Data Analyst • Mid-Level

Who you are

You have a strong background in data analysis, particularly in marketing metrics and measurement methodologies. Your experience with causal inference and econometric models allows you to provide insights that drive marketing effectiveness. You are proficient in SQL and have a solid understanding of tools like Google Analytics and Google Tag Manager, enabling you to analyze and interpret complex data sets effectively.

You thrive in a collaborative environment, working closely with product managers, economists, and engineers to design and implement experiments that measure the impact of marketing strategies. Your analytical mindset helps you identify trends and patterns in data, allowing you to make data-driven recommendations that optimize ad spend and improve ROI.

What you'll do

In this role, you will be responsible for developing and implementing measurement frameworks that assess the effectiveness of marketing campaigns. You will leverage your expertise in econometric modeling to run experiments that provide actionable insights for brands. Collaborating with cross-functional teams, you will design experiments, process data, and generate insights that inform marketing strategies.

You will also be tasked with analyzing large data sets to identify key performance indicators and trends that impact marketing effectiveness. Your ability to communicate complex data findings to non-technical stakeholders will be crucial in driving data-informed decision-making across the organization.

What we offer

At Haus Analytics, we foster an inclusive culture where diverse perspectives are valued. We offer competitive compensation and the opportunity to work with leading brands in the industry. Join us in our mission to optimize marketing spend and drive growth for our clients. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of diverse talent.