Analytics Engineer – Digital Media

Analytics Engineer – Digital Media (Remote, LATAM)

About Truelogic

Truelogic is a leading provider of nearshore staff augmentation services, headquartered in New York. For over two decades, we have delivered top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals. Our team of over 600 highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects.

By applying for this position, you're taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

This company is a leading publisher and distributor of audiobooks, producing and delivering a wide range of spoken-word content across fiction, nonfiction, educational, and entertainment categories. They partner with authors, publishers, and narrators to create high-quality audio experiences and distribute content through major digital platforms worldwide.

About the Role

This opportunity is ideal for a data professional who thrives at the intersection of analytics engineering, data modeling, and business intelligence. The role focuses on building scalable data solutions within a cloud-based environment, designing and optimizing data models, maintaining reliable pipelines, and ensuring high-quality analytics infrastructure. You will translate reporting needs into robust data architectures while supporting BI platforms, documentation standards, and data governance initiatives. Strong SQL expertise, cloud data warehouse experience, and a passion for analytics best practices are essential.

Key Responsibilities

• 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.

What We Offer

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive, requiring only a laptop and a reliable internet connection.
• Highly Competitive USD Pay: Earn excellent, market-leading compensation in USD.
• Paid Time Off: Policies ensure you have the chance to unwind and recharge.
• Work with Autonomy: Manage your time effectively, focusing on results.
• Work with Top American Companies: Grow your expertise on innovative, high-impact projects with industry-leading U.S. companies.

Why You’ll Like Working Here

• A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams.
• Diverse, Global Network: Connect with over 600 professionals in 25+ countries and collaborate with a multicultural team from Latin America.
• Team Up with Skilled Professionals: Join forces with seasoned experts in your field.