Analytics Engineer – Digital Media

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Truelogic Software

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2004

☁️ SaaS

🤝 B2B

🏢 Enterprise

SaaS • B2B • Enterprise

Truelogic Software is a nearshore software development company specializing in agile staff augmentation services. They focus on providing custom outsourced software development with a team of highly skilled engineers from Latin America. Truelogic Software partners with both startups and Fortune 500 companies, offering solutions that align with their clients' time zones and ensuring high-quality outcomes through collaboration and responsiveness. With a presence in over 25 countries, Truelogic emphasizes remote work for better quality of life, and their engineers are experienced in various industries, delivering a wide range of successful projects globally.

📋 Description

• Design, build, and maintain scalable data models in Amazon Redshift to support reporting, dashboards, and ad hoc analysis. • Collaborate with data engineering teams to expand and optimize the analytics warehouse architecture. • Establish and enforce standards for schema design, naming conventions, and data lineage. • Develop, maintain, and optimize data pipelines that deliver clean and reliable data to business users. • Partner with stakeholders to gather requirements and translate business needs into scalable data solutions. • Create and maintain comprehensive data documentation, including metrics definitions and transformation logic. • Support BI platforms by ensuring analytics-ready datasets and assisting with dashboard development. • Monitor data quality and implement testing, alerting, and validation processes to ensure warehouse reliability. • Identify opportunities to improve data accessibility, consistency, and usability across the organization. • Promote best practices in analytics engineering, including version control, code reviews, and reproducible workflows.

🎯 Requirements

• 2–4+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence, Analytics, or Data Science. • Strong SQL expertise with the ability to build efficient, scalable, and well-structured queries and data models. • Hands-on experience with cloud data warehouse technologies, preferably AWS and Amazon Redshift. • Proven ability to work directly with business stakeholders and translate reporting requirements into data architecture solutions. • Experience with, or strong interest in, dbt and version-controlled SQL transformation workflows. • Solid understanding of data modeling concepts, including dimensional modeling, star schemas, snowflake schemas, and slowly changing dimensions. • Experience creating and maintaining clear data documentation, metric definitions, and data catalogs. • Familiarity with BI tools such as AWS QuickSight, Tableau, Omni, or similar analytics platforms. • Experience with Git and version control best practices for managing SQL, pipelines, and documentation. • Strong problem-solving, communication, and analytical skills. • Python experience for data pipelines, automation, or data engineering workflows is a strong plus.

🏖️ Benefits

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection. • Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings. • Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed. • Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock. • Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.