Senior Marketing Analyst

Who you are

• 5+ years of relevant experience, including 2+ years of hands-on experience in Marketing Analytics, with a focus on SaaS products preferred
• Very strong technical skills in SQL and BI tools. Proficiency in Python or R for experimentation and causal analysis is required
• Hands-on experience designing and analyzing experiments (A/B testing, geo-testing, or similar) and applying causal inference methods
• Hands-on experience integrating with ad platform APIs (Meta Ads, Google Ads, TikTok, or similar) and building or maintaining the data pipelines that feed from them
• Hands-on experience building or maintaining multi-touch attribution (MTA) models, and using causal inference methods to validate true channel impact against attribution output
• Proven ability to translate complex data into clear, actionable insights and communicate findings effectively to stakeholders
• Extreme attention to detail and a high standard for analytical deliverables
• Proactive mindset with the ability to operate independently and take ownership of initiatives
• Experience in a fast-paced startup or scale-up environment
• Familiarity with Git and version control practices
• Prior experience collaborating with senior marketing leadership
• Experience with Marketing Mix Modeling (MMM)
• Familiarity with Google Analytics, Google Ads and Meta BS

What the job involves

• The Senior Marketing Analyst plays a key role in driving our marketing efforts and connecting Marketing with Manychat's Analytics and Data organization
• In this role, you will report to the Business Analytics Lead and work closely with the Marketing, Analytics, Data, and Engineering teams
• You surface insights and solutions that align with business objectives and empower data-driven decision-making
• This role sits at the intersection of marketing analytics and analytics engineering
• Beyond reporting and dashboards, you'll design and run experiments, apply causal inference methods to isolate real marketing impact, and build and own the data pipelines that connect our ad platforms to the warehouse
• Design, run, and analyze experiments (A/B tests, geo-holdouts, incrementality tests) to measure the true impact of marketing spend and campaigns
• Apply causal inference methods to estimate channel and campaign impact from observational data, where running a clean experiment isn't feasible
• Own integrations with ad platforms (Meta, Google, TikTok, and similar), building and maintaining the data pipelines that bring campaign performance data into our warehouse
• Build and maintain multi-touch attribution models to understand how channels and touchpoints contribute across the customer journey, and validate them against incrementality and causal inference results
• Partner with Data Engineering on data modeling for marketing datasets, ensuring pipelines are accurate, reliable, and built to scale
• Run ad-hoc analyses, build dashboards, and surface actionable insights for Performance Marketing, SEO, lifecycle marketing, and product marketing teams
• Partner with Analytics and Marketing leadership to align priorities and contribute to cross-functional projects such as pricing and new product launches

Benefits

• An opportunity for rapid personal and professional growth
• Uncapped Commission + Equity
• Generous time off policy to balance your work and life, including paid parental leave
• Competitive medical, dental, and vision coverage for you and your dependents
• Annual wellness reimbursement
• Collaborative, transparent, and fun-loving office culture
• We pay for relevant conference tickets, training programs, courses, and any necessary literature