Have 6+ years of experience in marketing analytics, data science, or a related role.
Have significant experience with performance marketing and/or product-led growth.
Possess a deep understanding of marketing attribution, incrementality testing, and media mix modelling and how these approaches complement one another.
Be advanced in SQL.
Be proficient in at least one statistical programming language, particularly Python or R.
Have hands-on experience designing, running, and interpreting experiments across digital marketing channels.
Have experience working across channels such as search, social, display, email, and in-product marketing.
Have built or worked closely with media mix models and/or advanced attribution models.
Ideally have experience within a consumption-based or Backend-as-a-Service (BaaS) environment.
Have strong business acumen and understanding of growth metrics including CAC, LTV, payback period, conversion rates, and funnel performance.
Be capable of building scalable tools and frameworks that enable marketing teams to independently answer measurement questions.
Be comfortable working across both technical analysis and strategic business decision-making.
Use LLMs and other AI tools regularly and understand how they can improve analytical workflows.
Communicate complex causal and analytical concepts clearly to non-technical stakeholders.
Be comfortable working independently within an asynchronous and highly autonomous environment.
Be motivated by the opportunity to build a marketing measurement function from the ground up.
GK
This is a preview of the role
Sign in to your GoKazini account to see the company name, full job details, salary information, and how to apply.