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Data Analytics Partner Jobs

8,120 active opportunities · Updated for October 2026

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Explore current data analytics partner jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Mongodb
📍 United States• Full-time• From $151K/yr
1mo ago

We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle. This role can be based remotely in the United States. The Team The AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering. Candidate Profile We’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement. The right candidate for this role will have 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates 8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision Strong customer orientation and sound judgment in finding practical, high-leverage solutions Experience working with systems involving analytics, data pipelines, and metrics platforms Experience with AI tools development and enablement efforts Strong technical judgment, including the ability to evaluate t

mongodbawsazure
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Mongodb
📍 Alberta• Full-time• From C$191K/yr
1mo ago

We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle. This role can be based remotely in Canada. The Team The AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering. Candidate Profile We’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement. The right candidate for this role will have 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates 8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision Strong customer orientation and sound judgment in finding practical, high-leverage solutions Experience working with systems involving analytics, data pipelines, and metrics platforms Experience with AI tools development and enablement efforts Strong technical judgment, including the ability to evaluate tradeoffs, i

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Mongodb
📍 New York• Full-time• From $83K/yr
1mo ago

MongoDB is seeking a Business Operations & Strategy Senior Analyst to join a small, high-impact team working on some of the company’s most important strategic and financial priorities. You will work directly with senior leaders across finance, product, and analytics, including regular exposure to C-suite on high-stakes questions that shape how MongoDB scales. The scope spans strategic planning, business case development for new products, and partnerships with AWS, Google Cloud, etc.. This role is ideal for someone with strong analytical horsepower, structured thinking, and executive presence who wants meaningful ownership and direct visibility into major business decisions. This role is a hybrid / in-office role, with approximately two to three days per week in our New York City Office. Responsibilities Own high-priority strategic and operational initiatives that shape MongoDB’s growth, efficiency, and long-term scale Develop executive-facing business cases and recommendations for key product and infrastructure decisions, including scenario analysis and trade-off evaluation Manage vendor relationships and contract negotiations with hyperscalers (AWS, Google Cloud, Microsoft Azure) Partner with Finance, Product, and other cross-functional teams to evaluate business performance, surface key drivers, and translate ambiguous questions into structured analyses Build and refine gross margin analyses and forecasting frameworks across MongoDB’s core and emerging businesses Requirements 2-5 years of experience in business strategy and operations, preferably at least 2 years as a management consultant or at a data-driven product/technology company Outstanding problem-solving skills and the ability to structure ambiguous business questions into clear analyses and actionable recommendations Strong executive communication skills, with the ability to distill complex findings into concise, compelling narratives Advanced Excel and PowerPoint skills (or Google Suite

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M
1mo ago

MongoDB is seeking an Associate on the Pricing & Monetization team to own decisions on how we deliver products and drive sustainable revenue growth. In this role, you will sit at the intersection of product strategy, engineering, analytics, finance, and business operations, working closely with internal stakeholders to identify and translate ambiguous business problems into structured product recommendations. This position requires a driven self-starter with proven experience in building data-driven business cases, communicating complex recommendations to leadership, and operating cross-functionally to solve business problems. You take tasks from start to finish, are able to deliver value quickly, and enjoy working in a dynamic, fast-paced, and challenging environment. You are interested in both diving deep into product data and also extracting executive-level insights to drive strategic decision-making. This role can be based out of our Toronto office or remotely in the Toronto region. Responsibilities Lead pricing and packaging strategies for new product launches and for adjustments to existing offerings, including analyzing historical customer data, building business cases, and evaluating trade-offs Own complex financial and operational models (e.g. revenue, margin, customer cohorting, usage models) to quantify the impact of pricing and monetization decisions Partner with Finance, Engineer, Product Management, and GTM to develop and execute cohesive strategies that align with customer needs, product roadmap, and financial objectives Communicate strategic insights and recommendations to leadership Conduct competitive benchmarking to understand market dynamics and R&D investment opportunities Drive cross-functional execution to operationalize decisions around SKUs, billing, selling, tooling, and performance of product changes Collaborate with Engineering to understand infrastructure costs, technical dependencies, and architecture decisions, translatin

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Lyft
📍 San Francisco• Full-time• $128K – $160K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Lifecycle Growth Marketing team engages with millions of Lyft riders and drivers to drive preference and usage of Lyft. The team runs hundreds of acquisition, engagement, retention and resurrection experiments every year across email, push notifications, SMS and in-app messaging surfaces. We are data-driven in everything we do. We test and measure all of our communications and tailor experiences to be personalized and contextual by audience segment. In this role, you will work closely with Product, Engineering, Analytics, Data Science, and Marketing Operations to design, test and optimize incentive and non-incentive messages and experiences. Responsibilities: Own the lifecycle marketing strategy for your audience — define the channel mix, set the prioritization framework, and ensure every communication delivers clear value to the target user Build and manage an experimentation program that drives measurable impact — from ideation through results, with a clear point of view on what to test Partner with Engineering, Product, and Data Science to unlock new platform capabilities, influence roadmaps, and push beyond out-of-the-box tooling Own performance reporting — define metrics, experimentation setup, and share results and next steps with stakeholders and leadership Drive creative strategy — brief, review, and iterate on assets across email, push, SMS and in-app with a strong feedback loop with designers and copywriters Apply behavioral science frameworks to inform message sequencing, timing, and incentive design Experience: 6+ years in growth marketing. You've owned a full lifecycle marketing program from the ground up — not just executing campaigns, but building strategy from high-level goals and managing a prioritized roadmap Strong SQL skills required — you’re comfortabl

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Lyft
📍 New York• Full-time• $128K – $160K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Lifecycle Growth Marketing team engages with millions of Lyft riders and drivers to drive preference and usage of Lyft. The team runs hundreds of acquisition, engagement, retention and resurrection experiments every year across email, push notifications, SMS and in-app messaging surfaces. We are data-driven in everything we do. We test and measure all of our communications and tailor experiences to be personalized and contextual by audience segment. In this role, you will work closely with Product, Engineering, Analytics, Data Science, and Marketing Operations to design, test and optimize incentive and non-incentive messages and experiences. Responsibilities: Own the lifecycle marketing strategy for your audience — define the channel mix, set the prioritization framework, and ensure every communication delivers clear value to the target user Build and manage an experimentation program that drives measurable impact — from ideation through results, with a clear point of view on what to test Partner with Engineering, Product, and Data Science to unlock new platform capabilities, influence roadmaps, and push beyond out-of-the-box tooling Own performance reporting — define metrics, experimentation setup, and share results and next steps with stakeholders and leadership Drive creative strategy — brief, review, and iterate on assets across email, push, SMS and in-app with a strong feedback loop with designers and copywriters Apply behavioral science frameworks to inform message sequencing, timing, and incentive design Experience: 6+ years in growth marketing. You've owned a full lifecycle marketing program from the ground up — not just executing campaigns, but building strategy from high-level goals and managing a prioritized roadmap Strong SQL skills required — you’re comfortabl

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Lyft
📍 Mexico City• Full-time
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Luxury team builds rich and creative features that set the standard for the ride sharing industry. We are looking for a motivated software engineer to join us building features for Black, Black SUV, and other upmarket modes where quality is uncompromising, where we work on balancing and growing these unique marketplaces within the wider Lyft ecosystem and influencing driver behavior to facilitate highest-quality rides. Ownership is a key quality for this team; this person should be driven to track a project to successful completion and beyond, taking initiative to work with other teams and functions to ensure the code they write reaches users and drives impact. You'll collaborate with engineering, product, data science, analytics, and operations on programs that empower us to iterate quickly, delighting our passengers and drivers. Preferred applicants intend to work regularly from our CDMX office, where team members collaborate together in person. Responsibilities: Help establish roadmap and architecture based on technology and understanding of customer needs Write well-crafted, well-tested, readable, maintainable code Participate in code reviews to ensure code quality and distribute knowledge Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices Can help lead large projects from idea to positive execution Unblock, support and communicate with internal partners to achieve results Experience: Engineering industry experience Experience with object-oriented programming Experience in distributed systems Experience working with databases, relational or NoSQL Write clear, scalable and clear design documentation Design, build and improve a set of team owned components Please submit your resume in English.

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Lyft
📍 San Francisco• Full-time
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As an Engineering Manager on the Core Rider team, you will act as a critical technical leader in a highly visible area of the Rider Organization. Taking holistic ownership of our foundational systems and core rider functionality, you will be directly responsible for moving top-line business metrics and delivering a seamless rideshare experience. You will partner with multiple product managers, data scientists, and cross-functional teams to develop complex systems, define strategic roadmaps, scale the product and infrastructure that powers how millions of riders request and experience their rides every day. Responsibilities: Drive team execution, proactively resolve bottlenecks and make decisive trade-offs. Partner with cross-functional teams (Product, Design, Marketing, Science, and Analytics) to define the team's strategic direction. Translate high-level business goals into actionable projects. Own a team roadmap from conception to delivery, managing cross-team dependencies and mitigating risks. Maintain operational excellence through contributing to best practices for observability, reliability, and on-call processes. Ensure technical excellence through architecture reviews, tech debt management, and engineering guidance. Maintain team health by creating and refining team processes, fostering a supportive team culture, and managing resourcing. Develop team member careers by matching them with opportunities, setting clear expectations, and providing timely feedback. Build relationships across engineering teams to share learnings, align on standards, and identify collaboration opportunities. Serve as a dependable, high-bar interviewer and active participant in Lyft’s broader community. Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or a related field, or equivalent practic

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Lyft
📍 New York• Full-time
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As an Engineering Manager on the Core Rider team, you will act as a critical technical leader in a highly visible area of the Rider Organization. Taking holistic ownership of our foundational systems and core rider functionality, you will be directly responsible for moving top-line business metrics and delivering a seamless rideshare experience. You will partner with multiple product managers, data scientists, and cross-functional teams to develop complex systems, define strategic roadmaps, scale the product and infrastructure that powers how millions of riders request and experience their rides every day. Responsibilities: Drive team execution, proactively resolve bottlenecks and make decisive trade-offs. Partner with cross-functional teams (Product, Design, Marketing, Science, and Analytics) to define the team's strategic direction. Translate high-level business goals into actionable projects. Own a team roadmap from conception to delivery, managing cross-team dependencies and mitigating risks. Maintain operational excellence through contributing to best practices for observability, reliability, and on-call processes. Ensure technical excellence through architecture reviews, tech debt management, and engineering guidance. Maintain team health by creating and refining team processes, fostering a supportive team culture, and managing resourcing. Develop team member careers by matching them with opportunities, setting clear expectations, and providing timely feedback. Build relationships across engineering teams to share learnings, align on standards, and identify collaboration opportunities. Serve as a dependable, high-bar interviewer and active participant in Lyft’s broader community. Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or a related field, or equivalent practic

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Stripe
📍 Seattle• Full-time• Remote
1mo ago

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

REMOTEawsgitai
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Stripe
📍 Bengaluru• Full-time
1mo ago

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 We are building an elite team to drive financial insight and strategy at Stripe. The Finance & Strategy team brings understanding and predictability to Stripe’s financials, and we work together with our key business partners to accelerate long term growth for Stripe. What you’ll do Responsibilities Partner with F&S and Business Leaders to drive the long-term success of Stripe Work cross functionally to identify important strategy questions and answer them with data Build financial forecasts and targets, track performance, and understand deviations from actuals to drive strategy and operational rigor Gain deep knowledge and understanding of Stripe's business performance across geographies and user segments Define metrics and leading indicators of business performance and partner with the Analytics team to develop tools and dashboards to make these metrics widely accessible across Stripe Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 7–14 years of experience in a relevant analytical or finance role Intermediate (at a minimum) or advanced knowledge of SQL or Python is required - you must be well versed working with extremely large and complex datasets + extracting insights Experience with financial analysis, financial forecasting, BvA (vari

pythonsqlai
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OpenAI
📍 San Francisco• Full-time
1mo ago

About the Team The B2B Marketing team is responsible for helping businesses understand, adopt, and get value from OpenAI’s products. B2B marketing is a major and growing priority for OpenAI as we scale our work with companies, developers, and institutions around the world. About the Role Within B2B Marketing, Demand Generation builds the integrated, full-funnel engine that connects audience insights, content, field and digital experiences, paid media, lifecycle, and sales follow-through to qualified pipeline. We partner closely with Sales, Partnerships, Product Marketing, Communications, Creative, Web, RevOps, Analytics, and regional teams to create a cohesive customer experience and scale what works. We’re looking for a Senior Lifecycle Strategist to define how prospects and customers move through personalized, signal-driven journeys across the B2B lifecycle. You’ll own lifecycle strategy, audience and journey architecture, testing priorities, and performance recommendations while partnering closely with a Lifecycle Marketing Manager on build and delivery. Initially, the role will focus on prospect nurture, database activation, and sales handoff; over time, it will help expand our lifecycle capabilities across adoption, cross-sell, upsell, retention, and re-engagement. In this role, you will: Define the B2B lifecycle strategy, journey architecture, audience framework, communication principles, and roadmap across prospect and customer stages. Design nurture and activation programs that respond to fit, persona, segment, product interest, engagement, intent, and sales status rather than relying on one generic journey. Partner with RevOps, Data, Web, SDR, Sales, and Product teams to establish reliable triggers, scoring inputs, routing logic, suppression rules, exits, and service levels. Work closely with the Lifecycle Marketing Manager to translate strategy into clear program requirements, content needs, build plans, QA standards, and launch sequencing. Own the lifecyc

awsgitrest
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OpenAI
📍 San Francisco• Full-time
1mo ago

About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies. The Marketing Insights & Analytics team aims to understand the markets, audiences, behaviors, attitudes and needs to shape outreach strategies and inform product and business decisions. We’re the strategic partner that discovers insights, specifically: foundational understanding, marketing strategy, thought leadership, measurement and tracking. About the Role You will be the Market Research Lead that translates insights into actionable marketing plans and executions, drive business results, and orient the team towards strategic thinking to drive brand outcomes. This is critical as we hope to reach millions of users and businesses worldwide. This role can be based in San Francisco, CA or NYC, NY utilizing a hybrid work model (3 days per week in-office). In this role, you will: Play an integral part of Marketing and be a strategic partner to brand, product marketing, creative, product and beyond. Design, execute, and deliver high-impact research using mixed methods. Work on a diverse portfolio of business challenges - how do we reach the next billion people, how do we grow internationally, how do we position our suite of products, and how do we ship joy to our customers. Translate business questions into research plans. Translate data into clear, compelling narratives. Develop deep empathy for developers, builders, and technical decision-makers, understanding their workflows, motivations, and pain points across the lifecycle Shape go-to-market str

awsrestai
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. BUILD WHATS NEXT FOR AI AND DATA IN ASEAN This is not a typical product marketing role. At Snowflake, you’ll help shape how the ASEAN market understands, adopts, and accelerates the future of the AI Data Cloud. You’ll sit at the intersection of product marketing, technical evangelism, go-to-market strategy, and industry influence—bringing together customers, partners, sellers, and marketers around one of the most important technology shifts of our time. If you thrive on turning complex technology into market momentum, love being in front of customers and communities, and want to make a visible impact in one of the world’s most exciting growth regions, this role was built for you. WHY THIS ROLE IS EXCITING Snowflake is scaling fast, and ASEAN is a strategic growth market. In this role, you won’t just support the business—you’ll help define how Snowflake wins in-region. You’ll be the voice of Snowflake’s AI Data Cloud across the market, translating innovation into relevance for customers, shaping go-to-market strategy, and influencing adoption at scale. With more than 13,000 customers already using Snowflake to modernize data access, accelerate analytics, and unlock data-driven insight, you’ll help drive the next wave of growth powered by AI. WHAT YOU'LL DO Lead Snowflake’s P

aigorust
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is building the platform that teams rely on to make data useful, reliable, and ready for the age of AI. As customers shift from batch analytics to real-time systems and intelligent applications, streaming is becoming core to how data is produced, consumed, and acted upon. We are seeking a Senior Product Manager to lead Snowflake’s Streaming Platform. This role is at the center of the real-time data shift, defining how data in motion becomes data that teams can trust, analyze, and use to power AI-driven workflows. Streaming is the backbone for modern applications, operational analytics, and Agent to Agent pipelines. If you are passionate about distributed systems, care about craft, and want to work on problems that matter at massive scale, this is a rare opportunity to build something foundational. What You Will Do Product Vision: Own the product direction, strategy, and roadmap for Snowflake’s streaming capabilities. Execution: Translate complex customer problems into clear product bets and successfully shipped features. Engineering Partnership: Collaborate closely with engineering on system design, trade-offs, and execution. User Focus: Spend time with users to understand what is broken, what is missing, and what matters most. Design & GTM: Partner with desig

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