Analyze marketing data to create case studies, develop attribution models, evaluate campaign performance, and communicate insights to stakeholders.
Client seeking a Marketing Analyst related to Attribution.
Using the Marketing Data to create case studies on success and failure. They would analyze the data for accuracy and then use it with the marketing team to tell a story of how valuable the company and its services are. This is a primarily B2C type of Company.
Must work cross MT hours and prefer someone in the LATAM area as much of the team currently sits there.
Marketing Analyst – Attribution
We are seeking a Marketing Analyst with a strong focus on attribution to help us understand what drives growth in a B2C environment. This role will analyze and validate marketing data across channels, develop attribution models, and turn insights into compelling stories that demonstrate the value of our marketing efforts and services.
You will partner closely with the Marketing, Growth, and Analytics teams to evaluate campaign performance, identify opportunities for optimization, and create case studies that highlight both successes and learnings. This role requires strong analytical skills, business judgment, and the ability to communicate insights clearly to non-technical stakeholders.
The ideal candidate is comfortable working across time zones, with regular collaboration during Mountain Time hours. Preference is given to candidates based in LATAM, where much of the team is currently located.
The base pay range for this role is $1,500 – $2,200 per month.
Similar Jobs
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Lead strategy, roadmap, and execution for Coursera's authoring and content production tools. Define product requirements, collaborate cross-functionally (Engineering, Design, Data Science, Research, Content, Marketing, Support), monitor production/ingestion metrics, and drive AI-enabled authoring innovations to scale high-quality, career-aligned content.
Top Skills:
Adaptive LearningAi/MlAutomated Quality AssuranceContent Authoring ToolsData AnalyticsGenerative AiHypothesis TestingMultimodal Media ProcessingPersonalizationTranslation Technology
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead strategy, engineering, and lifecycle management for enterprise directory and machine identity platforms. Own Active Directory, Entra ID, PKI/CLM (e.g., Venafi), HSMs, hybrid identity integrations, automation/IaC, resilience, and governance while driving platform roadmaps, modernizations, and cross-functional IAM collaboration.
Top Skills:
Active DirectoryAPIsAzureCertificate Lifecycle ManagementDevsecopsDnsEntra IdGroup PolicyHsmIdentity FederationIdentity SynchronizationInfrastructure As Code (Iac)Microsoft Entra IdPkiSaaSScriptingVenafi
Biotech
Drive new client acquisition and revenue through high-volume lead outreach, sales strategy, CRM pipeline management, client pitches, stakeholder engagement, pricing analysis, and cross-functional collaboration to meet sales targets.
Top Skills:
Ai ToolsCRM
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center



