Senior Marketing Data Analyst

Location: São Paulo, Brazil; hybrid

Company

hirify.global provides a customer engagement platform that helps brands deliver personalized experiences through cross-channel messaging, journey orchestration, and AI-powered decisioning.

What you will do

• Own and standardize top-of-funnel performance analysis across lead generation, conversion, and attribution.
• Define and maintain KPI frameworks, performance benchmarks, and dashboards for funnel performance.
• Partner with Business Intelligence to evolve attribution models and automate marketing-sourced attribution tracking.
• Analyze campaigns and build predictive performance models to support strategic forecasting across SEO, web, digital, events, customer, and lifecycle marketing.
• Reconcile Marketing systems with Salesforce to maintain data integrity and alignment.
• Partner with Finance, Business Intelligence, Business Systems, and GTM Operations, and maintain training documentation for processes and reporting standards.

Requirements

• 2–5+ years of experience in Marketing, Sales, or Revenue/Marketing Operations at a B2B SaaS or fintech company.
• Proficiency in SQL and Excel or Google Sheets, with strong knowledge of Snowflake and data warehousing concepts.
• Proficiency in Tableau or other data visualization tools; familiarity with Looker.
• Experience with Salesforce, Marketo, LeanData, and Outreach or similar sales and marketing automation platforms.
• Experience designing, launching, and maintaining KPI frameworks and dashboards.
• Strong written and verbal English communication skills are required. Exceptional problem-solving and cross-functional collaboration skills are also expected.

Culture & Benefits

• Hybrid work environment with a curated in-office experience focused on community and collaboration.
• Competitive compensation that may include equity, retirement plans, and an employee stock purchase plan.
• Flexible paid time off and comprehensive medical, dental, vision, life, and disability benefits.
• Fertility benefits, equal paid parental leave, and family services.
• Professional development through career pathing, learning platforms, and an annual learning stipend.
• Employee Resource Groups, volunteer opportunities, donation matching, and an inclusive collaborative culture.

Hiring process

• AI-assisted tools may be used to review applications, schedule and record interviews, and summarize interview notes.
• Recruiting teams remain responsible for hiring decisions throughout the process.