Enterprise Analytics And Reporting Manager Jobs

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. Discord is looking for a seasoned technical leader to join our Data team as a Staff Data Engineer. You will drive technical vision and strategy for our analytical data infrastructure which facilitates the transformation and semantic layer that powers clean, tested, well-documented datasets that the company can trust and self-serve from. The data your team builds won't just inform internal decisions, it will underpin the metrics we share with investors, partners, and the public, requiring exceptional rigor, auditability, and precision. This role works closely with Data Governance, Data Science, Product, Finance, and Engineering teams. This role reports to the Director of Data Engineering. What You'll Be Doing Define technical strategy and architectural direction for analytics data infrastructure, building and maintaining enterprise-scale curated datasets and data models Own the design and implementation of data governance programs end to end, by partnering with stakeholders and translating policy requirements into flexible and configurable infrastructure in partnership with Data Platform Engineering. Design and build sophisticated data abstractions and analytical frameworks using SQL, Python, and modern data stack technologies Develop data quality frameworks, monitoring, anomaly detection, and alerting at massive scale, with governance, lineage tracking, and change management rigor appropriate for externally reported numbers Drive adoption of consistent data modeling patterns, naming conventions, documentation norms, and metric governance standards across the data organization Lead cross-functional

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 Every business running on Stripe eventually asks the same questions: What's happening with my business? What does it mean for my company? How do I reconcile my books? And how do I get my Stripe data into my own systems and apps? This is all becoming even more important in the era of AI, where merchant’s agents need the right access to, and understanding of, Stripe’s data. The Data Products team exists to answer those questions — at any scale, for any business. We build the products that turn Stripe's rich transaction data into understanding and action: Sigma for deep SQL-powered analytics, Stripe Data Pipeline for delivering Stripe data directly into merchants' own warehouses and applications, and databases for surfacing the right insight, in context, right inside the Dashboard. Our users range from a founder running their first revenue report to an enterprise finance team reconciling millions of transactions across dozens of markets, to any agent working on a merchant’s behalf. What they all share is a need to trust their data, understand their business, and move fast. We make that possible. About the Role As the PM leading Data Products, you will own the product strategy and execution for Stripe's merchant-facing data portfolio — defining what it means for Stripe to be the best data platform for our merchants and agents. You'll set the direction across Sigma, SDP, and other data products, lead a team of PMs, and work closely with engineering, d

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Sr. Manager, Global Sales Business Partners (SBP) About the job We are seeking a Sr. Manager, Global Sales Business Partners (SBP) to drive the Sales Operations rhythms and strategic projects across Field Sales, Specialists, and Partners. Serving as a hands-on operational manager with high exposure to senior sales executives, you will champion a sales-first mindset, foster cross-functional collaboration, and drive operational excellence to accelerate growth. The ideal candidate is a hands-on builder with deep go-to-market (GTM) and Project Management knowledge, and enterprise-scale software/tech experience in sales strategy, planning, and operations. Success in this cross-functional role relies on building tight alignment with peer Sales Operations leaders, including Strategic Operations, Sales Compensation, GTM Analytics, and Enablement, as well as company-wide teams like HR, Finance, Marketing, and Product. Responsibil

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: At Airbnb, great support starts with great learning. The Community Support Training team builds the knowledge, skills, and experiences that empower our support workforce to show up for hosts and guests every day. As our Learning Tools Manager, you will own the learning technology stack that makes that learning possible (and the team that oversees it) — from our Learning Management System (LMS) to the simulation, authoring, and design tools that bring training to life. The Difference You Will Make: This is a high-impact, high-visibility role at a pivotal moment: we are embarking on an LMS transition over the next year, and you will lead that effort end-to-end. You will work at the intersection of learning strategy, product management, and enterprise technology — partnering closely with data &amp; analytics, engineering, and sourcing &amp; contracts teams to ensure Training’s tools are scalable, measurable, and beloved by learners. <span style="font-family: arial, helvetica, s

About the Company: Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions by building modern data architecture using cloud and open-source technologies. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Offices: New York | Dallas | San Francisco | Lima | Bengaluru. The role below is for our Bengaluru office. Why Join Sigmoid? Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle complex business problems and convert them into straightforward data solutions. You will work in a fast-paced, high-impact environment and help shape data, analytics, and AI-led transformation for leading global insurance enterprises. About the Role: Sigmoid is looking to board a Leader for our Insurance Consulting Practice who can bridge the gap between high-level strategy and granular operational reality. A true expert in the insurance space must understand the interconnectedness of insurance products, claims ecosystems, underwriting dynamics, customer journeys, regulatory requirements, and operational processes. In this role, you will drive strategic initiatives, foster innovation, and provide visionary direction to our insurance practice with a strong focus on insurance analytics and AI-led transformation. The role requires a strong portfolio leader responsible for managing strategic accounts across new business development and account growth, while partnering with senior client stakeholders to define analytics use cases across Data Engineering, Data Science, Product Engineering, and Consulting. Roles and Responsibilities: Strong understanding of Insurance sub sectors operating model, value drivers and underlying mechanics Insurance Operations - Ability to

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 mission of the People Analytics team is to improve Stripe’s performance by collecting data, measuring critical constructs, and generating insights that help Stripe attract, develop, and retain our most important asset: our Stripes. We are a team with diverse backgrounds across consulting, HR, and data-focused disciplines who are curious, passionate, and committed to using science and data to deliver high-value, precise outputs to our users. What you’ll do This role sits at the intersection of analytics and business partnership in equal measure. You will serve as the People Analytics Analyst and Business Partner to the People Partners supporting Stripe's International organization who look after our global sites across Core, Tech, and GTM functions. As the sole People Analytics team member based in Europe, you will be the first point of contact for International stakeholders and will need to operate with confidence and autonomy in that capacity. Responsibilities Serve as the primary analytics partner and single point of contact for People Partners and senior business leaders supporting Stripe's International organization Develop and present comprehensive analyses that shape how leaders understand and act on their organizations, including ad hoc requests requiring urgency and clear communication Design, build, and maintain analytics products and self-service tooling through Visier and AI-powered solutions Lead backend Visier platform a

Job Description Are you passionate about data analytics and helping large enterprises to leverage data to drive business success? If so, Sigmoid is seeking a dynamic and results-driven Sales Consultant to join our team. As a Presales consultant, you will play a pivotal role in engaging with prospective clients, understanding their unique challenges, and showcasing how our data analytics services can address their specific needs. Key Responsibilities Client Engagement: Build and maintain strong relationships with prospective clients by understanding their business objectives and challenges. Needs Analysis: Collaborate with clients to identify their data analytics needs and requirements and translate them into tailored solutions. Solution Presentation: Develop and deliver compelling presentations and demonstrations that showcase the value of our data analytics services in addressing client pain points. Technical Expertise: Leverage your deep understanding of data analytics technologies and methodologies to provide expert guidance to clients. Collaboration: Work closely with our Sales and Technical teams to ensure seamless transition from pre-sales to implementation. Customization: Identify opportunities for customization and optimization of ourservices to meet the unique requirements of the clients. Competitive Analysis: Stay up to date with industry trends and competitors' offerings to effectively position our services. Proposal Creation: Prepare detailed proposals, including scope, pricing, and timelines, in alignment with client needs. Knowledge Sharing: Keep the team informed about industry’s best practices, client feedback, and emerging trends. Qualifications Bachelor's degree in a related field (e.g., Business, Data Science, Computer Science) and MBA with Overall, 5-7 years of experience. Proven experience in a consulting role, preferably in data analytics. Strong understanding of data analytics technologies, tools, and methodologies. Strong exposure to Data Eng

Who we are About Stripe Stripe, LLC. 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. What you’ll do Responsibilities Support the Regional sales leaders with intelligence and insight to accelerate growth; Support the Sales Strategy and Operations colleagues by standardizing global and regional common process that is currently decentralized; Provide a deep dive into key performance metrics and drive deep understanding of business performance; Problem solve and provide structure analysis outcomes for complex sales operations challenges through data, analytics and insight; Identify new opportunities and areas of productivity efficiency gains for Regional sales leadership; Participate in projects defining go-to-market approaches, as well as in regular business and resource planning. Run analysis on key performance metrics, and provide relevant insights for managing the business; Oversee the implementation of enabling systems and tools, and work closely with internal systems teams; Prepare weekly senior leader forecast materials and provide ongoing updates on key business growth/metrics to leadership teams; and Manage bespoke projects and effectively manage stakeholders. Who you are Minimum requirements Must have a Bachelor's Degree or foreign equivalent degree in Business Administration, Finance, Economics, Management and Systems, or a related field, plus seven (7) years of related experience in Sales, Strategy, and Operations, of which at least five (5) years must be post-bachelor's progressive work experience. In the alternati

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 Growth Marketing is a team of performance-driven marketers and channel specialists. We partner closely with growth, creative, analytics and regional marketing to drive revenue through self-serve and sales motions. We work globally, across all Stripe offerings and with all company segments — from startups to the largest enterprises. What you'll do As a China Growth Marketer, you will own launching, proving out, and scaling paid media and growth marketing channels for the Chinese market. This is a 0-to-1 role: you'll identify the right channels, build the playbooks, and demonstrate what works before scaling investment. You'll work across paid channels native to China (WeChat, Baidu, Douyin, Xiaohongshu, Zhihu, Bilibili, and others), as well as broader growth marketing levers like web optimization, content distribution, and landing page localization for Chinese users. You will be the in-house expert on how to reach Chinese developers, founders, and business operators through digital channels, bringing deep knowledge of the local ecosystem, platform mechanics, regulatory environment, and user behavior. You'll partner cross-functionally with regional marketing, analytics, creative, product marketing, and sales to ensure paid media supports Stripe's growth objectives in China. Responsibilities Launch and scale paid media channels specific to the China market — including WeChat Ads, Baidu SEM, Douyin/Ocean Engine, Xiaohongshu, Zhihu, Bilibili, an

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 &amp; Strategy (F&amp;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&amp;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 &amp; 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

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 At its core, Stripe is a treasury company, and the Treasury Finance team is key to building the Global Payments and Treasury Network (GPTN). We collaborate closely with product, engineering, sales, and finance teams to create innovative solutions that enhance Stripe's financial capabilities. As part of Treasury Finance's AI and Quantitative Analytics team, you'll work at the intersection of finance, artificial intelligence, quantitative reasoning, and product development, building autonomous agents and intelligent solutions that enhance treasury capabilities and enable us to better serve and scale with the global economy. What you’ll do Within Treasury Finance AI and Quantitative Analytics, you'll leverage your finance, artificial intelligence (AI), and technical expertise to build intelligent solutions that enhance Stripe's treasury capabilities. You'll develop AI-powered tools and quantitative models, autonomous agents, and analytics that automate complex workflows and provide actionable insights. Working at the intersection of artificial intelligence, finance, and product development, you'll collaborate with engineering and finance teams to deploy cutting-edge AI applications that scale with Stripe's growth and support our mission of increasing the GDP of the internet. Responsibilities Apply your treasury and finance domain expertise to identify high-impact opportunities where AI can be integrated with quantitative tools to solve comp

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 Capital team is responsible for managing the end-to-end risk strategy for Stripe's lending product. The team is based in the US and Canada, and is composed of curious, driven, and analytical individuals who are passionate about using their skills to shape the future of Stripe. We partner closely with Stripe's engineering, data science, product, and servicing teams to leverage existing platforms, integrate industry best practices, and develop novel solutions to evaluate and manage credit risk. If you are interested in joining a fast-growing organization and applying your experience to shape the future of Stripe, we encourage you to apply. What you’ll do As a key member of the Capital team, you will have the opportunity to shape the future of Stripe's credit policy by driving meaningful changes to the risk and underwriting framework. You will leverage Stripe's vast data assets to formulate your recommendations and work closely with our partners and, where applicable, leverage third-party data. We are a small and lean team, which means you will have the autonomy and the responsibility to manage end-to-end risk initiatives. Responsibilities Architect and implement credit policies based on Stripe's proprietary data and selected industry data to target, price, and size capital products. Utilize your analytical and technical skills to provide credit risk recommendations, deliver insights, and support strategic business decisions. Collabor

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 Capital team is responsible for managing the end-to-end risk strategy for Stripe's lending product. The team is based in the US and Canada, and is composed of curious, driven, and analytical individuals who are passionate about using their skills to shape the future of Stripe. We partner closely with Stripe's engineering, data science, product, and servicing teams to leverage existing platforms, integrate industry best practices, and develop novel solutions to evaluate and manage credit risk. If you are interested in joining a fast-growing organization and applying your experience to shape the future of Stripe, we encourage you to apply. What you’ll do As a key member of the Capital team, you will have the opportunity to shape the future of Stripe's credit policy by driving meaningful changes to the risk and underwriting framework. You will leverage Stripe's vast data assets to formulate your recommendations and work closely with our partners and, where applicable, leverage third-party data. We are a small and lean team, which means you will have the autonomy and the responsibility to manage end-to-end risk initiatives. Responsibilities Architect and implement credit policies based on Stripe's proprietary data and selected industry data to target, price, and size capital products. Utilize your analytical and technical skills to provide credit risk recommendations, deliver insights, and support strategic business decisions. Collabor

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. Technical Lead – Data Engineering As a Technical Lead, you will be responsible in building a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels. This position reports to Engineering Manager. Responsibilities: Align Sigmoid with key Client initiatives Interface daily with customers across leading Fortune 500 companies to understand strategic requirements Connect with VP and Director level clients on a regular basis. Travel to client locations Ability to understand business requirements and tie them to technology solutions Facilitate in Technical Aspects Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies. Excellent experience in Application development and support, integration development and data management. Provide technical leadership and manage it day to day basis Guiding developers

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. Technical Lead – Data Engineering As a Technical Lead, you will be responsible in building a highly-scalable and extensible big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels. This position reports to Engineering Manager. Responsibilities: Align Sigmoid with key Client initiatives Interface daily with customers across leading Fortune 500 companies to understand strategic requirements Connect with VP and Director level clients on a regular basis. Travel to client locations Ability to understand business requirements and tie them to technology solutions Facilitate in Technical Aspects Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies. Excellent experience in Application development and support, integration development and data management. Provide technical leadership and manage it day to day basis Guiding developers