and improvement on SEO and website CRO Manage and mentor a high performing team of growth marketing professionals Drive internal enableme

Buyer – Admin Real Estate & HR Procurement: Role Overview: The Buyer – Admin, Real Estate & HR Procurement will be responsible for managing end-to-end sourcing and procurement activities across Administration, Facility Management, Lease Rentals, and HR-related categories. The role includes vendor sourcing and management, commercial negotiations, contract and lease administration, PR-to-PO processing, spend analysis, and ensuring the timely procurement of goods and services in compliance with company procurement policies. The ideal candidate should possess strong negotiation, analytical, stakeholder management, and coordination skills, along with a service-oriented approach and a keen eye for detail. Key Responsibilities: Administration Procurement: - Manage procurement of office supplies, stationery, pantry items, and other administrative requirements. - Coordinate procurement for facility management services, including housekeeping, security, pest control, and maintenance services. - Source and procure office infrastructure such as furniture, workstations, printers, and related equipment. - Track and manage Annual Maintenance Contracts (AMCs), ensuring timely renewals. - Support procurement requirements for corporate events, employee engagement initiatives, and office activities. - Coordinate travel and accommodation bookings in line with company policies. - Ensure timely conversion of Purchase Requisitions (PRs) into Purchase Orders (POs). - Maintain an updated vendor database and monitor vendor performance. - Conduct cost comparisons and negotiate commercial terms within the approved authority limits. Lease Rental Management: - Manage procurement support for office spaces, branches, warehouses, fleet hubs, and other leased facilities. - Collaborate with Business, Administration, Finance, and Legal teams for new lease acquisitions, renewals, amendments, and lease closures. - Participate in commercial negotiations with landlords, property owners, and real est

Excelfinancesupply chain
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MongoDB
📍 Gurugram• Full-time
2mo ago

The Central Sales Analytics team at MongoDB sits at the center of how we understand and improve the performance of our revenue engine. While this role is rooted in Sales Analytics, its scope is broader and spans key parts of the GTM organization. This team partners closely with Sales, Sales Operations, Strategy & Planning, FP&A, Compensation, GTM Tech, and other cross-functional stakeholders to drive data-informed decisions across pipeline, productivity, forecasting, product adoption, and overall business performance. We are looking for a Sr/Staff Analyst who can operate as both a strategic thought partner and a hands-on builder. This person will lead high-impact analytics work, translate ambiguous business questions into clear analytical plans, and develop scalable data products that help leaders make better decisions faster. The right candidate combines strong business judgment with deep technical fluency in SQL and Python, and is comfortable influencing senior stakeholders while independently driving complex work from scoping through execution. This role also sits at an important intersection of GTM, Product, and Technology. In select cases, this person will work with Product and Technical teams to connect GTM insights with product signals and customer behavior, especially across GTM Tech, Atlas Core, and Emerging Products. There is also a strong expectation that this person brings an AI-forward mindset, using leading AI technologies and platforms to accelerate analysis, improve workflows, and build scalable insight-generation capabilities. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What you'll do Partner with Sales, Sales Operations, Strategy & Planning, FP&A, Compensation, GTM Tech, and broader GTM stakeholders to identify high-value analytical opportunities and turn them into actionable insights Lead deep-dive analyses across pipeline health, funnel conversion, seller productivity, quota attain

pythonsqlmongodb
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LTS
📍 Minnesota, United States• Remote• $100.3K – $112.3K/yr
2mo ago

Location: Remote (U.S.) Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a detail-oriented and collaborative Functional Business Analyst to support a major AI modernization initiative within the Department of Veterans Affairs (VA) health portfolio. This role will support business process analysis, requirements gathering, stakeholder engagement, and modernization efforts tied to mission-critical healthcare systems and enterprise transformation initiatives supporting Veteran healthcare services nationwide. This is not a traditional business analyst role built around eliciting requirements from user interviews. Business requirements must instead be extracted directly from the existing functionality of the module and through AI tools— analyzing current workflows, business rules, and system behavior to understand how the system works today, then identifying and shaping opportunities to enhance and modernize it. Also, ensure accuracy of outputs from AI tools. The ideal candidate will possess strong analytical, communication, and documentation skills with experience supporting large-scale federal healthcare or enterprise IT modernization programs, and will work closely with government stakeholders, product owners, architects, developers, and operational teams to translate current-state system functionality into actionable technical and functional requirements. What You’ll Do: Analyze and reverse-engineer business, functional, and technical requirements directly from the existing VistA/MUMPS Prosthetics module — extrapolating current-state rules and workflows from system functionality rather than starting from user-interview elicitation. Conduct stakeholder interviews, workflow analyses, gap assessments, and facilitated working sessions. Translate business needs into user stories, epics, process flows, requirements documentation, and acceptance criteria. Support efforts involving legacy VistA/MUMPS-based healthcare systems and enterprise applic

REMOTEazureaiproject management
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A
Affirm
📍 Poland• Full-time• Remote• $192K – $288K/yr
2mo ago

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. We’re looking for a curious, driven professional to join our Revenue Analytics team. This builds and owns the data products, reporting infrastructure, semantic foundations, and analytical systems that power Affirm’s Revenue organization. As a Senior Analyst, Revenue Analytics, you’ll build scalable data products that power day-to-day decision-making - owning end-to-end work across data modeling, metric definitions, dashboards, automation, and enablement. You’ll also help strengthen our semantic layer and data governance, laying the foundation for reliable AI. The ideal candidate combines strong technical and analytical skills with the ability to turn ambiguous business questions into durable, well-tested data infrastructure. What you'll do Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts Build and maintain critical reporting data models that power external merchant reporting Build the semantic, metadata, and context layers that allow AI systems to accurately understand Revenue data, metrics, and business definitions Partner with Business Systems, engineering, and business stakeholders to translate requirements into durable, well-tested data products Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows) Develop processes, governance, and foundations to scale the impact of analytics within Revenue. What we look for 3+ years of work experience in an analytics engineering or business intelligence role Strong working knowledge of SQL, dbt, Python, data modeling, and data visualization Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake) Understanding of the data f

REMOTEpythonsqlai
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M
Micron
📍 Hyderabad• Full-time
2mo ago

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. Responsibilities include, but not limited to: Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets. Experience in the areas: Agentic AI, statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement. Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques. Strong software development skills. Strong verbal and written communication skills. Experience with or desire to learn: Machine learning and other advanced analytical methods Fluency in Python and/or R pySpark and/or SparkR and/or SparklyR Hadoop (Hive, Spark, HBase) Teradata and/or another SQL databases Tensorflow, and/or other statistical software including scripting capability for automating analyses SSIS, ETL Javascript, AngularJS 2.0, Tableau Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus Experience working with Manufacturing Execution Systems (MES) is a plus Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position About

javascriptpythonsql
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O
2mo ago

About the Team OpenAI’s GTM Data Science team helps shape how our products are adopted, monetized, and scaled across organizations. We work at the intersection of Product, Go-to-Market, Finance, Research, and Data, turning product usage, customer evidence, and market signals into decisions that grow durable enterprise value. We’re looking for a senior Data Scientist to own the analytical strategy for enterprise knowledge-worker adoption. As ChatGPT Work and Codex become capable of research, analysis, document creation, spreadsheets, presentations, internal knowledge synthesis, and other agentic workflows, you will help determine how these products become embedded in everyday work—not merely tried once. About the Role You will define how we measure activation, retained usage, workflow depth, and value across ChatGPT Work, Codex, and connected enterprise systems. You will explain why adoption succeeds or stalls and identify the product, enablement, and commercial interventions most likely to create durable usage. This is a hands-on, zero-to-one role. You will work through imperfect telemetry, overlapping product surfaces, evolving definitions, and ambiguous business questions. You will partner closely with GTM, Product, Finance, Research, Customer Deployment, Analytics Engineering, and Data Science. Your work is successful when it changes a product, GTM, or investment decision. In This Role, You Will Define a trusted measurement framework for knowledge-worker adoption, including identity, eligible populations, activation, retained usage, penetration, workflow depth, feature adoption, and monetization. Map the knowledge-worker journey from initial exposure through first successful task, repeated workflows, multi-surface usage, and durable adoption. Identify which personas, functions, use cases, product capabilities, and account conditions are associated with deep and retained usage. Design and evaluate experiments and quasi-experiments across onboarding, enablement, wo

pythonsqlaws
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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. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company's vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco and New York offices. The Customer Care team makes sure that every time Lyft enters a new market, launches a new mode, or works with a new partner, riders and drivers get the support experience they expect from day one. Some of Lyft's biggest growth bets run straight through this work: expanding into new countries, putting riders into autonomous vehicles with partners like Waymo and May Mobility, and standing up entirely new lines of business. This role owns customer care across these initiatives: shaping the support experience for each, and building the platform, playbooks, and standards that let us launch the next one faster than the last. You'll work hand in hand with the internal & external teams leading each initiative, bringing a strong, independent point of view on what great customer care takes. It's high-visibility work tied directly to where Lyft is growing next. Responsibilities: Own the customer care and support experience for Lyft's highest-priority growth initiatives—spanning international expansion, autonomous vehicles, and new lines of business Partner closely with the internal teams leading each initiative, folding customer care into the broader launch and bringing a strong, independent point of view on what great support requires

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