Analytics Engineer

🕒 January 8

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

TRACTIAN

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏢 Enterprise

⚡ Energy

Enterprise • Industrial • Energy

TRACTIAN is a company specializing in Asset Performance Management, providing industry-leading solutions to ensure zero downtime for manufacturing plants. With products like Smart Trac Condition Monitoring & Auto Diagnosis and TracOS™ Maintenance Management Software, TRACTIAN enables plant managers to predict failures, avoid downtime, and manage assets efficiently. Their solutions also focus on energy efficiency, transforming energy consumption data into profit. TRACTIAN collaborates with industries such as automotive, mining, oil and gas, and pharmaceuticals, offering advanced insights and AI-powered diagnostics to enhance machine reliability and operational efficiency.

📋 Description

• Develop and maintain scalable data pipelines and ETL processes to transform raw data into usable formats. • Design, implement, and optimize data models to support reporting and analytical needs. • Collaborate with business stakeholders to understand business requirements and translate them into technical specifications. • Ensure data quality and consistency across various sources by implementing data validation and cleansing techniques. • Work with cloud-based data warehouses and analytics platforms to manage and store large datasets. • Monitor and troubleshoot data pipelines to ensure reliable and timely delivery of data. • Document data processes, workflows, and best practices to enhance team knowledge and efficiency. • Create dashboards as data products as internal or external products

🎯 Requirements

• B.S. in Computer Engineering, Data Science, Statistics, Computer Science, or a related field. • 2+ years of experience in Data Science or Analytics. • Strong understanding in SQL for data modeling and experience with database management systems such as PostgreSQL and Clickhouse. • Strong understanding of data warehousing concepts and experience with ETL tools (e.g., Airflow, dbt). • Experience with BI tools (e.g., PowerBi, Looker, Tableau) • Experience with cloud-based data platforms like AWS Redshift. • Experience with programming languages such as Python. • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.