Growth Analytics Jobs

About Paytm Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Skills that will help you succeed in this role - 3–6 years of core Product Management experience, specifically within high-growth consumer or partner-facing product charters. - Proven track record in scaling products and owning KPI outcomes, preferably at new-age internet leaders (e.g., Zomato, Swiggy, Flipkart, Amazon, MMT or equivalent). - Strong preference for candidates with platform-thinking capabilities - those who can look beyond the immediate sprint to architect 1-year scalable roadmaps across multiple business verticals. - Must possess a 'data-first' mindset, with the ability to move beyond basic reporting to derive actionable insights - Hands-on experience with product analytics suites (e.g., Amplitude, Mixpanel, Google Analytics or Clevertap) and prevalent visualization tools - Candidates with hands-on experience of building Data Science, Machine Learning, AI native products to be preferred. - Hands-on experience in using AI tools or Agentic AI for wireframing, workflows, prototyping, documentation, data analysis & generating insights. Why join us A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average revenue per use by increasing the cross-sell opportunities solid 360 feedback from your peer teams on your support of their goals respect, that is earned, not demanded from your peers and manager. Compensation: If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving cons

FEQ427R261 Mission We are seeking a Sr. Manager, Solutions Architects (SAs) to lead our Intelligence Community (IC), Navy, Air Force and Space Force team. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that operates efficiently to help accelerate Databricks' market growth. The Impact You Will Have Alongside the Sales Director, you will set the vision and strategy for how this team will accelerate transformative outcomes for our IC and DoW customers You will hire, train, lead and grow the Solutions Architect team for a company in high-growth mode. Help your customers achieve exceptional success with Databricks and deliver substantial value to their businesses. You will maintain a robust hiring pipeline at all times. Establish relationships across the business to make your customers and team successful. Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs What We Look For Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals 5+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI). Alternatively, 5+ years of experience in mission-focused space impacting the IC or DoW from a technology perspective Trusted advisor to technical executives that guide strategic data infrastructure decisions. Lead a team through best prac

About Cubist: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role: Cubist is looking for a support engineer/quantitative developer who will work on a growing L2/L3 support team for quantitative trading systems, high‑frequency trading infrastructure, real time analytics, and research infrastructure. This role will require close collaboration with multiple teams at Cubist, including multiple Portfolio Manager (PM) teams, Central Research Technology, and Execution Services. The role offers career growth through the opportunity to work on the development of the underlying systems. Role/Responsibilities: Troubleshooting/resolution of quantitative trading systems and other live analytics processes System monitoring, including development of better processes and tools New feature development in Python/C++ Configuration and change management Onboarding assistance Requirements: 2+ years of professional support and/or software engineering experience Experience with trading systems support (co-located low-latency systems a strong plus) Fluency with C++, Python and SQL Familiarity with software delivery lifecycle and production deployment Cloud experience is a strong plus Team player and strong communicator

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Consumer Growth Experience Engineering (CGX) builds the platforms and end-to-end experiences that power Affirm’s consumer growth across push, email, app, and web. We own the core engagement surfaces and systems that help customers discover value, onboard seamlessly, and take confident next steps by using personalization, segmentation, and experimentation to deliver the right experience at the right moment. Our work sits at the intersection of product, analytics, design, platform, and growth. We focus on building scalable, reliable tooling and consumer experiences that enable rapid go-to-market, improve conversion and activation, and grow long-term customer value. If you’re excited about shaping high-impact consumer journeys, solving ambiguous growth problems, and turning strategy into measurable outcomes at scale, CGX is the team for you. What You'll Do You will be responsible for owning and delivering quarterly goals for your team, leading engineers through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support peers and stakeholders in the product development lifecycle by collaborating with product management, design, and analytics, participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology, or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” and on-call efforts. You will foster a culture of quality and ownership by setting or improving code review and design standards for your team, and advocating for them beyond

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Consumer Growth Experience Engineering (CGX) builds the platforms and end-to-end experiences that power Affirm’s consumer growth across push, email, app, and web. We own the core engagement surfaces and systems that help customers discover value, onboard seamlessly, and take confident next steps by using personalization, segmentation, and experimentation to deliver the right experience at the right moment. Our work sits at the intersection of product, analytics, design, platform, and growth. We focus on building scalable, reliable tooling and consumer experiences that enable rapid go-to-market, improve conversion and activation, and grow long-term customer value. If you’re excited about shaping high-impact consumer journeys, solving ambiguous growth problems, and turning strategy into measurable outcomes at scale, CGX is the team for you. What You'll Do You will be responsible for owning and delivering quarterly goals for your team, leading engineers through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support peers and stakeholders in the product development lifecycle by collaborating with product management, design, and analytics, participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology, or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” and on-call efforts. You will foster a culture of quality and ownership by setting or improving code review and design standards for your team, and advocating for them beyond

Join Artefact Belgium: Help our clients in their AI transformations Who We Are Artefact is a next-generation consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in AI applications to help clients achieve tangible business impact. Our Belgium office advises clients on their most pressing strategic challenges : from AI strategy and governance to digital transformation roadmaps and new business model design. Our inclusive and forward-thinking culture encourages creativity, collaboration, and professional growth. What You Will Do As a Senior Data Scientist specializing in the marketing domain, you will lead and conduct ambitious projects aimed at transforming clients through data. Your day-to-day responsibilities will include: Leading transformational projects: spearheading ambitious projects that utilize data to transform our clients’ operations and strategies. Developing data science solutions: creating innovative data science products and solutions for both clients and our internal data science team. Applying data science in marketing contexts: leveraging data science methodologies to enhance marketing analytics, customer segmentation, attribution modeling, and campaign optimization . Building client relationships: collaborating closely with your Consulting counterpart to understand client needs and strengthen relationships. Upskilling the team: contributing to the development of our data science team by sharing knowledge, mentoring junior Data Scientists, and promoting our work within other data departments. Ensuring quality deliverables: caring for team morale and ensuring that all missions are delivered to a high standard, providing feedback and support to less experienced team members. Optimising code: writing highly optimized code to advance Artefact’s internal toolbox and knowledge base. What you will learn with us: Real-World impact: deliver impactful projec

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 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 Paid Digital Marketing Manager, you'll be a key driver of paid digital marketing efforts supporting our inbound funnel, driving demand, and engaging key segments of users—designing, implementing, and optimizing scaled digital campaigns. You'll help create an uncommonly great paid program at Stripe through a relentless focus on user experience and channel optimization. In the role, you'll be the go-to expert on paid digital to support multiple segments and collaborate with a cross-functional team to deliver on marketing goals for those segments. Responsibilities Drive ideation, strategy, and execution of scaled paid campaigns to generate and accelerate sales pipeline and overall company revenue. Develop and manage testing agenda and media plans for the program. Drive growth across key metrics (Suspects, MQLs, SQOs, Signups, Go-lives, pipeline, revenue)—measure success, optimize against targets, and report on performance on a recurring cadence. Support Stripe in building and optimizing our paid program using knowledge of our users, how they use our products and data. You'll partner with various in

About Energy CX: Energy CX is redefining the energy brokerage industry as the fastest-growing player in the US. By bringing cutting-edge technology, advanced analytics, and innovative solutions, we are disrupting a space that has operated in the dark for too long. Why Energy CX? Opportunity to be a founding member of the New York office, playing a key role in shaping our NYC presence Recession proof industry Uncapped commission with competitive salary Entrepreneurial and ambitious culture with a great team oriented environment Fastest growing energy broker in the country Recognized by Fortune and Great Places to work US Named on Inc 5000’s list of America’s fastest growing companies On Target Earnings Year 1 -> $150,000 Year 2 -> $225,000 Year 3 -> $350,000 Year 4 -> $425,000 Year 5 -> $475,000 - $525,000+ The above figures are conservative estimates; commissions are uncapped, and accelerators and other incentives provide the opportunity to earn beyond these amounts. Year 1 and 2 OTEs are flexible and can be adjusted based on experience and overall fit. Title: Account Executive We are seeking New York-based Account Executives to work with the largest CRE firms and manufacturers in the country. While this role begins as a remote-first position, you will help anchor our local presence as we prepare to launch our New York City office by 2027. See below for more info on our in office policy. About this Job As a sales Account Executive, you will play a pivotal role in driving revenue growth by identifying new business opportunities, nurturing client relationships, and closing deals. We're seeking a dynamic AE who can build rapport with prospective clients and articulate a unique value proposition. If you thrive in a results-driven setting and have a passion for hunting down deals, this is the role for you. While leveraging any existing relationships is beneficial, be prepared to engage in proactive prospecting thr

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. Since 1841, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. Responsibilities and Requirements 该岗位作为外资企业（MNC）客户业务的整体负责人，聚焦在中国运营的外资企业客户（不包含金融机构 FI）。岗位的核心目标是推动外资企业客户的业务增长，包括前线销售、关键客户管理、团队带领、跨部门协同及长期战略合作构建。该岗位既承担销售结果，也负责整体客户战略、团队能力建设及交付质量把控，确保公司在 MNC 客群实现持续、健康、可规模化的业务增长。 This role serves as the overall Lead for multinational corporation (MNC) corporate clients operating in China (excluding financial institutions). The role focuses on driving revenue growth, key account expansion, frontline sales execution, team leadership, and cross‑functional coordination. It is responsible for both sales results and the broader client strategy, capability development, and delivery excellence to ensure sustainable and scalable growth within the MNC client segment. PRINCIPAL ACCOUNTABILITIES : 1. 外资企业客户销售与业务拓展（核心职责） Corporate MNC Sales & Business Development (Core Duty)** 负责外资企业（MNC）客户的新客户开发、需求洞察、方案推荐、商务沟通、谈判与签约、回款的完整销售流程。 深入理解外资企业在中国区、区域总部与全球总部之间的管理关系、决策机制与采购流程，持续挖掘新增业务机会。 聚焦中大型、集团型 MNC 客户，推动关键客户的稳定、可持续收入增长。 Lead full‑cycle sales for MNC corporate clients, including prospecting, opportunity identification, solution positioning, negotiations, contracting, and revenue collection. Develop deep understanding of MNC governance structures, purchasing processes, and China–regional–global decision frameworks to capture new business opportunities. Focus on mid‑to‑large scale MNC grou

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? 2-5 years: Data Engineer Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Experience working with business stakeholders either internally or externally Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Minimum of a bachelor's

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What you will be doing? As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data. Your responsibilities will include: Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms. Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions. Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions. Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing. Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics. What we are looking for? Proficiency in Python, SQL, and database management. Experience with Data Pipelines ETL, Cloud Services ( MS Azure, GCP preferred) , ML Modeling, Spark & Kafka. Proven problem-solving skills and a solution-oriented mindset. Excellent communication skills to collaborate effectively within teams and with stakeholders. Strong business acumen with an interest in business-facing roles. Adaptability and a start-up mentality to thrive in a dynamic environment. Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms. Successful ca

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 Join the Monetization Strategy & Operations team within the CFO organization as the Senior Analyst responsible for optimizing our foundational subscription offerings, Foundation and Forever. In this high-impact role, you will own operational initiatives that improve how our subscription business runs, translating business strategy into scalable Quote-to-Cash (QTC) processes while partnering across Product, IT, Finance, Sales, and Operations. You will serve as a key operational partner responsible for improving business processes, defining requirements for system enhancements, leveraging analytics to drive decision-making, and helping scale subscription growth through operational excellence. WHAT YOU'LL DO Own and continuously improve the operational lifecycle for our Foundation and Forever subscription offerings, identifying opportunities to streamline processes, accelerate feature delivery, and improve operational efficiency. Analyze renewal and operational workflows to identify bottlenecks, recommend improvements, and implement scalable solutions across the Quote-to-Cash lifecycle. Translate business needs into clear functional requirements by defining, documenting, and validating system enhancements in partnership with IT and engineering teams. Design, build, and maintain operational dashboards, KPIs, and reporting that provide actionable insights to leadership and drive data-informed decision making. Serve

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 Revenue and Financial Automation Sub-org within Revenue and Financial Automation: Billing. The Revenue and Financial Automation team at Stripe builds software tools that accelerate the economic and technological growth of global businesses by helping them operationalize their commercial relationships with customers. Our offerings include a billing platform, SaaS analytics, data services, and finance automation products that our customers creatively combine to support various revenue models. Team Matching: exact team matching for one of the subteams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here. What you'll do We're looking for engineers who want to build the distributed systems, APIs, and backend services that power Stripe's revenue and billing platform. You'll focus on API design and performance, service reliability, and distributed systems challenges, while collaborating across the stack to ship complete solutions for millions of businesses. Responsibilities Scope, architect, and lead technical projects to build and scale distributed backend systems and APIs Design, build, and maintain reliable, high-performance APIs and backend services Own service reliability, including setting performance targets and driving improvements across the stack Debug production issues across distributed services

Capco is a global technology and management consultancy specializing in driving digital transformation across the financial services and insurance industries. We deliver practical, innovative solutions that help our clients thrive in an increasingly complex and regulated environment. With offices in major financial centers worldwide, we combine deep industry expertise with cutting‑edge technology to create lasting impact. We are on an exciting growth journey across APAC, expanding geographically, increasing our headcount, and disrupting the consulting market with entrepreneurial, agile thinking. Now is the perfect time to join us and help shape the future of Wealth Management in Hong Kong. About Capco Market leaders across banking, capital markets, securities services, and wealth & asset management Deep expertise in digital transformation, regulatory change, data & analytics, business and finance transformation, and large‑scale technology change A culture built on entrepreneurship, collaboration, and thought leadership, focused on attracting and developing top-tier talent Role Overview As Wealth Management Lead you will be a senior consulting leader driving strategic transformation initiatives for leading wealth management clients in Hong Kong. This role goes beyond delivery: you will shape client agendas, act as a trusted advisor to senior executives, and lead complex transformation programs that span digital, operating model, regulatory, and technology change. You will play a key role in Capco’s growth within the Hong Kong wealth management market originating advisory work, building long-term client partnerships, and mentoring consulting teams while remaining hands-on in the design and execution of high-impact transformation programs. Key Responsibilities Market & Client Leadership Serve as a trusted advisor to C-suite and senior wealth management executives, providing strategic guidance on digital transformation, regulatory change, and future operatin

Who is Artefact? Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact. With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design. Main Responsibilities As a Senior Technical Consultant / Senior AI Engineer , you will lead the design and delivery of impactful AI and data solutions. You’ll combine hands-on engineering with client advisory, guiding multi-disciplinary teams from opportunity framing to production deployment. Own solution architecture & delivery: Define end-to-end architectures (data, ML/LLM, APIs, security), make build/buy decisions, and drive projects from PoC to production with reliability, observability, and cost in mind. Lead complex PoCs & pilots: Scope, prototype, and validate AI/ML use cases (incl. LLMs/GenAI, RAG, fine-tuning, evaluation) and convert successful pilots into scalable products. Advanced programming & modeling: Build, adapt, and evaluate ML/DL/LLM models using Python (PyTorch, TensorFlow, HuggingFace, LangChain/LlamaIndex), including prompt engineering, fine-tuning/LoRA, vector search, and safety/guardrails. Cloud & MLOps/LLMOps: Design and operate solutions on Azure, GCP, or AWS (CI/CD, containers, model serving, feature stores, vector DBs, monitoring, eval pipelines). Client advisory & stakeholder management: Translate business goals into technical roadmaps, present to senior stakeholders, manage risks and trade-offs, and ensure measurable business impact. Quality, se