1 billion jobs will be transformed by technology in the next decade, and companies have an urgent need to reskill their employees in the highest demand fields. Individuals have a growing need to reskill throughout their careers as industries, technologies, and models change for nearly every career.

Uplimit is an AI driven learning platform where anyone can learn the most in-demand skills and actually put them to work. Where leading organizations build technical skills at scale. It’s where industry-leading instructors show how they tackle real problems, with real methods. And where the perfect combination of teaching best practices, top practitioners, technology, and collective peer learning makes real growth accessible to us all.

About us

We're a cross functional team that worked across business, product, engineering and machine learning. We've combined over 20 years of experience working in education and have worked at Coursera, Google, Robinhood, Meta, Teach for America, Stanford, Snowflake, Palantir etc.

We're currently building the founding team. You will have a massive impact shaping the experience of the product from the ground up. Help us define the next generation of online education.

Uplimit is seeking a talented Analytics Engineer to join our growing team. As an Analytics Engineer, you will be responsible for designing, developing, and implementing data analytics solutions to drive business insights and decision-making. You will work closely with our team of engineers, data scientists, and business stakeholders to understand requirements and effectively deliver high-quality data solutions.

Responsibilities:

• Collaborate with cross-functional teams to define analytics requirements and deliver data-driven solutions.

• Design, develop, and maintain data pipelines, ETL processes, and data models.

• Build and optimize data integrations and transformations to support reporting and analytics needs.

• Implement data visualization tools to communicate insights and findings.

• Perform data quality checks and ensure data accuracy and integrity.

• Stay current on industry trends and best practices in data analytics and make recommendations for improvement.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field.

• Experience in data engineering, analytics engineering, or a related role.

• Proficiency in dbt, SQL, Python, and data visualization tools such as Metabase.

• Experience working with large datasets and complex data structures.

• Knowledge of data modeling, ETL processes, and data and ETL tools like Airbyte.