Analytics and Pricing Analyst

Join Northstar Staffing Solutions Inc. as an Analytics and Pricing Analyst in beautiful San Francisco. In this dynamic role, you will leverage data analytics to drive pricing strategies and contribute to our business growth. Your analytical skills will help us understand market trends and optimize pricing models to enhance profitability.

Join SoFi as a Pricing Analyst in our Home Lending division, where your analytical skills will directly impact our pricing strategies and enhance our competitive position in the market. You will be responsible for analyzing market trends, providing insights, and supporting the pricing team in developing effective pricing models.The ideal candidate will possess strong quantitative skills, a keen eye for detail, and a passion for the financial services industry. You will work closely with cross-functional teams to ensure pricing accuracy and alignment with business objectives.

Okta secures digital identity for both AI and human users, building infrastructure that helps organizations adapt to new challenges. The company focuses on solving complex problems that have a real impact for its customers. The Pricing Strategy team partners with Product, Finance, Sales, and Operations to define how Okta packages, prices, and monetizes its products worldwide. This group blends strategy with analytics, using market trends and customer data to develop recommendations that influence executive decisions and field execution. Role overview The Principal Data Scientist, Pricing Strategy, reports to the Head of Pricing Strategy. This position leads analytics projects that shape pricing and packaging strategies across Okta’s product portfolio. The role combines quantitative analysis with strategic thinking, developing measurement methods, building and deploying models, and running test-and-learn programs to guide monetization. Collaboration with senior leaders in Product and Go-to-Market teams is essential, turning open-ended questions into actionable insights and scalable plans. What you will do Strategic Pricing Influence: Work with Product, Go-to-Market, and Finance leaders to shape pricing, packaging, and discount strategies using data-driven insights. Advanced Analytics and Modeling: Build and apply models and analytical frameworks to forecast pricing effects, predict customer behavior, and estimate revenue outcomes across regions and segments. Experimentation and Pilots: Design and evaluate pilots and test-and-learn initiatives for new pricing strategies, including defining success metrics and evaluation methods. Deep-Dive Insight Generation: Analyze large, complex datasets to uncover drivers of purchasing, discounting, retention, and monetization performance. Metrics and Dashboards: Develop dashboards and reports that clearly communicate findings to stakeholders. Location This position is based in Bellevue, Washington or San Francisco, California.

Join Mercury as a Senior Analyst focusing on Compensation and People Analytics. In this pivotal role, you will leverage data to understand compensation trends and provide insights that drive strategic decision-making. Your analytical skills will help shape our talent management strategies, ensuring our workforce is both competitive and engaged.

Role Overview New Relic, Inc. is growing its global team and looking for a Dynamic Pricing Manager based in San Francisco, California. This role sits within the Pricing Strategy and Monetization team, which shapes the company’s approach to pricing and commercial strategy. The team’s work supports New Relic’s mission to help businesses gain real-time insights into their systems and applications. What You Will Do Develop, implement, and manage pricing strategies that support New Relic’s business goals. Work closely with the Senior Director of Pricing Strategy and Monetization. Contribute to commercial plans that drive sustained growth. Collaborate with teams across the company to align pricing with product offerings and market needs. About New Relic New Relic’s platform gives businesses the tools to monitor and optimize complex systems. Teams use these observability solutions to identify, analyze, and resolve issues quickly, improving software and infrastructure performance. As the company expands globally, it continues to focus on helping customers succeed in an AI-driven world. Reporting Structure This position reports directly to the Senior Director of Pricing Strategy and Monetization.

About UsAt Sierra, we're on a mission to revolutionize customer experiences through cutting-edge AI technology. Headquartered in the vibrant city of San Francisco, we also have expanding offices in Atlanta, New York, London, France, Singapore, and Japan.Our core values—Trust, Customer Obsession, Craftsmanship, Intensity, and Family—are the bedrock of our culture. We strive to embody these principles in every aspect of our work.Our visionary co-founders, Bret Taylor and Clay Bavor, bring a wealth of experience from their illustrious careers at companies like Salesforce, Google, and Facebook, ensuring that Sierra is at the forefront of innovation.Your Role:We are seeking a dynamic Pricing Strategy and Operations Specialist to enhance our pricing team. In this role, you will collaborate closely with sales to craft compelling pricing proposals and ROI case studies for our customers. You'll also partner with product, marketing, and operations teams to shape our pricing and packaging strategies comprehensively.What You'll Bring:A minimum of 4 years of experience in consulting, banking, strategy, or business operations, with a preference for candidates who have a background in GTM operations within a startup, particularly in SaaS pricing.Proven experience in negotiating complex customer partnerships.Familiarity with sales cycles and the ability to navigate them effectively.A solid understanding of GTM operations driven by data-informed decision-making.A degree in Business Administration, Finance, or a related field, or equivalent professional experience.Bonus Qualifications:Experience in partnerships, business development, or value engineering roles is a plus.Familiarity with AI or conversational AI technologies.Experience in a fast-paced startup environment or 0-1 startup experience.

Join Upgrade as a Senior Director of Card Pricing, where you will lead strategic pricing initiatives for our credit card offerings. In this pivotal role, you will leverage your expertise to optimize pricing models and enhance customer value. Collaborate with cross-functional teams to drive profitability and market competitiveness.

Founded in 2007, Airbnb began with the vision of connecting people through unique stays and experiences. Today, we boast over 5 million hosts worldwide who have welcomed more than 2 billion guests. Our mission is to foster authentic connections between travelers and local communities.Join Our Community:As part of a dynamic team of data scientists, analysts, engineers, product managers, and designers, you will focus on enhancing pricing products for our hosts. You will collaborate closely with fellow data scientists within the Guest & Host Data Science organization to create models and tools that elevate the Airbnb marketplace for both guests and hosts.Your Impact:Your work will be pivotal in developing a pricing guidance system aimed at assisting hosts, as well as establishing methods to evaluate the impact of pricing feature launches. Key responsibilities include (1) partnering with product teams to refine pricing strategies for hosts, (2) creating foundational models for pricing recommendations that align with market demand, and (3) effectively communicating insights through data narratives that aid cross-functional decision-making for future pricing innovations.A Day in Your Role:Fostering strong relationships with cross-functional partners in Product, Engineering, and Analytics.Utilizing programming skills (Python, SQL, R) to model, simulate, and assess the impact of new pricing features.Analyzing data creatively to discern the varying effects of pricing feature launches and translating findings into actionable insights.Communicating discoveries and insights to leadership and partners in a clear, concise manner.

Join Grow Therapy as a Data Analyst II and contribute to our mission to enhance mental healthcare accessibility. In this pivotal role, you'll leverage data-driven insights to inform product strategies, support robust reporting, and drive impactful analyses. Collaborate with cross-functional teams to create dynamic dashboards, execute A/B testing, and present actionable insights in engaging formats. This role not only supports our Lives Covered product group but also offers an opportunity to work alongside a talented team of analysts, data scientists, and engineers in a vibrant San Francisco setting.

Join Our Mission to Empower Others: We’re Hiring! At GoFundMe, we pride ourselves on being the world’s largest platform dedicated to social good, connecting individuals and nonprofits to foster a supportive community. Since our inception in 2010, our collective efforts have raised over $40 billion to help people in need. We are committed to making it easy and secure for anyone to seek assistance and support meaningful causes. We are currently seeking a talented Staff Data Scientist specializing in Pricing to take the lead as a senior individual contributor. You will spearhead the scientific methods, strategic initiatives, experimentation, and AI implementation that drive pricing and yield optimization at GoFundMe. This pivotal role combines elements of economics, behavioral science, experimentation, and machine learning, directly influencing donation conversion rates, donation amounts, and overall donor experiences across our platform. Please note, candidates must be located in the San Francisco Bay Area, as this position requires in-office attendance three times a week. Your Role: End-to-End Ownership of Donation Pricing: Develop and implement analytical strategies, modeling frameworks, and key success metrics for pricing recommendations, balancing conversion rates, donation sizes, and long-term donor trust. Modeling Human Behavior: Utilize economic theories, behavioral science, and machine learning techniques to comprehend donor decision-making processes, assess elasticity, and forecast responses to alterations in product design. Leveraging Behavioral Signals: Analyze non-transactional behavioral signals (such as navigation patterns, hesitations, context, device usage, and timing) to identify shifts in intent and interaction patterns beyond direct transactions. Creating Adaptive Systems: Engineer models that evolve over time, integrating experimentation signals, feedback loops, and reinforcement learning concepts as needed. Leading Experimentation and Causal Learning: Collaborate with Product and Engineering teams to establish robust experimentation and measurement frameworks, ensuring that pricing and donation models maintain causal integrity and are safe for large-scale deployment. Incorporating External Data: Enhance behavioral models using external datasets (including macroeconomic indicators, seasonal trends, and regional signals) to gain deeper insights into donor behavior. Translating Insights into Action: Transform complex economic and behavioral analyses into actionable, deployable models.

Join Cloudflare as a Senior Director of Pricing and Monetization, where you will play a pivotal role in shaping our pricing strategies and driving revenue growth. In this hybrid position, you will lead a dynamic team focused on optimizing pricing structures and identifying new monetization opportunities to enhance our market position.Your expertise will help us to develop innovative pricing models that resonate with our customers and align with our business objectives. Collaborate with cross-functional teams to analyze market trends, customer feedback, and competitive pricing strategies to inform our decisions.

As the Director of Pricing Strategy at Asana, you will lead our efforts to develop and implement innovative pricing strategies that drive profitability and market share. You will collaborate with cross-functional teams, including marketing, sales, and product development, to analyze competitive pricing models and customer insights. Your strategic vision will be pivotal in setting the future direction of our pricing framework.

PagerDuty (NYSE:PD) stands at the forefront of Digital Operations Management. In a world that never sleeps, businesses of all sizes depend on PagerDuty to ensure an impeccable digital experience for their customers at all times. Our platform empowers teams to swiftly identify issues and seize opportunities in real time, effectively bringing together the right individuals to resolve problems promptly and prevent future occurrences. Over 13,000 organizations, including 60 of the Fortune 100, trust PagerDuty to thrive in their Digital Transformation, Cloud Migration, and DevOps Modernization initiatives. Our esteemed clientele features industry leaders such as GE, Cisco, Genentech, Electronic Arts, Cox Automotive, Netflix, Shopify, Zoom, DoorDash, and Lululemon, among others. As we rapidly expand our platform utilizing AI/ML and Automation, we are significantly increasing our engagement with Development, IT, Customer Service, Security, and various other teams across organizations.About the RoleWe are on the lookout for a Director of Pricing & Monetization who will spearhead the strategy and execution behind the packaging, pricing, and monetization of our Operations Cloud platform. This pivotal role is situated within our Product Development organization and reports directly to the VP of Product Strategy & Growth.This role emphasizes a product-first approach. You will apply the same meticulousness to pricing that a top-tier Product Manager applies to product development: fostering deep customer empathy, conducting structured experiments, establishing clear feature tiering frameworks, and maintaining a strong focus on measurable outcomes. You will serve as the vital link between Product, Sales, Finance, and Marketing, ensuring that our pricing strategies effectively translate into field execution and commercial success. This position encompasses the entire lifecycle, from recommendations through implementation to operationalization. You will be empowered to make critical decisions on deal desk, discounting, and promotions in real-time.The ideal candidate has substantial experience at the intersection of product management and monetization within a mature B2B SaaS environment. You have end-to-end ownership of packaging decisions, have developed monetization infrastructures, and possess the credibility to influence both product roadmaps and sales strategies.What You Will OwnProduct & MonetizationDefine and refine PagerDuty's packaging architecture, including tiers, feature placement, usage-based levers, and entitlement frameworks, in collaboration with Product and Engineering.Establish and oversee a monetization review process to ensure product teams incorporate pricing strategies into roadmap decisions from the outset.Lead the design and experimentation of SKUs: create frameworks for swiftly and safely developing, testing, and iterating on packaging changes.Own the monetization platform roadmap, encompassing usage tracking, entitlement management, and pricing strategy execution.

At Lyft, we are dedicated to creating connections and serving our community. We strive to foster a workplace culture where every team member feels a sense of belonging and can flourish. The Pricing team is pivotal to Lyft’s marketplace, responsible for setting prices for all rideshare services and spearheading new initiatives. The Dynamic Pricing & Offer Selection team focuses on determining optimal prices and ETAs in real-time, balancing supply and demand within our dual-sided marketplace to enhance both immediate and long-term customer conversion and retention. As an Applied Scientist with expertise in Machine Learning and Operations Research, you will create mathematical models and deploy algorithms that inform crucial pricing and ETA decisions. Your role will involve developing ML and optimization models and implementing scalable pipelines capable of handling millions of requests daily while addressing significant business challenges impacting marketplace dynamics and rider satisfaction. You will engage with a diverse range of real-world issues across optimization, prediction, machine learning, and inference, collaborating closely with colleagues and stakeholders across Pricing, including Product Managers, Engineers, and Analysts. We seek a candidate who thrives in a fast-paced, innovative environment and excels at balancing complexity with efficiency to transform real-world business challenges into dependable solutions, systems, and decision-making frameworks.

About the TeamThe Pricing Platform team is responsible for some of the most vital infrastructure within DoorDash's marketplace. Every dollar processed through pricing, fees, and incentives interacts with the systems that this team develops and maintains. Our domain sits at the crossroads of platform engineering, financial accuracy, and global product facilitation across DoorDash, Wolt, and Roo. This represents an opportunity to lead a team that has a significant impact on the company and to help establish the long-term foundation for pricing and incentives on a global scale.About the RoleWe are seeking an Engineering Manager to helm a high-impact platform team within our Growth organization, overseeing the infrastructure that drives pricing, fee calculations, and financial integrity for every order on our platform. This role encompasses core pricing systems, fee and incentive frameworks, and a multi-brand integration initiative involving DoorDash, Wolt, and Roo. As a technical leader, you will set the strategic direction for a senior backend team of over 10 engineers, collaborating closely with Machine Learning, Product, and Operations teams to shape the future of our pricing and financial infrastructure at scale.You’re excited about this opportunity because you will…Build and lead a high-performing backend/full-stack engineering teamEstablish the technical vision and roadmap for the Marketing Mega OSCollaborate with cross-functional teams to enhance marketing tools and automationIncorporate ML/AI solutions to facilitate targeted, scalable in-app experiences and communicationsPromote a culture of ownership, experimentation, and high engineering standardsWe’re excited about you because you have…B.S., M.S., or Ph.D. in Computer Science or a related discipline7+ years of professional experience in the industry2+ years of experience in engineering management (leading teams larger than 5)A proven record of building and scaling backend systems, tools, or distributed architecturesExcellent collaboration and communication abilities, particularly with cross-functional stakeholders

Join Checkr as a Senior Pricing Strategy Manager where you will play a pivotal role in shaping our pricing strategies to enhance our competitive edge. You will collaborate with cross-functional teams to analyze market trends, customer needs, and pricing models to drive profitability and growth.

Role Overview Stripe is hiring a Product Marketing Manager, Pricing. This role centers on shaping and executing pricing strategies that support Stripe’s product portfolio and customer engagement goals. The Product Marketing Manager will collaborate with teams across the company to study market trends, gather customer insights, and craft messaging that connects with Stripe’s audiences.

Join Astranis as a Total Rewards & Analytics Analyst, where you will play a crucial role in shaping our employee compensation and benefits strategies. You will leverage data insights to optimize our total rewards programs and ensure they align with our organizational goals.

Airtable is seeking a talented AI Analytics Engineer to join our dynamic marketing analytics team. In this role, you will leverage advanced analytics and machine learning techniques to derive insights from marketing data, drive strategic decisions, and optimize our marketing initiatives.

Join Airtable as an AI Analytics Engineer, where you'll play a pivotal role in transforming business insights through advanced data analytics and AI technologies. Collaborate with cross-functional teams to develop and implement data-driven solutions that enhance operational efficiency and decision-making processes.