Salesforce Analyst Jobs

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 SHOULD YOU ACCEPT THIS CHALLENGE… The GTM BI team at Pure Storage supports Revenue Operations across pipeline, forecasting, seller performance, and executive reporting — and we are at an inflection point. We are midway through a strategic migration to dbt as our transformation standard. Beyond that, our roadmap includes scalable automation frameworks, semantic business intelligence, and AI-enabled workflows that help surface insights with less manual effort. As a Senior Analytics Engineer, you will help drive that journey end-to-end. This role is grounded in modernization first: building scalable dbt foundations, improving quality and engineering standards, and enabling the team to operate more efficiently before scaling broader AI-enabled capabilities. You will partner closely with BI analysts, Sales Operations, Systems teams, and backend engineering partners to modernize how analytics is engineered, governed, and consumed across the organization. This role is for someone who wants to build — not maintain. WHAT YOU’LL DO… Lead and contribute hands-on to the team’s dbt and Snowflake modernization initiatives Build scalable semantic and metrics layers supporting GTM domains including pipeline, forecasting, quota, attainment, and seller performance Design and maintain robust ELT/ETL pipelines, orchestration workflows, and reusable business-facing datasets Build CI/CD, testing, observability, lineage, and data qualit

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

Capco Associate Talent Program – Houston January 2027 About the Team: Capco is a fully independent, global management and technology consultancy providing services to the Financial Services and Energy industries. For nearly 20 years we have combined innovative thinking with deep industry knowledge to deliver business consulting, digital transformation and technology services to our clients. Our collaborative and efficient approach helps clients reduce costs and manage risk and regulatory change while increasing revenues. We are thinkers, innovators, and disruptors. We are small enough to care but large enough to matter. We work in a fast-paced environment where we challenge and support one another. Individuality and ideation are encouraged. Our team strives to be trusted advisors to our clients. What is our Associate Talent Program? Our Associate Talent Program is designed for recent graduates. It starts with an intensive developmental training program to ensure that you have both the soft and hard skills to hit the ground running at a client site. Our program provides you with a strong foundation of consulting methodologies, enterprise technology standards, and personal brand development on which to build and see growth in your career within the Capco family. Examples of projects / roles include: User Experience and UI Center of Excellence: Join a team of UI experts as they work to standardize the user experience across 100 web applications at a leading secondary mortgage market player. Work closely with User Experience Designers and front-end Engineers to create a plethora of reusable components using leading web frameworks (Angular / React). Digital Transformation Initiative: Interact with a team of broad skillsets to build out an omnichannel wrapper over a core system. Engaging with a team of Designers, Business Analysts, front-end (Angular), back-end (Java), and Mobile(Android/iOS) Engineers to build out capabilities that enhance and expand the base functionali

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. The Lead Solution Architect is responsible for designing, building, and maintaining efficient and scalable Application architecture within an organization. They collaborate with various stakeholders to understand technical requirements, create robust solutions, and ensure the integrity, security, and performance of the application infrastructure. This includes having the strong ability to look around the corner at emerging technologies and advise senior leadership around the strategic technical vision for the domain. The Lead Architect role is crucial for organizations aiming to leverage effectively for strategic decision-making and operational efficiency. *This position can sit in multiple CVS locations to include remote. Accountabilities include: Define and execute architectural strategies aligned with project objectives. Lead and supervise architectural initiatives within assigned projects or areas. Develop architectural designs and solutions, ensuring adherence to standards and best practices Mentor and guide junior and senior architects in project-related tasks and skill development. Collaborate with cross-functional teams to deliver effective architectural solutions. Collaboration and Communication: Work closely with stakeholders, including business analysts, data engineers, IT teams, and management, to understand needs and drive alignment with bu

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Opportunity We are seeking a highly detail-oriented and analytical Sales Compensation Analyst to join our GTM Strategy and Incentive Design team. As a Sales Compensation Analyst, you will be the backbone of our sales incentive ecosystem. You aren't just "crunching numbers"—you are ensuring that our sales teams are motivated, paid accurately, and aligned with the company’s strategic goals. You will sit at the intersection of Finance and Sales Operations, acting as a trusted advisor who translates complex commission structures into actionable data. The ideal candidate possesses a blend of meticulous analytical rigor and the communication skills to explain a "pay-out" logic to our high performing sales force. What you’ll be doing Compensation Administration and Processing Manage the end-to-end monthly/quarterly commission cycle, ensuring accurate and timely payouts for the global sales force. Identify "bottlenecks" in the current pay

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! As our Senior People Analytics Manager, you’ll partner with cross-functional teams across the organisation to define and track key metrics, analyse people and business data, and turn complex insights into clear, actionable recommendations that shape people strategies and inform investment decisions. What you’ll be doing: Manage end-to-end analytics and reporting domain delivery, covering everything from data extraction and validation to dashboard creation and insight generation. Discover and implement opportunities to automate analytical processes and minimize manual effort. Help define primary metrics for the people team and set up robust tracking mechanisms. Collaborate with cross-functional partners (such as Finance, Sales, and People) to pinpoint analytical needs, gather required data, and evaluate metric performance. Synthesize complex data analyses into compelling stories for executive and senior leaders to drive strategic decisions. Serve as a technical advisor and subject-matter expert for the people team, enhancing data literacy across the function. Conduct both ad-hoc deep-dive analyses and maintain a regular reporting cadence. Partner with the Senior Director, Reward & Analytics to enhance data tooling, warehousing, and governance. Provide backup and support to the Workforce Planning team during peak workloads or periods of leave. Who you are: Strong background in data modelling, statistical analysis, and business intelligence (BI) and dashboarding tools. Proven ability to thrive in a fast-paced, dynamic environment and manage competing priorities effectively. Exceptional communication skills, with the ability to translate complex

About the role: Within the Global Channel Strategy and Operations Organization, you will drive operational excellence by serving as a critical bridge between business partners, internal stakeholders, and leadership. In this role, you will ensure seamless partner onboarding, deliver rapid case resolution, and analyze program workflows to optimize partner satisfaction. This high-impact role requires strong strategic thinking, resilient execution, and the ability to turn complex operational challenges into streamlined, scalable processes. What you’ll do? Strategic Workflow & Process Optimization: Responsible for case resolution for Partner Programs, uncover operational bottlenecks, and design proactive strategies to eliminate root-cause issues and reduce support volume working cross-functionally across Legal, Sales, Finance, and Product to secure rapid resolution. Content & Asset Operations Management: Oversee the lifecycle, governance, and distribution of internal enablement materials and partner-facing assets—ensuring documentation, program collateral, and operational resources are consistently updated, organized, and easily accessible where required. AI-Driven Data Analytics & Insights: Harness enterprise AI tools and analytical platforms to track key performance indicators (KPIs), perform root-cause analyses on case trends, and present actionable, data-backed recommendations directly to the Director, Partner Programs. Partner Lifecycle & Governance: Direct end-to-end New Partner Onboarding workflows, ensuring seamless implementation of regional approval matrices, legal contracts, and global governance protocols. Certification & Program Reporting: Establish and maintain real-time reporting architectures for Sales and Technical Certifications across the global ecosystem to measure partner capability and readiness. Financial & Operations Execution: Oversee Purchase Order (PO) creation, financial approvals, and fund distribution for Contr

About Us SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja , the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world. AI at SharkNinja At SharkNinja, we’re building an AI-native culture. We’re not waiting for the future; we’re creating it. Our people are expected to experiment boldly, adopt new tools, and continuously raise what’s possible to create meaningful impact for our consumers. If you believe the best way to do your job hasn’t been invented yet, you’ll fit right in. Note: This is a Pipeline Opening and Not Tied to A Specific Opening The AI Product Manager owns strategy, roadmap, and delivery for AI initiatives across the enterprise. This role translates business objectives into a clear prioritized backlog, collaborating with engineering teams and external partners to deliver impactful solutions that drive measurable business impact through revenue growth or new operational efficiencies. The Product Manager works closely with Global Data Product Management, including Data and MDM, to ensure AI products are built on trusted, standardized data foundations. The role requires strong judgment in application integrations and build vs. buy tradeoffs, balancing speed, cost, and enterprise standards. Key Responsibilities Area What You’ll Own Product Strategy & Vision Define a 3–9-month AI roadmap aligned to company strategic goals, with clear

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Marketing Analytics Lead at Anthropic, you will own how we measure marketing. You'll build and run a single measurement framework that shows how marketing activity turns into pipeline, revenue, and product usage, and you'll make that framework something marketers and executives actually use to make decisions. As our marketing programs grow across enterprise and product-led motions, your work will determine whether we invest in what works. In this role, you'll own the marketing measurement framework end to end: the metric definitions, the data models behind them, the dashboards that surface them, and the insights they produce. This is a hands-on individual contributor role; data science and data engineering will support you, but you'll do the core work yourself. You'll partner closely with field marketing, partner marketing, campaign marketing, finance, sales strategy, sales development, data science, and data engineering to align on definitions and keep the whole organization working from one view of the funnel. Key responsibilities Own the marketing measurement framework that connects marketing activity to pipeline, revenue, and product usage Set the direction for the framework and extend it to programs it doesn't cover yet Define marketing metrics clearly and get cross-functional teams to agree on definitions early Build and maintain the data models that power marketing reporting Develop dashboards that marketers and executives rely on in their weekly reviews Teach marketers and executives how the metrics work, and keep teaching as the metrics evolve Lead adoption of the framework so that both marketing and execu

Analytical Engineering Manager The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call. As an Analytical Engineering Manager, you lead a team of Analytical Engineers who own the data foundations for the business: the Gold layer, canonical metrics, certified dashboards, and semantic layer that make Asana's most important numbers trustworthy, and that make AI-powered self-serve through Claude and Databricks Genie actually work. You sit at the intersection of Data Engineering, Analytics, and Data Science, and you are accountable for whether business stakeholders trust the data in your team's domains and can answer their own questions without routing through your team. This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do and t he teams with which you partner . If you're interviewing for this role, your recruiter will shar e more about the in-office requirements . What you’ll achieve Lead, grow, and develop a team of Analytical Engineers: Own hiring, coaching, performance, and career growth, and set a high bar for data-model quality and stakeholder trust. Own the Gold layer and semantic-layer strategy across your team's domains (e.g. PLG, marketing, revenue, NPI/AWM): Your team is accountable for the curated data models, canonical metrics, dashboards, and Genie spaces the business depends on. Treat every recurring insight as a product with an owner, a cadence, and an SLA: Build a catalog of trusted, versioned data products instead of one-off rebuilds. Drive self-serve enablement: Prioritize the Gold tables, governed metric definitions, and metadata that make Claude + Databric

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. About the Role: We're looking for a Manager to own our renewal base analytics and bookings classification framework. This is a high-impact individual contributor role sitting within GTM FP&A, working at the intersection of finance, revenue operations, and go-to-market strategy. You'll bring deep Enterprise Software FP&A expertise to one of the company's most critical functions — renewal base health, multi-year forecasting, and bookings policy — shaping how we plan, compensate, and report on the business. What You'll Do: Renewal Base Ownership Own and maintain the renewal base model, producing reliable multi-year forecasts that inform company-level planning Set renewal base targets and quotas for annual planning cycles, partnering with Sales, RevOps, and Finance management to align on assumptions Define renewal base inputs for compensation planning, ensuring quota-setting methodology is consistent and defensible Serve as the primary point of escalation for renewal base discrepancies, investigating and resolving data or methodology issues raised by sales, CS, and finance stakeholders Bookings Policy & Classification Own the framework for how bookings are classified — new, expansion, or renewal — and ensure consistent application across the business Define and maintain bookings policy, including what constitutes a genuine new work

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Decagon’s Revenue Operations team is a multidisciplinary group of operators combining strategic thinking, analytical rigor, and high-velocity execution. Covering GTM-wide strategy, operations and analytics, we are proactive, data-driven partners to leadership – providing critical insights, driving operational efficiency, and getting things done. About the Role Decagon is looking for its first GTM Analytics Engineer to build the data infrastructure that our entire go-to-market organization runs on. You'll own turning that raw, messy data into clean, well-modeled tables that the rest of RevOps, sales leadership, and the exec team can actually build on. This is a true 0-to-1 role with support from the broader RevOps & GTM team: you'll design lots of data structures and modeling layers from the ground up, set the standards for how GTM data gets structured, and become the trusted person to answer "where does this number actually come from." In this role, you will Design and build the

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? The Research, Analytics & Data Science (RAD) team at Fin use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data — both big and small — to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you. Data Scientists in RAD partner with teams across R&D to help Fin make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin TX, San Francisco CA, NYC, Atlanta GA OR Denver CO About the role The GTM Intelligence team helps Cloudflare's go-to-market organization make faster, better decisions with trusted data. We work with Sales, Technical Sales, Services, Finance, and our central Data teams to make sure the people who sell, deploy, and support Cloudflare get consistent, reliable answers to the questions that matter most. We're looking for a Senior

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the team: We are a small but mighty team of three analytics engineers powering LangChain’s internal data infrastructure and analytics. We’re a full-stack team, meaning we work end-to-end across the data stack, from data ingestion to enabling self-serve agentic analytics. Learn more about what we’ve built so far here ! About the role: We are expanding our data team and looking for a analytics engineer to join us. We build products used by elite companies and over a million developers, and data plays a critical role in sharping our strategies and decision making. In this role you will help lay the foundation for business teams to diagnose issues, uncover opportunities, an