Analytics Engineer

Eximius.AI; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Eximius.AI seeks a data engineer to build, optimize, and maintain data pipelines for analytics and reporting, collaborating with data scientists, software engineers, and product teams to deliver scalable analytics solutions.

You will develop data models, dashboards, and reports that support product development and business strategies, ensuring data quality and consistency across sources. Documentation and adoption of modern analytics tools will be key to maintaining reliable outputs.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Information Technology, or a related field.
• Experience in data engineering, analytics, or a related role, preferably in the AI or software industry.
• Proficiency with SQL and data modeling techniques.
• Familiarity with data warehouses such as Snowflake, Redshift, or BigQuery.
• Knowledge of Python or R for data processing and analysis.
• Experience with Tableau, Looker, or Power BI preferred.
• Strong problem-solving skills and attention to detail.
• Ability to collaborate effectively in a team environment.

Responsibilities

• Develop, optimize, and maintain data pipelines for analytics and reporting.
• Collaborate with data scientists, software engineers, and product teams to understand requirements and deliver analytics solutions.
• Create and manage data models, dashboards, and reports supporting product development and business strategies.
• Ensure data quality, integrity, and consistency across multiple sources.
• Implement data validation, testing, and monitoring practices for reliable analytics outputs.
• Evaluate and apply modern analytics tools and techniques to improve data infrastructure.
• Document data processes, architectures, and standards for knowledge sharing and maintainability.

Skills

SQL

Data modeling

Data engineering

Analytics

Team collaboration

Problem solving

Python

R

Education

Bachelor's degree

Tools

Snowflake

Redshift

BigQuery

Tableau

Looker

Power BI

Job description

Description:

• Develop, optimize, and maintain data pipelines for analytics and reporting.
• Collaborate with data scientists, software engineers, and product teams to understand requirements and deliver analytics solutions.
• Create and manage data models, dashboards, and reports supporting product development and business strategies.
• Ensure data quality, integrity, and consistency across multiple sources.
• Implement data validation, testing, and monitoring practices for reliable analytics outputs.
• Evaluate and apply modern analytics tools and techniques to improve data infrastructure.
• Document data processes, architectures, and standards for knowledge sharing and maintainability.

Requirements:

• Bachelor’s degree in Data Science, Computer Science, Information Technology, or a related field.
• Experience in data engineering, analytics, or a related role, preferably in the AI or software industry.
• Proficiency with SQL and data modeling techniques.
• Familiarity with data warehouses such as Snowflake, Redshift, or BigQuery.
• Knowledge of Python or R for data processing and analysis.
• Experience with Tableau, Looker, or Power BI preferred.
• Strong problem-solving skills and attention to detail.
• Ability to collaborate effectively in a team environment.