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 • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound/warm insurance leads, consult customers on Property & Casualty needs, convert leads to policyholders. Complete paid licensing and 16–18 week training, work assigned shifts (including one weekend day), and meet performance and customer service expectations while working remotely under W@H requirements.
Aerospace • Artificial Intelligence • Computer Vision • Software • Analytics • Defense • Big Data Analytics
Lead feature-data engineering for basemaps: own technical roadmap, provide architecture for scalable geospatial/vector processing, remain hands-on in development and production support, mentor engineers, evaluate open-source geospatial tools, monitor AWS system health, coordinate cross-team dependencies, and promote AI-assisted development to improve productivity and quality.
Top Skills:
AWSCi/CdCloud Optimized GeotiffCoordinate Reference SystemsDockerDuckdb (Spatial)FlatgeobufGdal/OgrGeopackageGeoparquetJenkinsPostgisPostgresSpatial IndexingVector Tiles
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead design and governance of enterprise-scale data architecture (warehouses, lakehouses, streaming). Define standards for data quality, lineage, observability, and AI-enabled workflows. Mentor engineers, serve as technical escalation, and translate business needs into long-term data architecture and governance strategies.
Top Skills:
Data CatalogData PipelinesData WarehouseDbtFeature StoreGcp BigqueryLakehouseObservability/AlertingStreaming PlatformsVector Stores
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



.png)