{"schemaVersion":"jobsearcher.job.v1","id":"06cde2dfe3d54d2b05a3cd67","url":"https://jobsearcher.com/jobs/06cde2dfe3d54d2b05a3cd67","canonicalUrl":"https://jobsearcher.com/jobs/06cde2dfe3d54d2b05a3cd67","title":"Analyst, Media Analytics","description":"To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.\n\nJob Category\n\nMarketing & Communications\n\nJob Details\n\nAbout Salesforce\n\nSalesforce is the #1 AI CRM, where humans with agents drive customer success together. 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, driving innovation, and keeping Salesforce’s core values at the heart of it all.\n\nReady 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.\n\nOverview\nThe Media Intelligence team at Salesforce is seeking a highly analytical, technically skilled, and business-oriented Analyst to lead the Audience & Intent Analytics workstream. This role sits at the intersection of paid media, audience strategy, analytics engineering, dashboard development, and stakeholder enablement.\n\nThis individual will own the measurement framework and reporting ecosystem used to evaluate how audience targeting, segmentation, and intent strategies influence marketing performance across the funnel. The role expands Media Intelligence’s capabilities beyond traditional campaign reporting by helping the organization better understand who we target, why we target them, and how those audiences perform over time.\n\nThe ideal candidate is equal parts analyst, dashboard developer, strategist, and communicator — someone who can work comfortably across complex datasets, translate insights into actionable recommendations, and partner effectively with both technical and non-technical stakeholders.\n\nThis role requires strong Tableau and SQL skills, experience working with audience or intent data, comfort operating in ambiguous environments, and the ability to drive scalable analytics solutions that influence strategic decision‑making.\n\nWhat You’ll Do\nAudience Analytics & Performance Insights\nLead the Audience Analytics workstream within Media Intelligence, focused on measuring, analyzing, and optimizing how paid media audiences are defined, activated, and perform across the marketing funnel.\n\nResponsibilities include:\n\nAnalyze audience performance across regions, clouds, industries, segments, personas, and journey stages.\n\nDevelop measurement frameworks that connect audience membership and targeting strategies to downstream business outcomes such as responses, MQLs, pipeline, and revenue influence.\n\nEvaluate audience composition, saturation, engagement, and targeting effectiveness across paid media programs.\n\nConduct segmentation and cohort analyses to identify trends, opportunities, and optimization recommendations.\n\nSupport personalization and audience strategy initiatives through data‑driven insights.\n\nPartner with Paid Media, Audience Strategy, and regional stakeholders to evaluate targeting performance and refine segmentation approaches.\n\nTranslate complex analyses into clear, actionable business recommendations for marketing stakeholders and leadership.\n\nAudience Lifecycle Measurement\nOwn analytics related to the full audience lifecycle, including:\n\nAudience creation and onboarding\n\nAudience activation and deployment\n\nEngagement and performance measurement\n\nFunnel progression and downstream conversion analysis\n\nAudience optimization and refresh strategies\n\nKey areas of analysis may include:\n\nEngagement by audience segment or persona\n\nContent and channel effectiveness by audience\n\nAccount saturation and audience overlap analysis\n\nDeal size, velocity, and sales cycle characteristics by audience\n\nAudience contribution to pipeline and conversion outcomes\n\nThis work helps establish a closed‑loop measurement framework that continuously improves audience strategy and activation effectiveness.\n\nDemandbase Audience Workflows & Intent Data Strategy\nSupport the operational and analytical management of audience and intent platforms, including Demandbase and related tooling.\n\nResponsibilities include:\n\nSupport audience workflows and governance processes within Demandbase and related systems.\n\nPartner with stakeholders to operationalize intent data strategies and measurement approaches.\n\nAnalyze intent signal performance and audience engagement trends.\n\nEvaluate how intent‑based targeting impacts paid media effectiveness and downstream funnel performance.\n\nHelp define audience naming conventions, mapping standards, and reporting governance.\n\nCollaborate with technical teams to improve audience data accessibility and scalability.\n\nTableau Dashboard Development\nDesign, build, and enhance scalable Tableau dashboards and reporting experiences that enable stakeholders to explore audience insights independently.\n\nResponsibilities include:\n\nBuild intuitive, executive‑ready dashboards that surface actionable audience insights.\n\nDevelop dashboards segmented by:\n\nCloud\n\nIndustry\n\nRegion\n\nMacro‑segment\n\nPersona / Job Function\n\nJourney Stage\n\nCreate scalable reporting experiences that balance standardization with stakeholder flexibility.\n\nEnsure dashboards are performant, accurate, and aligned with business definitions.\n\nContinuously improve reporting usability, design, and stakeholder adoption.\n\nPartner with analytics engineers and data teams to improve underlying datasets and reporting infrastructure.\n\nData Modeling & Analytics Engineering Partnership\nCollaborate closely with Media Intelligence analytics engineers and data engineering teams to improve and scale audience analytics infrastructure.\n\nResponsibilities include:\n\nDefine business requirements for new datasets and dbt models.\n\nSupport development of automated audience‑performance data models.\n\nValidate data quality and business logic across reporting layers.\n\nReduce reliance on manual processes through scalable automation and standardized reporting logic.\n\nDocument metric definitions, transformations, and reporting methodologies.\n\nEnablement & Stakeholder Education\nDrive adoption, understanding, and self‑service usage of audience analytics tools and insights across Media Lab stakeholders.\n\nResponsibilities include:\n\nDeliver enablement sessions, walkthroughs, and training materials.\n\nCreate documentation and educational resources for dashboards, metrics, and audience methodologies.\n\nHelp stakeholders understand audience data nuances, targeting logic, and measurement frameworks.\n\nPartner with stakeholders to improve data literacy and reporting adoption.\n\nServe as a trusted analytics advisor to Paid Media, Audience Strategy, and Marketing teams.\n\nQualifications\nRequired Qualifications\n\n4+ years of experience in analytics, business intelligence, marketing analytics, audience analytics, or related fields.\n\nAdvanced Tableau dashboard development experience.\n\nStrong SQL skills and experience working with large‑scale datasets.\n\nExperience analyzing marketing, paid media, audience, or funnel performance data.\n\nStrong analytical thinking and problem‑solving skills.\n\nExperience translating complex data into actionable insights for business stakeholders.\n\nExcellent communication and stakeholder management skills.\n\nAbility to manage multiple projects and priorities in a fast‑paced environment.\n\nComfortable operating in highly cross‑functional environments.\n\nPreferred Qualifications\n\nExperience working in B2B SaaS or enterprise marketing environments.\n\nFamiliarity with audience platforms such as Demandbase, 6sense, LinkedIn Matched Audiences, or similar technologies.\n\nExperience with account‑based marketing (ABM) and intent data strategies.\n\nExperience with Snowflake, dbt, or modern analytics engineering workflows.\n\nUnderstanding of paid media performance metrics and marketing attribution concepts.\n\nExperience building scalable reporting frameworks and data governance processes.\n\nFamiliarity with Salesforce campaign and funnel data structures.\n\nWhat Success Looks Like\nSuccess in this role will be measured through:\n\nAdoption and usage of audience analytics dashboards across stakeholder groups.\n\nImproved visibility into audience composition, targeting effectiveness, and performance.\n\nIncreased ability to measure audience impact across funnel stages.\n\nReduction in manual audience reporting processes through automation and scalable data models.\n\nActionable insights that influence targeting strategies, segmentation decisions, and media optimization.\n\nStrong stakeholder trust, enablement, and cross‑functional partnership.\n\nAbout Media Intelligence\nThe Media Intelligence team enables paid media marketers with the data, reporting, insights, and measurement frameworks needed to optimize performance and drive business outcomes. The team operates at the intersection of analytics, data engineering, reporting and strategic consulting — partnering closely with Paid Media, Audience Strategy, Finance, and Data Engineering teams to power data‑driven decision‑making across global marketing programs.\n\nMedia Intelligence combines technical depth with business context, helping stakeholders move beyond reporting into actionable intelligence and optimization.\n\nUnleash Your Potential\n\nWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.\n\nAccommodations\n\nIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.\n\nPlease note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.\n\nPosting Statement\n\nSalesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.\n\nIn the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $75,000 - $113,500 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.\n\n#J-18808-Ljbffr","company":"Centaur Labs","rawCompany":"centaur labs","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-07-08T03:35:44.823Z","occupations":[{"code":"13-1161.00","title":"Market Research Analysts and Marketing Specialists","slug":"market-research-analysts-and-marketing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"516210","title":"Media Streaming Distribution Services, Social Networks, and Other Media Networks and Content Providers","slug":"media-streaming-distribution-services-social-networks-and-other-media-networks-and-content-providers"},{"code":"541810","title":"Advertising Agencies","slug":"advertising-agencies"},{"code":"541613","title":"Marketing Consulting Services","slug":"marketing-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Analyst, Media Analytics","description":"To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.\n\nJob Category\n\nMarketing & Communications\n\nJob Details\n\nAbout Salesforce\n\nSalesforce is the #1 AI CRM, where humans with agents drive customer success together. 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, driving innovation, and keeping Salesforce’s core values at the heart of it all.\n\nReady 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.\n\nOverview\nThe Media Intelligence team at Salesforce is seeking a highly analytical, technically skilled, and business-oriented Analyst to lead the Audience & Intent Analytics workstream. This role sits at the intersection of paid media, audience strategy, analytics engineering, dashboard development, and stakeholder enablement.\n\nThis individual will own the measurement framework and reporting ecosystem used to evaluate how audience targeting, segmentation, and intent strategies influence marketing performance across the funnel. The role expands Media Intelligence’s capabilities beyond traditional campaign reporting by helping the organization better understand who we target, why we target them, and how those audiences perform over time.\n\nThe ideal candidate is equal parts analyst, dashboard developer, strategist, and communicator — someone who can work comfortably across complex datasets, translate insights into actionable recommendations, and partner effectively with both technical and non-technical stakeholders.\n\nThis role requires strong Tableau and SQL skills, experience working with audience or intent data, comfort operating in ambiguous environments, and the ability to drive scalable analytics solutions that influence strategic decision‑making.\n\nWhat You’ll Do\nAudience Analytics & Performance Insights\nLead the Audience Analytics workstream within Media Intelligence, focused on measuring, analyzing, and optimizing how paid media audiences are defined, activated, and perform across the marketing funnel.\n\nResponsibilities include:\n\nAnalyze audience performance across regions, clouds, industries, segments, personas, and journey stages.\n\nDevelop measurement frameworks that connect audience membership and targeting strategies to downstream business outcomes such as responses, MQLs, pipeline, and revenue influence.\n\nEvaluate audience composition, saturation, engagement, and targeting effectiveness across paid media programs.\n\nConduct segmentation and cohort analyses to identify trends, opportunities, and optimization recommendations.\n\nSupport personalization and audience strategy initiatives through data‑driven insights.\n\nPartner with Paid Media, Audience Strategy, and regional stakeholders to evaluate targeting performance and refine segmentation approaches.\n\nTranslate complex analyses into clear, actionable business recommendations for marketing stakeholders and leadership.\n\nAudience Lifecycle Measurement\nOwn analytics related to the full audience lifecycle, including:\n\nAudience creation and onboarding\n\nAudience activation and deployment\n\nEngagement and performance measurement\n\nFunnel progression and downstream conversion analysis\n\nAudience optimization and refresh strategies\n\nKey areas of analysis may include:\n\nEngagement by audience segment or persona\n\nContent and channel effectiveness by audience\n\nAccount saturation and audience overlap analysis\n\nDeal size, velocity, and sales cycle characteristics by audience\n\nAudience contribution to pipeline and conversion outcomes\n\nThis work helps establish a closed‑loop measurement framework that continuously improves audience strategy and activation effectiveness.\n\nDemandbase Audience Workflows & Intent Data Strategy\nSupport the operational and analytical management of audience and intent platforms, including Demandbase and related tooling.\n\nResponsibilities include:\n\nSupport audience workflows and governance processes within Demandbase and related systems.\n\nPartner with stakeholders to operationalize intent data strategies and measurement approaches.\n\nAnalyze intent signal performance and audience engagement trends.\n\nEvaluate how intent‑based targeting impacts paid media effectiveness and downstream funnel performance.\n\nHelp define audience naming conventions, mapping standards, and reporting governance.\n\nCollaborate with technical teams to improve audience data accessibility and scalability.\n\nTableau Dashboard Development\nDesign, build, and enhance scalable Tableau dashboards and reporting experiences that enable stakeholders to explore audience insights independently.\n\nResponsibilities include:\n\nBuild intuitive, executive‑ready dashboards that surface actionable audience insights.\n\nDevelop dashboards segmented by:\n\nCloud\n\nIndustry\n\nRegion\n\nMacro‑segment\n\nPersona / Job Function\n\nJourney Stage\n\nCreate scalable reporting experiences that balance standardization with stakeholder flexibility.\n\nEnsure dashboards are performant, accurate, and aligned with business definitions.\n\nContinuously improve reporting usability, design, and stakeholder adoption.\n\nPartner with analytics engineers and data teams to improve underlying datasets and reporting infrastructure.\n\nData Modeling & Analytics Engineering Partnership\nCollaborate closely with Media Intelligence analytics engineers and data engineering teams to improve and scale audience analytics infrastructure.\n\nResponsibilities include:\n\nDefine business requirements for new datasets and dbt models.\n\nSupport development of automated audience‑performance data models.\n\nValidate data quality and business logic across reporting layers.\n\nReduce reliance on manual processes through scalable automation and standardized reporting logic.\n\nDocument metric definitions, transformations, and reporting methodologies.\n\nEnablement & Stakeholder Education\nDrive adoption, understanding, and self‑service usage of audience analytics tools and insights across Media Lab stakeholders.\n\nResponsibilities include:\n\nDeliver enablement sessions, walkthroughs, and training materials.\n\nCreate documentation and educational resources for dashboards, metrics, and audience methodologies.\n\nHelp stakeholders understand audience data nuances, targeting logic, and measurement frameworks.\n\nPartner with stakeholders to improve data literacy and reporting adoption.\n\nServe as a trusted analytics advisor to Paid Media, Audience Strategy, and Marketing teams.\n\nQualifications\nRequired Qualifications\n\n4+ years of experience in analytics, business intelligence, marketing analytics, audience analytics, or related fields.\n\nAdvanced Tableau dashboard development experience.\n\nStrong SQL skills and experience working with large‑scale datasets.\n\nExperience analyzing marketing, paid media, audience, or funnel performance data.\n\nStrong analytical thinking and problem‑solving skills.\n\nExperience translating complex data into actionable insights for business stakeholders.\n\nExcellent communication and stakeholder management skills.\n\nAbility to manage multiple projects and priorities in a fast‑paced environment.\n\nComfortable operating in highly cross‑functional environments.\n\nPreferred Qualifications\n\nExperience working in B2B SaaS or enterprise marketing environments.\n\nFamiliarity with audience platforms such as Demandbase, 6sense, LinkedIn Matched Audiences, or similar technologies.\n\nExperience with account‑based marketing (ABM) and intent data strategies.\n\nExperience with Snowflake, dbt, or modern analytics engineering workflows.\n\nUnderstanding of paid media performance metrics and marketing attribution concepts.\n\nExperience building scalable reporting frameworks and data governance processes.\n\nFamiliarity with Salesforce campaign and funnel data structures.\n\nWhat Success Looks Like\nSuccess in this role will be measured through:\n\nAdoption and usage of audience analytics dashboards across stakeholder groups.\n\nImproved visibility into audience composition, targeting effectiveness, and performance.\n\nIncreased ability to measure audience impact across funnel stages.\n\nReduction in manual audience reporting processes through automation and scalable data models.\n\nActionable insights that influence targeting strategies, segmentation decisions, and media optimization.\n\nStrong stakeholder trust, enablement, and cross‑functional partnership.\n\nAbout Media Intelligence\nThe Media Intelligence team enables paid media marketers with the data, reporting, insights, and measurement frameworks needed to optimize performance and drive business outcomes. The team operates at the intersection of analytics, data engineering, reporting and strategic consulting — partnering closely with Paid Media, Audience Strategy, Finance, and Data Engineering teams to power data‑driven decision‑making across global marketing programs.\n\nMedia Intelligence combines technical depth with business context, helping stakeholders move beyond reporting into actionable intelligence and optimization.\n\nUnleash Your Potential\n\nWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.\n\nAccommodations\n\nIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.\n\nPlease note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.\n\nPosting Statement\n\nSalesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.\n\nIn the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $75,000 - $113,500 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.\n\n#J-18808-Ljbffr","datePosted":"2026-07-08T03:35:44.823Z","dateModified":"2026-07-08T03:35:44.823Z","hiringOrganization":{"@type":"Organization","name":"Centaur Labs","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"06cde2dfe3d54d2b05a3cd67"},"url":"https://jobsearcher.com/jobs/06cde2dfe3d54d2b05a3cd67"}}