Analytics Engineer • Mid-Level

Who you are

You have a strong background in analytics engineering with experience in designing and maintaining scalable data models and transformations. Your expertise in SQL allows you to deliver clean, reliable business-ready datasets that drive decision-making across the organization. You understand the importance of data quality and governance, implementing checks and frameworks to ensure accuracy and consistency in data reporting.

You thrive in collaborative environments, working closely with data engineers to integrate new data sources and automate workflows. Your ability to translate business needs into robust analytical solutions makes you a key partner for stakeholders across various teams. You stay up to date with modern analytics engineering best practices, continuously improving tools and processes to enhance data architecture.

What you'll do

In this role, you will design, implement, and maintain scalable data models that support Kognity's mission of educational innovation. You will collaborate with data engineers to integrate new data sources and automate workflows, ensuring that data pipelines are reliable and high-performing. Your responsibilities will include developing and maintaining a semantic layer to standardize key metrics and definitions across the organization, which is crucial for consistent reporting and analysis.

You will implement data quality checks and testing frameworks to ensure that the data used for decision-making is accurate and consistent. Partnering with stakeholders across teams, you will translate their business needs into analytical and modeling solutions that drive impact. Your role will also involve continuously improving tools, processes, and architecture to keep pace with the evolving landscape of analytics engineering.

What we offer

At Kognity, you will be part of a high-performing team that values collaboration and innovation. We offer a dynamic work environment where you can shape the product vision and contribute to our AI-first transformation. You will have the opportunity to work with sharp, driven colleagues across product, engineering, and AI, all dedicated to making a difference in education.

We are committed to building a diverse and inclusive team, welcoming people of all backgrounds and experiences. Join us in our mission to change lives through education and technology.