[Remote] Data Analyst
Note: The job is a remote job and is open to candidates in USA. Dice is seeking an Analytics Engineer to build and maintain a trusted data foundation for data-informed decision-making. The role focuses on scalable data modeling, data transformation, ETL/ELT pipelines, governance, quality, documentation, and enabling reporting, machine learning, and AI initiatives.
Responsibilities
- Partner with business stakeholders to design, develop, and maintain scalable data warehouse models
- Implement modern data modeling practices to support analytics and reporting needs
- Clean, transform, validate, and enrich data to create high-quality datasets for analytics, reporting, and machine learning applications
- Develop and maintain efficient ETL/ELT pipelines
- Work closely with product teams, software engineers, data scientists, analysts, and business stakeholders to understand requirements and deliver data solutions
- Translate business needs into scalable and maintainable data models
- Ensure data accuracy, consistency, reliability, and accessibility across analytical datasets
- Support data governance initiatives and best practices
- Optimize data pipelines, transformations, and warehouse structures for performance and scalability
- Monitor and improve data processes to support growing business demands
- Maintain clear documentation of data models, transformation logic, lineage, and technical processes
Skills
- * This position is not open to sponsorship now or in the future.
- * Applicants must be authorized to work in the United States without employer sponsorship.
- * Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field
- * 3+ years of experience as an Analytics Engineer, Data Engineer, or a related data-focused role
- * Strong ability to collaborate with both technical and non-technical stakeholders
- * Experience gathering requirements and translating business objectives into technical solutions
- * Experience with modern cloud data warehouse platforms such as Snowflake, Redshift, or similar technologies
- * Strong understanding of data warehousing concepts and best practices
- * Experience with modern data modeling methodologies, including dimensional modeling
- * Advanced SQL skills
- * Working knowledge of Python for data processing and automation
- * Experience with ETL/ELT tools and frameworks such as dbt, Apache Airflow, Luigi, or similar technologies
- * Strong knowledge of relational databases such as PostgreSQL and MySQL
- * Familiarity with NoSQL databases such as MongoDB, Cassandra, or comparable platforms
- * Experience using Git and standard software development workflows
- * Understanding of machine learning concepts and experience preparing data for ML model development
- * Interest in emerging AI technologies, including Large Language Models (LLMs), generative AI, and prompt engineering
Benefits
- 10% Annual Bonus
- Fully Remote Work Environment
- Comprehensive Benefits Package
- Opportunity to work with modern cloud data technologies and AI-driven solutions
Company Overview