Analytical Quality Assurance Director Jobs

SLSQ327R566 Mission Databricks is seeking a Manager, Marketing Insights Business Partner to serve as the embedded insights partner to the [VP/GM] of EMEA Marketing and their leadership team. This role exists to create leverage: to make marketing performance easier to understand, easier to act on, and easier to improve. Reporting to the Director, Marketing Insights, you will bring analytical rigor and a clear point of view to how EMEA plans, forecasts, measures, and improves its work. Beyond reporting on outcomes, you will produce the forecast leadership plans against, hold visibility into how the work itself is running, and help scope and land the pilots that change how we operate. You will partner closely with Marketing Leadership, Campaign Operations, Marketing Platform & Systems, Sales Operations and Finance. The impact you will have: Serve as the insights partner to the [VP/GM] of EMEA Marketing and their leadership team, delivering the analysis and narrative required for business reviews, QBRs, and pipeline councils, so that leadership forums produce actionable decisions. Maintain a single, trusted view of EMEA marketing performance across a consistent framework of marketing motions, standardizing dashboards and reporting inputs so teams work from a consistent read on what is working, what is not, and where risk is emerging. Support functional target-setting model for EMEA, including program, channel, and product-level contribution, and produce the forecast leadership plans that other teams can rely on. Maintain the leading-indicator framework for EMEA, identifying the early signals that predict outcome performance, so that intervention happens while the quarter can still change, rather than being diagnosed after it closes. Translate performance data into insight, implications, and recommended areas of focus tied to internal milestones and supporting cross-functional requirements within regions. Own execution telemetry for EMEA, mai

Leidos has an immediate & exciting opportunity for a TS/SCI cleared Mechanical Modeling Engineer in our Intel Security Sector's Analysis Solutions Business Area . Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos , we offer competitive benefits , including Paid Time Off, 11 paid Holidays, Immediate Vesting in our 401K, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Job Summary: The Mechanical Modeling Engineer will support the National Space Intelligence Center (NSIC) at Wright-Patterson Air Force Base in Dayton, OH. In this role, the Mechanical Modeling Engineer will construct highly detailed 3-D geometric computer-aided design (CAD) models of multiple foreign spacecraft to include static and dynamic characteristics (e.g., external configuration, layout and location of internal subsystems, antenna and solar panel motion, construction techniques, and materials descriptions). CAD models shall be completed in industry standard portable formats, ensuring that products conform to existing standards, as required by the client. The Mechanical Modeling Engineer will collaborate with a team of military, government, and other contractors to achieve high confidence answers to challenging problems. Our new colleague will also work independently and have effective writing and verbal communication. Primary Responsibilities: Construct highly detailed 3-D geometric computer-aided design (CAD) models of multiple foreign spacecraft. D

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. This role demands exceptional strategic planning skills , strong analytical thinking , and creativity in applying optimization methodologies to determine optimum loading, capital efficiency, and sweet-spot studies. You will leverage structured data analysis to understand market conditions, develop optimal loading plans, and provide data-driven recommendations that support executive decision-making and business success. Most importantly, you should have a deep understanding of capacity planning , business processes, and capital optimization, with the ability to identify improvement opportunities through scenario analysis and automation . The ideal candidate embraces AI-enabled ways of working by leveraging AI-powered analytics , decision-support tools, and intelligent automation to accelerate insights, improve forecast accuracy, streamline planning processes, and eliminate manual errors while driving greater business efficiency and operational excellence. Responsibilities and Tasks: [Scenario] Apply optimization concept and technique to ensure optimal loading volume across horizon able to meet target bit (GB) and market share while considering new technode qualification milestone and ramp planning.<

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. The Architecture Modeling team develops software, modeling platforms, and analytical tools that enable the evaluation and optimization of next-generation storage system architectures. By combining simulation, data analytics, automation, and AI-enabled engineering practices, the team helps accelerate architectural decision-making and improve engineering productivity across product development organizations. As an Architecture Modeling Intern, you will develop software tools and automation solutions that support architecture modeling, simulation analysis, and performance characterization efforts. You will collaborate with architects, firmware engineers, and systems engineers to analyze complex datasets, identify performance bottlenecks, improve engineering workflows, and leverage AI technologies to enhance productivity and technical decision-making. Responsibilities Develop software tools and automation solutions for architecture modeling, simulation analysis, and performance characterization activities. Create workflows to process, analyze, visualize, and report on large engineering datasets to improve insight generation and decision-making. Design dashboards, reporting tools, and analytics solutions that improve engineering productivity and identify performance trends or anomalies. Apply AI-assisted development techniques, automation frameworks, and intelligent analytics to accelerate software development and engineering workflows. Collaborate with cross-functional engineering teams to so

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: Are you eager to make an impact in a fast-paced, agile environment? Do you have strong experience in operational risk and controls, model risk, and reporting, along with analytical and interpersonal skills and knowledge of Single-Family Acquisitions (SFA) or mortgage markets? If you are curious, passionate about learning, and customer-focused, apply for the Operational Risk Senior Manager to help lead SFA Risk Management. Our Impact: As part of Freddie Mac’s Single Family Acquisitions (SFA) organization, Operational Risk Management (ORM) drives consistency, transparency, and effectiveness in nonfinancial risk across multiple domains, including People, Reporting, Transaction and Execution, Information, Technology, Third Party, Operational Resiliency, Model, and Physical Security and Safety Risks. This role will focus on Model risk including Model Development, Implementation, Performance, Use, and Governance risks. The role will also support Artificial Intelligence (AI) risk assessments. ORM integrates: Risk and control evaluations across the Single Family Acquisitions Division Management reporting Coordination and escalation management Your Impact: As a SFA ORM Senior Manager, each workday is unique. Your impact will focus on the following key activities: Evaluate and report on operational risks, controls, issues, and policies/procedures. Document operational risks and controls as part of risk an

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Role We are seeking a Senior Finance Manager to serve as a key partner to Mixpanel’s Engineering, Product, and Design (EPD) organizations. This person will own infrastructure cost, EPD opex, and headcount planning while building scalable systems to improve visibility and decision-making, as well as the analytical frameworks that guide how Mixpanel deploys capital and allocates resources across these areas. You’ll partner cross-functionally with Engineering and Product leadership, People, and Finance to ensure investments are intentional, efficient, and aligned with long-term company strategy. Responsibilities Own the Product investment envelope – Manage OpEx and headcount budgets across EPD. Ensure investments align with company strategy while maintaining efficient spend and margin targets. Drive rigorous workforce planning across technical and corporate teams – Build bottoms-up headcount models by function and level. Partner with Engineering leaders to sequence hiring against roadmap needs, compliance requirements, and operational scale. Model infrastructure and internal systems economics – Develop clear forecasting models for cloud hosting, AI/compute, internal tooling, SaaS applications, and enterprise systems. Identify optimization opportunities across both product infrastructure and corporate tech stack. Translate roadmap and corporate priorities into financial tradeoffs – Evaluate build vs. buy decisions, capitalizable vs. expensed R&D, and vendor investments across EPD. Provide clear recommendations grounded in ROI and long-term cost structure impact. Elevate budget vs. actuals rigor

Location: In-Person (New York, NY) Compensation: $17.00 – $20.00 / hour Commitment: 20-30 hours/week About Eulerity At Eulerity, we are building the future of AI-driven marketing automation. Our platform helps franchises and multi-location businesses manage digital advertising at scale using machine learning, automation, and data. Behind that technology is a Finance team building the financial infrastructure to support a growing company. We are looking for a highly organized, analytical, and detail-oriented Finance Intern to join our New York office and work directly with our Controller. This is a hands-on role. You will work with real financial data, transactions, reconciliations, client media spend, reporting, and month-end close activities not just administrative tasks or theoretical exercises. You will also gain exposure to how AI and automation can improve finance processes, reduce manual work, and analyze large datasets. What You Will Do Accounting & Operations: Support AP/AR, reconciliations, and day-to-day accounting while maintaining accurate financial data. Media Spend Tracking: Reconcile high-volume media spend and learn how gross vs. net revenue works in an AdTech business. Financial Reporting: Support month-end close and preparation of financial reports. Financial Modeling: Gain exposure to forecasting and financial modeling. What We're Looking For Currently pursuing an Undergraduate/ Graduate degree in Finance, Accounting, Economics, Business Analytics, or a related field. December 2027 graduation is ideal; May 2027 or later will also be considered. Coursework or experience in accounting, finance, bookkeeping, or data analytics . Strong proficiency in Google Sheets or Excel and comfort working with large datasets. Exposure to QuickBooks Online, Xero, or similar accounting systems is a plus. Strong attention to detail and ability to identify and resolve discrepancies. Proactive, organized, and comfortable managing multiple priorit

POSITION SUMMARY: We are looking for a highly motivated Senior Research Associate with a strong focus on process optimization and improvements to join the Molecular Biology product development team, joining a group of scientists who are tasked with developing and advancing Natera’s oncology product portfolio. The Senior Research Associate performs research and/or development tasks in collaboration with others. Makes detailed observations, analyzes data, and interprets results. Investigates creates and develops new methods and technologies for project advancement. Maintains a high level of professional expertise through familiarity with scientific literature. PRIMARY RESPONSIBILITIES: Design, plan, and perform experiments geared towards the development of non-invasive prenatal tests and cancer detection tests. Autonomously and accurately plan and execute complex laboratory experiments Analyze data using advanced analytical tools Keep a detailed laboratory notebook; write protocols and experimental plans, and document results and scientific interpretations Contribute insight toward experimental findings and troubleshoot laboratory processes and protocols Communicate and discuss results with a multidisciplinary team including biologists, bioinformaticians, statisticians, software engineers, and managers Summarize work in research reports and laboratory meeting presentations Learn and understand the science behind ongoing research projects while simultaneously completing increasingly complex tasks. This role will have occasional access to PHI both in paper and electronic form and have occasional access to various technologies to access PHI (paper and electronic) in order to perform the job. The employee must complete training relating to HIPAA/PHI privacy, General Policies and Procedure Compliance training and security training as soon as possible but not later than the first 30 days of hire. Must maintain a current st

About Datadog: Datadog is the world-class monitoring and security platform for cloud applications. We’re dedicated to creating, developing, and supporting our product and customers, allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally. Built by engineers, for engineers, our SaaS product is used by organizations of all sizes across a wide range of industries to enable digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stack. Given the resilience of cloud technologies and importance placed today in digital operations and agility, Datadog continues to innovate and is well positioned for the long term. The Team: Datadog's Finance team collaborates with teams across the organization, providing commercial, operational, and analytical support to ensure that Datadog's business continues to grow as rapidly and efficiently as possible. The Opportunity: We are seeking a Manager, Revenue Accounting to join our growing Finance team at Datadog. This role owns the revenue close and technical revenue accounting for a high-growth, usage-based business, manages and develops a team of revenue accountants, and partners cross-functionally to scale our order-to-cash and billing processes as the Company grows. You Will: Own the monthly revenue close, including review and approval of journal entries, balance sheet reconciliations, and supporting schedules prepared by the team. Manage, coach, and develop a team of revenue accountants — set priorities, review work product, and build bench strength as the team scales. Own technical revenue conclusions under ASC 606, including review of memos for complex and non-standard arrangements, variable consideration, and RPO disclosures. Own the design, documentation, and operation of SOX controls across revenue and order-to-cash, and drive remediation where gaps are identified. Partner with Deal Desk, Legal, Sales Systems, Order Operations

TaylorMade Golf is a global leader in golf equipment, driven by relentless innovation across clubs, balls, and accessories. Our North America Operations team balances service, demand, and supply across a fast-moving, seasonal portfolio. The Senior Manager, Supply Chain Analytics & S&OP is the analytical backbone of TaylorMade's North America Operations team. This role sits at the intersection of Sales, Supply Chain, Finance, and Operations — translating complex data into clear, actionable insights that drive cross-functional alignment and continuous improvement across the S&OP cycle. This individual provides leadership visibility into key performance trends through reporting, data validation, and analysis across planning, service, inventory, logistics, and operations. They also lead and develop a team responsible for delivering accurate analytics and strengthening business intelligence capability across the North America Operations organization. Essential Functions and Key Responsibilities: S&OP Analytics & Process: Supports the North America S&OP process by preparing analytics and review materials that align Demand Management, Supply Planning, Sales, Finance, and Operations around demand, supply, service, and inventory considerations. Directs the team's preparation of pre-read materials, variance narratives, and executive-level presentations for monthly S&OP cycles, lessons-learned reviews, and consensus forecast sessions. Develops scenario and trade-off analysis for executive reviews to support decisions on capacity allocation, product priorities, service levels, and inventory balance. Partners with Sales, Demand Management, and Supply Planning to identify root causes of forecast bias, service performance gaps, and planning misalignment. Contributes to S&OP process maturity initiatives — documentation, playbook development, gover

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: Develop and optimize electrical parameter performance metrics through rigorous testing and analysis. Collaborate with cross-functional teams to craft and implement electrical parameter performance improvements. Drive yield improvement programs to achieve flawless production outcomes. Monitor and analyze device performance data to identify and resolve issues promptly . Margin Bin related yield improvement and maintenance. Minimum Qualifications: Bachelor's degree in Electrical Engineering, Materials Science, Physics, or a related field. No experience is acceptable. Experience in semiconductor device engineering is more advantageous. Proven expertise in device characterization and optimization. Strong analytical skills with the ability to solve complex technical problems. Preferred Qualifications: Advanced degree or equivalent experience (Master's or PhD) in a relevant field. Experience with brand new memory technologies. Familiarity with statistical analysis software and methodologies. Demonstrated ability to lead projects and mentor junior engineers. Familiar of AI agent or application <p

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. This role requires outstanding forward-thinking, analytical thinking, and creativity to apply optimization methodologies that drive efficient loading, capital efficiency, and sweet-spot studies. The successful candidate will use structured data analysis to assess market conditions. They will develop efficient loading strategies and provide data-driven recommendations to support executive decisions and business success. The ideal candidate will have a strong understanding of prioritisation, business processes, and capital optimization. They will be able to find opportunities through scenario analysis, automation, and continuous improvement initiatives. This role embraces AI-enabled ways of working through the use of AI-powered analytics, intelligent automation, and decision-support tools to accelerate insights, improve forecast accuracy, streamline planning processes, reduce manual effort, and drive operational excellence. Responsibilities Develop and optimize capacity loading plans using industrial engineering and optimization methodologies to achieve business targets, market share objectives, and technode ramp requirements. Perform capacity, scenario, and conversion cost evaluations to assess business alternatives, support technology planning, and offer analytical insights to leadership. Collaborate

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. Data is at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to build the tools and analytics that drive revenue for the sales organization behind Lyft's B2B portfolio — a multi-billion-dollar book of business spanning healthcare, business travel, corporate commute, automotive, and transit. This team has real say in what gets built. You will be the analytical partner to our Sales and account teams — someone who can translate findings into a clear narrative for both technical and non-technical audiences. Responsibilities: Build the tools and analytics sales leaders use to grow their accounts — pacing views, account-health signals, territory and segment views that change what a rep or manager does next Field requests from Sales, Product, Finance, Legal, leadership, and external stakeholders, and decide what's worth building, what's worth a sharp piece of analysis, and what's out of scope Build and maintain production data pipelines, and automate recurring workflows, with documentation and validation clear enough that a teammate — or an AI agent — can use them without asking you first Define what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same question Contribute to the internal tools and semantic layer — prompts, context, and guardrails — that let stakeholders query B2B data in natural language and trust what comes back Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences Experience: Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields 3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales

About the Team The Pricing & Monetization team is responsible for how our products create and capture value. We partner closely with Product, GTM, Finance, and Systems teams to design pricing models, packaging, and commercial strategies that support adoption, growth, and long-term scaling of the business. To thrive in this team, you need to be a proactive problem-solver who excels at bringing structure to ambiguous challenges. Our work demands strategic thinking, cross-functional collaboration, and precision in execution. Team members succeed when they are analytical, detail-oriented, skilled at balancing multiple priorities, and passionate about driving high-stakes projects forward to deliver meaningful results. About the Role We are looking for a Pricing Operations Lead to help translate pricing and packaging decisions into clear, scalable execution. You will work closely with pricing leaders and cross-functional partners across Product, Engineering, Billing, Finance, and GTM to ensure pricing changes are implemented accurately, system requirements are well managed, and launch decisions move from strategy to reality with discipline. You should be comfortable operating at the intersection of business judgment, systems thinking, and program management. This role will help shape the operating backbone for pricing implementation, support teams developing billing and related monetization systems, and ensure the pricing team's needs are represented clearly in cross-functional planning and execution. In this role, you will: Lead the operational execution of pricing and packaging decisions from approval through implementation and launch Translate pricing strategy, policies, and launch decisions into clear business requirements for billing, quoting, revenue, and related systems teams Partner with Product, Engineering, Billing, Finance, and GTM teams to manage dependencies, scope tradeoffs, testing needs, and launch readiness Own pricing-related requirement intake and p

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 headquarters. Lyft's Verticals team owns three of the most strategically important and operationally complex marketplaces in our business: airports, scheduled rides, and events. These are the moments that matter most. Airports are a defining touchpoint in the Lyft experience: high-stakes, high-complexity, and critical to both rider trust and driver earnings. Scheduled rides give riders confidence and control while giving drivers greater predictability. Events, from packed stadium concerts to sold-out games, require precision logistics and seamless coordination at scale. Together, these verticals represent some of the highest-intent, highest-value use cases on the Lyft platform. As a Senior Product Manager on the Verticals team, you'll lead a cross-functional team to shape how millions of people plan, book, and experience their journeys across these critical moments. You'll build seamless booking flows, deeply personalized experiences, and robust integrations with travel and event partners. You'll also take on some of the most complex challenges in rideshare: optimizing rider-driver matching in dynamic, high-variability environments, advancing demand forecasting, improving real-time driver guidance, and designing targeted incentives that drive growth. The so