Business Analysis Manager Jobs

Role Description We’re looking for a n experienced Compensation Business Partner to join our Compensation Team. We collaborate with HR partners and business leaders to d esign and implement compelling compensation prog rams . We advise on complex compensation matters with in-depth analytics and strategic alignment to business goals. In this role, y ou will be client-facing and serve as a trusted partner to senior leadership t o support their unique needs. Responsibilities Drive Dropbox’s compensation philosophy, design and programs for your client teams . Build a consultative and collaborative relationship with HR business partners , business leaders , and executive leadership on compensation programs evolution and compensation initiatives. Act as a trusted advisor on compensation decisions. Support decisions with sound judgement and data-backed recommendations. Proactively r esearch compensation best practices and trends . P erform analysis on effectiveness, competitiveness and fairness of existing programs. Present findings and thoughtful alternative solutions that are aligned with Dropbox’s philosophy. Contribute to the design, delivery, and continuous improvement of enterprise-wide compensation programs and processes, including job architecture, market benchmarking, compensation review cycles, and global compensation practices. Design and implement programs with an understanding of fulfilling business need and impact on global employee base. Build and d eliver compensation - related training and education materials to your client teams. Work with the R ecruiting team to deliver a delightful new hire process by applying Dropbox compensation policies in fair and equitable ways . This includ es new hire offer package consultation to ensure alignment to market and internal peers . Requirements BA/BS in related field 7+ years of experience in-house or advising, preferably for the technology industry or compensation consulting firm Experience with job evaluation

About the Team OpenAI's Compensation team plays a crucial role in rewarding and retaining world-class talent who will ensure that artificial general intelligence benefits all of humanity. By crafting and implementing innovative compensation strategies, we ensure our compensation offerings are competitive, equitable, and aligned with OpenAI's mission to scale intelligently and ethically. About the Role We are expanding our Compensation team and seeking a Compensation Business Partner to help build the compensation pillar for our go-to-market organization. This is a hands-on individual-contributor role for someone who brings deep GTM compensation expertise and enjoys turning evolving business needs into practical, scalable programs. As a member of the total rewards team, you will partner closely with GTM leaders, HR Business Partners, Recruiting, Finance, and other cross-functional teams. You will spearhead compensation work across benchmarking, offer review, program design, and job architecture, with particular focus on the needs of a rapidly growing commercial organization. The shape of the work will evolve as the business grows. At times, you may independently lead key initiatives from strategy through execution. At other times, you will work alongside additional compensation partners and cross-functional resources. Success in this role requires comfort operating with ambiguity, strong judgment, and a willingness to stay close to the details while building for scale. This is an individual contributor role, designed for a subject-matter expert and hands-on builder. In this role, you will: Build and evolve compensation programs that support OpenAI’s growing GTM organization. Serve as a trusted compensation advisor to GTM leaders, HR Business Partners, Recruiting, and Finance. Lead compensation analysis and approval for offers, balancing market context, internal consistency, and OpenAI’s compensation philosophy. Own benchmarking and market analysis for GTM roles, tran

Human Data Quality Analyst, AI Business Prolific Prolific isn’t just enabling AI innovation – we’re redefining it. While foundational AI technologies are becoming commoditized, Prolific’s human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision. The Role Prolific provides the human data that powers the next generation of AI models, working with frontier labs to capture the complex human judgments researchers need to train, evaluate and improve them. As a Human Data Quality Analyst, you'll be on the front line of making sure that data captures the right signal and is genuinely good enough to do its job. This isn’t traditional, back-office QA. You’ll be doing real analytical work: digging into datasets, identifying patterns and failure modes, investigating why quality has shifted, and turning complex findings into clear insights that help us improve how data is collected, reviewed and delivered. You'll spend real time reading annotations closely, but that is how you gather evidence, not what you produce. What you produce is analysis, practical recommendations and better quality controls. You'll get hands-on exposure to human data, annotation, machine learning pipelines and AI evaluation, working alongside Quality, Engineering, Operations and Delivery on new and evolving problems. There won't always be an established playbook. You'll be guided by our quality engineers, but you'll also need to run your own analysis, test your assumptions and recognise when you need input. It is a role with a steep learning curve from day one and a strong opportunity for someone early in their career to build deep, practical experience in a fast-moving area of AI. What You’ll Be Doing Run day-to-day qualit

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. Job Summary: Micron Yield Improvement Failure Analysis Shift Technician that performs Electrical and Physical Failure Analysis (EFA/PFA) investigative work for defect issues identified by YE and Fab customers. Monitors recently probed material and categorizes dead die into known defect issue categories and investigates new or unknown defect issues. This position requires a strong sense of responsibility and passion, reflecting Micron’s core values: People, Innovation, Tenacity, Teamwork, and Customer Focus. Responsibilities: Performs initial data analysis on new issues, conducts failure analysis, documents findings, and summarizes investigation results—including potential root cause—into a single report for stakeholders. Efficiently operates all lab equipment in compliance with safety guidelines, with a strong understanding of equipment functionality and ability to perform basic troubleshooting. Supports Company and Department Objectives Works to support company and department objectives and vision plans Open to suggesting new ideas and participates in projects and teams in support of department and company objectives Minimum Requirements: Associates degree in Electronics, AC/DC Electronics Technology or equivalent Flexibility to work 12-hour shifts (3 on/4 off and 4 on/3 off) and be willing to move to different shifts and work overtime to support business operations. The ability to always wear lab-specific clean room garme

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As a Member of Technical Staff in Data Analysis and Evaluation, you will play a pivotal role in ensuring the quality, reliability, and performance of our large language models (LLMs). Your primary focus will be on designing and conducting data collection tasks, assessing and evaluating dataset quality, and analysing the robustness and generalisability of our models. You will work closely with cross-functional teams, including researchers, engineers, and data annotators, to conduct data-driven decision-making and improve the overall effectiveness of our AI systems. This role combines expertise in statistics, experimental design incl. human annotators, and machine learning to ensure that our models are trained on high-quality data and perform reliably across diverse scenarios. You will contribute to Cohere’s mission of advancing AI by ensuring our systems are robust, scalable, and impactful. Please Note: We have offices in London, Paris, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! There are no restrictions on where you can be located for this role. As a Member of Technical Staff

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Internal System Org is at the core of Stripe to empower mission-critical financial domains including Finance & Strategy (F&S), Accounting, Tax, Treasury, Product Experience, GTM. We are the Financial Enablement team, acting as the centralized data analytics team for Internal System Org. Enable and empower F&S, GTM, Accounting, Product teams to achieve business goals, through dataset development, data analytics support, dashboards, AI, and operation efficiency enhancements. What you’ll do Responsibilities Perform data analysis, identify trends, conduct research, build visualizations, all to deliver objective, critical insights that fulfill team stakeholders’ business needs Work closely with cross-functional teams, including Finance & Strategy, Accounting, Product, Tax, User billing, Seller System, and Sales Ops teams, to align on financial goals and drive revenue growth Be the data strategy partner for our business stakeholders Reconcile complex dataset across complex finance systems Coordinate

About the Team The Business Data Science team uses data and analytics to optimize business performance, drive growth, and foster meaningful partnerships, with the goal of ensuring the sustained and impactful expansion of OpenAI's initiatives to maximize the benefits of AGI for all of humanity. We partner with Sales (GTM), Marketing, Partnerships, Support, Finance, Product, and Growth. About the Role As a member of our Business Data Science team, you will help build a data-driven culture around insight generation, decision making, and strategy at OpenAI. This role is focused on driving customer success within our business products (ChatGPT Team, ChatGPT Enterprise, and API). You will work on projects such as identifying opportunities for interventions within a customer lifecycle to drive activation & onboarding, identifying target audiences for new feature launches, and measuring the efficacy of emails, events, and other interventions to drive ongoing engagement with our products. This role is based in San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Embed with our Customer Success organization as a trusted partner, uncovering new ways to drive customer adoption and engagement of our business products. Establish key metrics, run experiments, and perform analysis to help us understand the incrementality of our efforts to drive adoption/engagement. Proactively surface insights and opportunities to drive engagement and growth. Build tools and systems for stakeholders to self-serve routine data and insights freeing up time to work on more leveraged analyses. Become an expert in OpenAI’s data and systems. Through partnership with Data Eng, Finance and other business teams, you will self-serve all the underlying data for our business and derive insights from them. Partner with other data scientists across the company to share knowledge and continually

ABOUT THE BRAND: Callaway Golf Company is a premium golf equipment, gear and apparel company with a portfolio of global brands, including Callaway Golf, Odyssey, TravisMathew, and OGIO. Through an unwavering commitment to innovation and premium craftsmanship, Callaway designs, manufactures, and sells high-performance golf clubs, golf balls, apparel, bags, and other accessories—setting the standard for performance in the game of golf. Our Mission: To create demonstrably superior and pleasingly different products powered by innovative technology and premium craftsmanship enabling golfers of all abilities to play their best and find more joy in the game. Our company is a blend of experience and diverse backgrounds, and together we look to leave the past behind while moving the game forward. For more information, please visit https://www.callawaygolf.com ROLES AND RESPONSIBILITIES Lead the design, configuration, implementation, and support of the SAP Analytics Cloud (SAC) Application for developing and supporting the planning and analytics functions. Lead the implementation and support of SAP’s Business Intelligence solutions. Lead all phases of the project life cycle including analysis, design, development, testing, deployment, and post-production support/maintenance. <l

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 Drive the hardware engineering lifecycle for Everpure’s Hyperscale Line of Business, shaping high-performance, energy-efficient storage architectures tailored directly to hyperscale partners . You will serve as the technical lead bridging customer requirements and internal engineering execution, ensuring custom hardware solutions meet exacting performance and total cost of ownership (TCO) benchmarks . Working closely with cross-functional teams in validation, diagnostics, manufacturing test, and operations, you will lead hardware qualification projects, solve critical escalations, and advance system robustness . This role gives you direct ownership over the hardware that powers next-generation, large-scale data infrastructure . WHAT YOU'LL DO Lead Hardware Qualification & System Hardening: Plan, execute, and automate comprehensive x86 hardware validation cycles—including electrical, signal integrity, and protocol testing—to guarantee system reliability for enterprise hyperscale deployments . Drive Cross-Functional Production Readiness: Partner with operations, manufacturing test, and software diagnostic teams to transition custom storage subsystems into full-scale production, establishing clear test coverage and automated validation workflows . Resolve High-Impact Technical Escalations: Perform root-cause analysis on complex hardware failures and field escalations, using advanced tools like high-speed o

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: Gathering and documenting business and project requirements Managing stakeholders of differing levels Analysing and profiling large and complex datasets Managing a team backlog using tools like Jira or Azure DevOps Agile ways of working Familiar with Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) systems Creating conceptual, logical and physical data models Creating mapping specifications for data migrations Coordinating User Acceptance Testing (UAT) with business stakeholders Excellent SQL skills Knowledge of python (pandas) Experience with Cloud platforms Creating data dashboards using Tableau, PowerBI or Qlik and story telling We expect you to work closely with business to understand their current data problems, pain points and to know how to analyse and cleanse their data. Also, we expect you to design data storage solutions and be a good communicator with your technical team. Our promise to you We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals and ability to work on personal projects. We believe that a geled team is worth its weight in gold – we will do everything we can to avoid breaking well-performing teams. Whilst continuity across every project is no

Job title: Data Validation Role Purpose (overall high level summary of the role) Finance has mobilised the first phase of a five year programme to transform the Finance operating model by leveraging cloud technology. Finance Cloud Transformation will rationalise operational processes, automate data and report production, to deliver comprehensive data to our internal and external stakeholders for analysis and reporting. The programme will entail migration of core Finance data and processes to the cloud, with an initial phase to implement a standard global operating process for Finance actuals report production, followed closely by forecast data and report production. The vision for the Finance on the Cloud Programme is “to deliver standardised global processes that leverage a single dataset for reporting, analysis and forecasting.” Key programme outcomes are to deliver a singular automated data production processing capability for actuals and forecasting, correction of data once for all downstream calculations, reports and outputs, introducing automated preventative and detective controls, significantly reduce manual activity in the run-time actuals process to allow the production of all actuals outputs by working day 5 for a monthly process The Data Analyst will be expected to support the delivery of data related activities within the FotC programme. Various aspects may include data validation, solution functionality validation, data gap analysis, reconciliation, user tooling or automation testing activities. • The role holder will be responsible to functionally understand and test our liquidity core release requirements • He/ She is required to perform a detailed data validation to ensure the data reflects accurately across all liquidity returns for all applicable regulations - PRA/EBA/HKMA/US FED etc. • He/She needs to furnish UAT dashboards and walkthrough the Reporting Ops of the changes introduced by liquidity core release requirements • He/She is

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Senior Data Analyst - Field Analytics As part of Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team drives insight and scale within the global field organization. We serve as the core engine for the analytics and strategic analysis that enable our leaders to make data-driven decisions that determine the trajectory of Okta’s growth. You will be responsible for building high-impact technical assets, ranging from executive Tableau dashboards to standardized Snowflake datasets, while staying at the forefront of AI-driven analytics workflows. You will partner with US-based leadership and local team members to ensure our reporting framework is scalable, accurate, and deeply aligned with Okta’s global GTM strategy. Job Duties & Responsibilities: Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets that provide actionable insights to business partners across the global organization Data Set Engineering: Build and optimize production-grade data sets in Snowflake, ensuring that all field data (Pipeline, Bookings, Productivity) is clean, structured, and easily accessible for self-service analysis. Documentation & Governance: Take ownership of the technical documentation for all GTM reporting assets, ensuring data lineage, metric definitions, and logic are clearly defined and accessible. AI Implementation: Champion the use of Generative AI tools to accelerate the analytics lifec

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Strategic Finance team is focused on solving some of Figma's most pressing business issues. The team is responsible for owning the company's budget, driving annual and quarterly planning processes, allocating and deploying the company's resources efficiently, performing financial analyses, and partnering with teams across the company. This role requires someone who can own and evolve the finance systems backbone at Figma and drive outsized impact as we scale toward more automated, intelligent, and AI-enabled planning. We're looking for someone who is highly analytical and strategic, a great communicator, approaches problems in a structured manner, and is comfortable with ambiguity. You'll get substantial visibility, focus on the highest-priority business issues, and be plugged into every facet of the business. This is a full-time role that can be held from one of our US hubs (SF / NY) or remotely in the United States. What you’ll do at Figma: Drive the execution of transformational projects by applying their finance and systems expertise, collaborating with partners across the organization, and defining business processes that improve automation, standardization, and simplicity Influence Figma Finance's AI adoption strategy, defining how AI can be embedded into systems and workflows as infrastructure to drive analysis, reporting, and forecast decisions and execute on adoption alongside the team Serve as the functional and technical owner of the financial planning platform (Pigment), leading

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As Director of Marketing Analytics, you'll lead a team that transforms data into insights and drives decisions and strategy across our marketing channels. You'll own measurement and analytics for paid media, digital, partners, and field campaigns—including attribution modeling, ROI optimization, and emerging AI capabilities. What You'll Do Lead and develop a team of analysts; establish best practices and build team capability Own attribution modeling and full-funnel measurement across all marketing channels Take the insights and translate data into actionable insights for marketing leaders across the business. Drive paid and organic digital acquisition strategy through CAC, ROAS, and LTV analysis Build and maintain self-service dashboards in Tableau for demand gen, digital, field, events, and field marketing teams Implement AI/ML capabilities for predictive modeling and automated insights Support marketing experiments with rigorous testing and statistical validation Create forecasts and scenario models to inform annual budget planning Partner cross-functionally with Sales, Marketing Leadership, and Data teams on strategy and QBRs Partner with Marketing Data Operations team to maintain data quality across martech systems Stay current with analytics tools and methods to drive competitive advantage What We're Looking For Experience: 12+ years in Marketing, Analytics, Operations, or BI in B2B SaaS 5+ years managing and developing analytics

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Corporate Accounting team is responsible for delivering timely and accurate financial reports, maintaining accounting policies, ensuring compliance across the company, and building best-in-class month-end processes - all while partnering with teams across the company. As a Senior Accountant, you'll own key areas of our monthly and quarterly close and take a lead role in designing and maintaining scalable procedures, policies, and internal controls to ensure compliance with US GAAP. We're an AI-forward team: we expect to continually re-think how we close, reconcile, and report using AI and automation rather than simply scaling manual effort. The ideal candidate is highly analytical, works independently, partners well across functions, and consistently meets deadlines while managing shifting priorities. We are currently hiring for two roles in the Corporate Accounting Team: Senior Accountant - General & Administrative Expense Accounting Own G&A cross-functional partnership, cash, corporate card, travel & expense, payroll & benefits accounting, intercompany and consolidations, with flux analysis and technical reporting for assigned areas. Scope may evolve as the team grows. Senior Accountant - Sales & Marketing Expense Accounting Own S&M partnership across functions, ASC 842 lease accounting, capitalized software, prepaids, fixed assets, intangibles & goodwill, and OPEX allocations, including flux review and reporting for your assigned scope. Scope may evolve as the