• Function as analytics partner for a marketing team, building and scaling marketing reporting capabilities. These include sizing opportunities, establishing consistent tracking, KPIs, and dashboards, plus developing insights into campaign impact on milestones across the customer journey • Automate operating review deliverables to drive source of truth consistency and reduce cycle time • Enable key stakeholders on insights produced and provide data-driven recommendations to improve marketing efficiency, insights and impact • Continue evolving our analytical capabilities through partnership with Data Engineering to influence roadmap and development of datasets

• Drive growth in website traffic and product signups through collaboration with product and research on conversion rate optimization efforts, content distribution, and channel prioritization • Digital campaign management • Collaborate with team members on social media promotion aligned to broader campaigns • Email and lifecycle campaigns • Help communicate the value of Giving Compass products by developing clear messaging • Supporting monthly product launches and feature rollouts • Creating landing pages and product content - including visual elements • Work with product and research to run growth experiments across channels to improve Visitor → signup conversion, Signup → subscriber conversion, Engagement with product features • This includes A/B testing, Landing page optimization, Messaging tests, Campaign iteration • Work with both product and our internal research team to track and improve marketing performance by analyzing important data such as Website traffic, Conversion rates, Engagement metrics, Campaign performance

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Staff Marketing Data Analyst on the Data team, you will serve as the strategic analytics partner to our CMO and Demand Generation team. Your mandate is to increase Marketing-Sourced ARR and Enterprise Pipeline by turning demand generation into a measurable, optimizable revenue engine. This role sits at the intersection of Marketing, Sales, and Data, with a strong focus on enterprise and full-service growth. This is a rare opportunity to operate as a staff-level revenue partner with direct influence on marketing investment, sales conversion, and enterprise growth strategy. What you'll be doing - Drive analysis directly tied to Marketing-Sourced ARR and Enterprise Pipeline, ensuring marketing investments are measurable and defensible. - Leverage AI tools to accelerate revenue analysis, surface funnel insights, and increase experimentation velocity across Marketing and Sales. - Establish and refine attribution frameworks that connect campaigns to pipeline and closed-won revenue. - Analyze behavioral data across website journeys, campaign touchpoints, and qualification flows to identify high-intent enterprise signals. - Diagnose MQL to SQL to closed-won funnel performance and uncover structural pipeline leakage. - Partner with Sales leadership to analyze qualification patterns, call outcomes such as Gong insights, and conversion drivers. - Evaluate paid and organic channel performance based on incremental pipeline and ARR. - Turn organic and inbound traffic into qualified enterprise pipeline through segmentation and funnel optimization. - Shape and prioritize the marketing experimentation roadmap with a clear focus on measurable revenue impact. - Design and analyze statistically sound marketing and funnel experiments, balancing speed and business confidence. - Replace manual reporting with scalable data models and automated analyses using SQL and warehouse tooling. - Establish consistent metric definitions across Marketing and Sales to ensure durable alignment. Qualifications - Proven ownership of revenue-impacting analytics with direct influence on Marketing-Sourced ARR, Enterprise Pipeline, or CAC efficiency in a B2B SaaS environment. - AI-forward analytical practice with clear examples of using LLMs or automation to accelerate insight generation, improve funnel diagnostics, and scale experimentation. - Deep expertise in enterprise B2B funnels including MQL to SQL to closed-won conversion, pipeline leakage identification, and sales acceptance dynamics. - Strong attribution and measurement experience with the ability to design, refine, and defend attribution frameworks in conversations with senior marketing and revenue leaders. - Staff-level strategic influence with demonstrated experience challenging assumptions, reallocating budget based on ROI, and protecting marketing investment discipline. - Strong experimentation judgment with experience designing statistically sound marketing and funnel tests prioritized around revenue impact. - Automation-first systems mindset with advanced SQL proficiency and comfort working across warehouse modeling tools such as dbt, BI platforms, and Python or R. - Experience operating in complex B2B SaaS environments with enterprise sales motions, longer sales cycles, and tight alignment between Marketing and Sales.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Are you a Data Scientist/Data Analyst who thrives on tackling complex problems and using data to drive business impact? Do you enjoy doing detailed analysis to inform marketing strategy? Samsara is looking for a Senior Marketing Analytics Manager to join our Marketing Analytics and Data Science team. In this role, you’ll play a critical part in building our data science roadmap, developing predictive models, and refining AI-driven scripts to enhance account identification and enrichment. You’ll collaborate closely with Marketing, Sales, and Data Engineering teams to unlock insights, automate processes, and scale marketing intelligence through advanced analytics. We’re looking for someone who can balance strategic vision with execution, someone who’s comfortable coding, testing, and iterating while also influencing stakeholders and driving measurable impact. Our diverse team is growing, offering opportunities for continuous learning, career progression and the chance to shape the future of marketing data science at a high-growth company. This role is open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. In this role, you will: - Conduct detailed data analysis to inform marketing strategy, informing how we target prospects and optimize our marketing channel mix. - Design and evaluate marketing experiments to measure incremental impact, validate channel performance, and inform budget allocation decisions. - Support the development and evolution of our marketing attribution model and other measurement frameworks to better capture the influence of marketing across the customer journey. - Partner with cross-functional teams to identify opportunities to leverage AI and advanced analytics to improve marketing insights, automation, and decision-making. - Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Qualifications - M.S., or Bachelor's in Statistics, Computer Science, Math, Machine Learning, Economics or other related quantitative fields. - 5+ years of relevant data science or advanced analytics work experience and 5+ years of experience building advanced analytical models/analysis to inform strategy. - Advanced knowledge of marketing measurement (attribution, marketing mix modeling, lift studies) and has direct experience working in marketing and doing detailed analysis supporting marketing strategy. - Experience conducting and designing large scale experimentation processes from end-to-end, executing on incremental studies, and translating results into actionable business decisions. - Expertise in Tableau and/or similar platforms; expertise in coding languages and tools like Python, R and SQL - hands on coding experience is needed for this role. - Interest in applying emerging AI and machine learning techniques to enhance marketing analytics, automation, and decision-making. - Strong problem-solving, stakeholder management, critical thinking, and communication abilities. - Ability to manage multiple projects at the same time in a fast-paced business environment. - Strong innovative mindset that is comfortable taking nebulous problems and solving them end to end. Requirements - Experience working with cutting edge LLM tools, web scraping, third-party data providers, or AI-driven automation. - Experience analyzing B2B marketing strategies, channels and lifecycle identifying areas of opportunity and optimization. - Familiarity with web analytics, tracking platforms, CRM tools and cloud-based data pipelines. - Comfort working in an exploratory environment, testing and iterating on new data sources and methodologies. Benefits - Annual Base Salary: $119,000 — $180,000 USD. - Above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. - Flexible, employee-led remote model. - Professional development stipend. - Comprehensive health and parental leave plans.