Data Science / Analytics / Gen AI Jobs

Position: Data Analysis Engineer Company: IMAGA Rate: up to $35/hour The project is a digital platform that provides manufacturers with the necessary resources for business growth, and customers with access to global manufacturing companies. Working conditions: project (from 1 year), full-time We are looking for an analytical engineer who will be responsible for the level of data transformation and creation of the "gold standard" of reporting in the company. You will work at the interface of data development and analysis, turning raw data into clean, well-modeled datasets that will help the entire company make better decisions. Main responsibilities: • Data Modeling: Designing, developing, and maintaining reliable data models (using DBT) that serve as the basis for all company reporting. Deep understanding of semantic modeling and data architecture for various fields. Pipeline Quality: In partnership with data processing engineers, optimize the loading and reliability processes of our data warehouse, as well as optimize queries. • Business Partnership: Work with analysts and stakeholders across the organization to transform complex business requirements into technical specifications. • Code Quality: Set standards for version control, CI/CD templates, and comprehensive testing (data quality control and unit tests). • Documentation: Maintain a high-quality data dictionary so that all company employees speak the same "data language". Requirements: • At least 3 years of experience in analytics, analytical engineering or data development. • Proven experience in creating and maintaining industrial data models, as well as converting raw data into clean, usable datasets. • Ability to write complex and productive SQL queries for data transformation and analysis. • Hands-on experience working with dbt for modeling and with GitHub for version control. • Experience working with cloud data warehouses such as Snowflake. • Experience in creating and maintaining dashboards in tools such as Looker, Tableau, or Power BI. • Experience in conducting data quality tests and participating in CI/CD processes. • The ability to understand business performance and translate stakeholder requirements into technical objectives. • The ability to clearly communicate technical concepts to stakeholders without a technical background. • Comfortable work at a fast pace and the ability to manage multiple priorities simultaneously. An important condition • Ready to work in the US time zone (Eastern Time / GMT-5). • English: from B2 Contact for feedback: @staff_eeva