Business Analysis Manager Jobs

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge As GTM complexity grows across sales, Solution Engineering, forecasting, enablement, and execution, leaders need stronger visibility, reliable insights, and operational support to drive performance and execute strategic priorities. Your Mission GTM Business Partnership & Performance Partner with Sales, Solution Engineering, and GTM leaders to drive performance through data-driven insights. Support forecast reviews, pipeline inspections, MBRs, QBRs, and leadership reporting. Deliver KPI analysis, executive-ready insights, and follow-up on key actions and decisions. Solution Engineering Strategy & Operations Analyze SE capacity, productivity, engagement, and alignment to sales priorities. Evaluate SE impact on pipeline, deal progression, and strategic opportunities. Support planning, coverage models, and resource allocation decisions. Strategic Analysis & Decision Support Identify trends, risks, and opportunities across sales, pipeline, productivity, and capacity metrics. Build analyses to support territory planning, forecasting, segmentation, and GTM priorities. Translate complex data into acti

ROLE: MEDIA SPECIALIST TEAM: MEDIA LOCATION: TORONTO - HYBRID ONSITE 2X/WEEK COMPANY OVERVIEW At Salt Media , we're on a mission to earn the world's attention. As the media division of Salt XC, we're building a different kind of agency where media, commerce, creative, data and technology work as a single connected team. Our people combine strategic thinking with AI-powered tools, automation and advanced analytics to help some of North America's most recognized brands solve complex business challenges and drive measurable growth. We move quickly, challenge convention, and believe the best ideas come from curious people who are empowered to experiment. If you're looking to do career-defining work alongside smart, ambitious teammates in an environment that's shaping the future of media, we'd love to meet you. ROLE OVERVIEW The Media Specialist will work across an exciting mix of clients in the CPG, Retail & Banking industries providing day to day support to the wider media team, with a focus on implementation and reporting. You will need to be highly proficient in media implementation, reporting and analysis. This includes a strong understanding of Social Media platforms, Google Analytics and Google Ad Words. You will need to develop strong trust-based relationships with both the client and agency team members. CORE RESPONSIBILITIES Work directly with the Media Supervisor to heavily support implementation, optimization & reporting for all key clients Work directly with the Media Supervisor to assist with overall client planning & day to day client requests Work directly with all media vendors to book, implement and report on campaigns With direction from the Media Supervisor support the preparation, writing and presentation of integrated media plans, proposals and analysis that satisfy client objectives and that go beyond the brief Maintain stewardship and accountability of the media plan,

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. The New York Times is looking for a talented, experienced and versatile reporter to join our Business team to cover technology in Asia. The contest between the United States and China for technological supremacy – spanning artificial intelligence, semiconductors, robotics and other emerging fields – is one of the defining stories of our time. We are looking for a journalist who can break news from companies and governments across Asia and translate complex technical developments into clear and compelling journalism for a broad audience. A firm understanding of the geopolitical context to technology is necessary. China will be central to the beat, reflecting its importance to the region and the global economy. The ideal candidate is an energetic and determined beat reporter who thrives on competition and ambitious storytelling. The role calls for a rich mix of scoops, breaking news, analysis, explainers and enterprise reporting that reveals the forces reshaping technology, business and geopolitics. Although the reporting will begin in Asia, stories must draw wider global connections. The reporter will work closely with correspondents around the world and collaborate across Business, International, Breaking News, Video and Graphics, contributing to articles, live coverage, newsletters, audio, visual journalism and other formats. This role will be based in the APAC region; the location of the role will be discussed with the recruiter duri

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. The New York Times is looking for an experienced journalist to cover China. China’s transformation to geopolitical and economic colossus over the past several decades has bolstered its confidence at home and its influence abroad. Beijing has leveraged its might, both commercially and militarily, to redraw the terms of trade, security and diplomacy. Under Xi Jinping’s leadership, China has sought to offer a model of governance that challenges the liberal democratic order and the dominance of the United States. China is one of the biggest stories we cover, and one of the most challenging. It’s also one of the most exciting, a constantly changing and diverse country with few parallels on the planet. It touches nearly every major issue. Geopolitics. Demographics. Inequality. Climate Change. Trade. Technology. The role requires a strong writer with the ability to juggle breaking news, smart analysis and ambitious enterprise. We want someone eager to react quickly to news as necessary, but who is also able to write thoughtfully and deeply about important issues and events. We are looking for an entrepreneurial correspondent who can embrace the multitudes, to cover the news and the nuance. This position will be based in Beijing, China, or elsewhere in Asia. Main responsibilities: Demonstrate support and understanding of our values of journalistic independence and a strong commitment to our mission to seek the truth and help people under

About Us: Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com . The Role: We are seeking an innovative and experienced AI Architect to join our engineering leadership team. This is a strategic role that will be instrumental in designing and building the next generation of AI-powered features for our continuous testing platform. You will be responsible for architecting scalable and robust AI solutions that transform how our customers gain insights from their test data and production environments, and how they create tests. Responsibilities: Define AI Architecture: Lead the design and architecture of cutting-edge AI/ML solutions for new product offerings, ensuring scalability, performance, quality and reliability within a cloud-native environment. AI-Powered Insights (Test & Production): Architect AI systems to derive actionable insights from vast quantities of test run logs and analytics data. This includes identifying patterns, anomalies, and performance trends. Production Error Reporting Integration: Design AI solutions that integrate with our existing error reporting product to analyze production issues for mobile and web applications, providing deeper understanding and predictive capabilities. Unified Data Intelligence: Develop architectures for combining insights from both test runs and production data, creating a holistic view of application quality and user experience. Automated Failure Analysis & Remediation: Architect AI models and systems t

Opportunity Overview: We are seeking a Data Scientist to play a pivotal role in developing AI-driven healthcare enterprise applications. The ideal candidate will work with large datasets to uncover opportunities for product and process optimization. This role calls for hands-on experience in data modeling and solution optimization, along with a proven ability to deliver actionable, data-backed insights. Strong collaboration skills are essential, as you will partner with internal stakeholders and cross-functional teams to drive meaningful results. In our fast-paced environment, adaptability is key—your ability to pivot quickly and respond to business priorities will ensure you make the greatest possible impact. What you’ll do: Develop a deep understanding of business challenges and translate them into effective analytical solutions. Analyze complex datasets to uncover trends, patterns, and actionable insights that support strategic initiatives. Design, build, and maintain data models and reporting systems, leveraging both classical and modern machine learning and deep learning algorithms to enable robust analysis and informed decision-making. Evaluate and report on model performance and business impact, ensuring insights are clear, actionable, and effectively communicated. Proactively identify opportunities for product and process improvements using advanced analytics and machine learning techniques. Ensure accuracy and reliability of data-driven solutions through rigorous testing, validation, and continuous optimization. Stay ahead of industry trends by keeping up with emerging technologies and best practices in AI, machine learning, and healthcare analytics. ISMS roles and responsibilities: Fair understanding of Information Security practices. Align to the organization policies and procedures. Ensure to get updated with ISMS roles as assigned by the department/process heads. Required Qualifications: 4+ years of hands-on experience in Python with strong profic

About the Team The Analytics team is looking for Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash. About the Role Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. This is a rare operational and actionable data-driven experience. We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… As a senior Individual Contributor, mentor and influence junior Data Scientists in investigating complex issues and uncovering key drivers of our business Influence the Product and Operations roadmap by making actionable recommendations based on data Interface frequently with senior leadership to showcase your team’s work and tackle complex business problems Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses We're excited about you because you have… A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain 8+ years of experi

About the Team DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role We are seeking a highly motivated Senior/Staff Test Engineer to join our team. This individual will play a key role in the development and validation of our unmanned platforms at the system and component levels. The ideal candidate has a strong background in test development, test execution, and root cause analysis with a proven track record of collaboratively managing risk throughout a fast paced development process. You’re excited about this opportunity because you will… Run and monitor tests within our facility as well as at outside test labs. Collaborate with a tight knit team to identify and understand test failures. Be hands-on in developing test methods and equipment to uncover failures before they happen in the field. Find clarity through root cause analysis of lab and field failures and suggest design changes to prevent them. Use your creativity to create novel and scaled tests for autonomous systems. We’re excited about you because you have… A bachelors or advanced degree in a relevant engineering discipline. Mastery of test equipment such as environmental chambers, vibration tables, water testers, DAQs, etc.. Ability to bring order to complex test and development programs via clear technical communication and documentation. Experience designing and building testers and equipment. Ability to write Python scripts to automate

Overview: We are looking for a Senior Data Engineer with deep expertise in Lakehouse architecture, real-time data streaming, cloud data infrastructure, and microservices development on Azure Kubernetes Service (AKS). You will play a central role in designing and delivering next-generation data pipelines, BI solutions, AI/ML platforms, streaming APIs, and scalable microservices that power Guidepoint's research and analytics products. This is a high-impact, hands-on engineering role. You will work closely with data architects, data scientists, analysts, frontend engineers, QA, and DevOps teams to translate complex business requirements into scalable, reliable, and observable data systems. This is a Hybrid role from our Pune office. What You'll Do: Data Engineering & Lakehouse Design, build, and maintain ETL pipelines, data ingestion workflows, and table schemas on Azure Databricks to support BI, analytics, and AI/ML use cases Architect and optimize the Lakehouse using Delta Lake on Databricks, ensuring reliability, performance, and cost efficiency Build and support data pipelines from business applications such as Salesforce, NetSuite, and other enterprise systems Develop and maintain Knowledge Graph models, entity relationship structures, and NLP-based insight pipelines Maintain data governance, data privacy standards, and compliance best practices throughout the data lifecycle Perform root cause analysis on data and processes to identify opportunities for improvement Collaborate with data architects, scientists, and business consumers to populate and optimize the data warehouse for reporting and analytics Microservices & AKS Development Develop and support scalable web APIs and microservices using Python and Azure Platform Services Build new applications, services, and platforms; optimize existing solutions and refactor legacy components using modern, scalable architec

About the Role OpenAI’s Industrial Compute organization is responsible for ensuring our compute infrastructure scales efficiently to support millions of users and increasingly sophisticated AI models. We’re looking for a Data Scientist to partner closely with Capacity Systems Engineering, Infrastructure, Product, and Research to optimize inference capacity across our global GPU fleet. This role combines statistical modeling, large-scale data analysis, forecasting, and systems thinking to drive critical decisions around infrastructure investments, performance-efficiency trade-offs, and customer experience. You’ll transform complex operational data into actionable insights that directly influence how OpenAI allocates and scales one of the world’s largest AI compute environments. Key Responsibilities Build statistical and machine learning models to profile and improve GPU utilization, latency, throughput, and overall fleet efficiency. Develop forecasting models for inference demand across products, regions, and model families. Analyze production workloads to identify latency bottlenecks and capacity constraints, highlighting optimization opportunities. Partner with Capacity Systems Engineering to inform infrastructure planning and long-term GPU investment strategies. Design experiments and simulations to evaluate scheduling policies, serving strategies, and infrastructure tradeoffs. Build dashboards and operational metrics that enable leadership to make data-driven capacity decisions. Collaborate with Product, Research, Finance, and Infrastructure teams to align compute planning with business growth and model roadmaps. Communicate technical findings clearly to both engineering teams and executive leadership. Qualifications MS or PhD in Statistics, Computer Science, Operations Research, Applied Mathematics, Economics, or related quantitative discipline (or equivalent industry experience). 5+ years of experience working in the infrastructure data science space. Strong ex

About the team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. OpenAI for Government helps public-sector institutions use advanced AI responsibly to improve services and advance critical missions. The Partnerships team builds the external ecosystem and internal operating mechanisms required to deliver that work at scale. Role Summary We are seeking a Partnerships Operations Lead to build and run the operating foundation for OpenAI for Government’s Partnerships team. This person will serve as the operational connective tissue across the partner team, working closely with Account Directors, Solutions Architects, Revenue Operations, Deal Desk, and other cross-functional stakeholders to move opportunities from initial engagement through agreement and execution. They will help ensure a smooth handoff to Technical Success across accounts by establishing clear readiness criteria, capturing the right commercial and customer context, and aligning teams on partner roles, commitments, dependencies, and success outcomes. The ideal candidate is a true utility player who combines the relationship instincts of a growth oriented builder with the rigor of an exceptional business operator. They thrive in ambiguity, create processes that do not yet exist, and move fluidly between deal execution, workflow design, analysis, and cross-functional coordination. Key Responsibilities Own the end-to-end operating cadence for partner-sourced and partner-influenced opportunities, from intake and qualification through approvals, contracting, launch, and expansion. Build and continuously improve operating processes, standard procedures, stage gates, decision rights, and service expectations that make partner execution faster and more predictable. Operationalize new and existing government partner motions—including cloud providers, resellers, and sell-through models—by translating requirements that differ from standard commercial motions into clear work

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 Data Scientist to help build and scale our internal analytics capabilities. This is a foundational role where you’ll create dashboards, data models and insights to power business and product teams alike. You’ll collect requirements, define key metrics, and deliver insights directly to stakeholders. You'll define what success looks like across a technical, usage-based platform and turn ambiguous questions into analyses, forecasts, and experiments that shape Baseten’s product and strategy. RESPONSIBILITIES Build and maintain production-grade dbt models and dashboards across multiple functions with a focus on accuracy, simplicity and user experience. Define and instrument core metrics around ROI, product adoption, customer lifecycle, capacity, availability, revenue and costs. Ingest and transform raw data using tools like dbt, Airbyte, and BigQuery. Partner with Engineering, Finance, Marketing, and Sales teams to understand goals and translate them into data solutions REQUIREMENTS 5+ years of experience in analytics engineering, data analysis, analytics, data science or a related role Advanced SQL and dbt skills, with a record of building models, tests, semantic layers and lineage in a cloud data warehouse. Prior experience supporting complex cross-functional projects across GTM, Finance and Engineering across various stages of the customer journey. Experience building dashboards and self-serve analy

Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join our team… We’re a high-impact, collaborative Order to Cash Revenue team that sits at the intersection of key teams within GoDaddy (Finance, Accounting, and Technology). Our mission is to ensure accurate, timely, and compliant revenue recognition while optimizing the end-to-end Order-to-Cash process to support GoDaddy’s global financial operations and enable informed business decisions. We support innovation by bridging the gap between technical capabilities and accounting requirements, enabling our teams to make data-driven decisions with confidence. Join us to make an impact! What you’ll get to do… Contribute to month-end close by preparing journal entries, account reconciliations, and account analysis in a timely manner. Support global billing for corporate customers, and perform research on billing discrepancies. Identify and actively provide solutions for automation and process improvement while ensuring daily responsibilities are completed with detail, accuracy, and timeliness. Support audit activities by maintaining and improving SOX compliance for accounting functions and participating in SOX documentation and testing. Partner with Accounting, Engineering, and Finance stakeholders across the globe to support system implementations and improvements across ERP, billing and revenue systems. Your experience should include… 3-5 years of relevant accounting experience. Bachelor’s degree or equivalent experience in Accounting, Finance, or a related field. Foundational understanding of accounting theory, knowledge of US GAAP and willingnes

The Senior Technical Accountant owns some of Coder’s most complex accounting work, with a particular focus on technical revenue accounting, equity accounting, consolidated financial reporting, and quarterly Board and investor reporting. You’ll help us reach well-supported accounting conclusions, strengthen our policies, and bring rigor to areas that carry the most judgment and complexity. Reporting to the Controller, you’ll work closely with FP&A, Legal, Sales Operations, Product, Corporate Accounting, and our external auditors. You’ll lead key technical accounting workstreams, own Controllership’s external reporting deliverables, and help shape a broader technical accounting function as Coder grows across markets and legal entities. What you’ll do here Own the technical accounting analysis for complex revenue arrangements, including contract modifications, variable consideration, new product offerings, SSP considerations, and other non-routine transactions. Research and document accounting positions for complex transactions, translating FASB ASC guidance into clear, well-supported conclusions. Draft, maintain, and evolve Coder’s ASC 606 revenue recognition policy memo and related revenue playbook as our business, products, and contract structures change. Partner with Corporate Accounting on complex revenue matters that affect period-end reporting, helping ensure technical conclusions are applied consistently. Advise Finance, Legal, Sales Operations, and Product on the accounting implications of business decisions, contract structures, and new go-to-market offerings. Prepare and review quarterly stock-based compensation accounting, including journal entries, disclosures, and variance analysis. Prepare group financial statements, including consolidation and entity-level reporting, with consideration for a multinational legal entity structure. Own the preparation of Controllership’s quarterly reporting for the Board and investors, including financial results, key

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. As a Smart Manufacturing Product Owner at Micron Technology, Inc., you will be responsible to enable innovation and new frontier technology for Smart manufacturing to define, drive and deliver end to end smart manufacturing solution, coordinated across functions of the business. The team will look into applying industry-leading the best methodologies in automation, AI and machine learning to improve Micron’s product development, business and administrative processes across the company. You are joining a team where 'we' matter and hold high standards to achieve perfection. Key Responsibilities Lead the development and implementation of AI-driven Smart Manufacturing solutions to improve product yield, quality, test coverage, and system-level performance across Micron's semiconductor operations. Partner with Test Solutions Engineering, Product Engineering, Global Quality, and multi-functional collaborators to find opportunities and drive digital transformation initiatives. Collaborate with Data Scientists, Machine Learning Engineers, Solution Architects, and Data Engineers to define requirements, prioritize solutions, and deliver end-to-end projects. Translate business needs into detailed business requirements, user stories, acceptance criteria, and data requirements while ensuring alignment with enterprise standards and governance. Develop arguments for proposed solutions, including value quantification, analysis of return on investment and net present value, success metrics, and impl