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 • Software
Provide technical customer support for the Fieldguide platform through email, phone, and chat. Troubleshoot and reproduce issues, collaborate with Engineering, guide customers through product features, support onboarding and retention, configure customer databases and templates, and maintain help documentation. The role also advocates for customer needs internally and contributes to beta feature feedback. This remote position requires working 9 a.m. to 6 p.m. GMT.
Top Skills:
MS Office
Artificial Intelligence • Software
Provide technical and product support to Fieldguide customers through email, phone, and chat. Troubleshoot platform issues, guide users on features and best practices, collaborate with Engineering, Product, and Design, support database setup and template creation, contribute to onboarding and retention, and maintain help documentation. The role requires a customer-focused, adaptable team player comfortable working remotely from 2pm to 11pm PT in a startup environment.
Top Skills:
MS Office
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
Lead operational reliability and platform enablement for Databricks: build monitoring, CI/CD, deployment standards, compute and job policies, observability, runbooks, and governance to support secure, cost-aware, production data workloads across regulated environments. Mentor engineers and align platform with cloud/infrastructure and compliance requirements.
Top Skills:
Ci/CdDatabricksDatabricks Asset BundlesDatabricks WorkflowsDelta LakeInfrastructure-As-CodeService PrincipalsUnity CatalogVersion Control (Git)
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
