Data Engineer, Business Intelligence

November 18

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In All Media

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SaaS • Enterprise • B2B

In All Media is a global community-driven service organization specializing in agile development services. The company focuses on developing digital solutions through a collaborative approach that leverages swarming intelligence and team dynamics. They are dedicated to aligning industry needs with the interests of their technical community members, who possess extensive experience in various domains such as UX/UI design, quality engineering, cloud computing, big data, Salesforce, and more. In All Media emphasizes a secure development environment and a strong collaborative spirit, striving for innovation and excellence in software production. Their model relies on pre-established teams with substantial past experience working together, ensuring efficient and effective delivery of customized development solutions.

1001 - 5000 employees

☁️ SaaS

🏢 Enterprise

🤝 B2B

📋 Description

• Hands-on role in building data models, analyzing large datasets, and translating insights into actionable recommendations for sales, operations, and customer analytics. • Utilize the core tech stack to perform data modeling, performance tracking, data cleaning, and KPI definition. • Proactively identify opportunities for process improvement based on data analysis and present findings as clear business intelligence. • Drive the identification, design, and piloting of high-value automation solutions and AI/agent use cases for client-facing teams (Sales, Client Success). • Participate in defining and maturing tools, standards, and governance for automation at scale in coordination with internal technical teams. • Contribute to a unified intake and prioritization process for automation requests, using an impact-scoring framework to align efforts with executive priorities. • Provide technical build and business analysis capacity to accelerate the execution of the automation roadmap.

🎯 Requirements

• Experience in a role focused on business process automation, data analysis, or similar technical consulting roles. • Strong proficiency in SQL for data querying, transformation, and modeling. • Proven hands-on experience utilizing Snowflake or similar cloud data warehouses. • Expertise in Data Warehousing concepts and handling large datasets. • Strong scripting experience in Python or similar languages for data manipulation, automation, or task scripting. • Experience defining and tracking KPIs and business performance metrics. • Proven ability to work proactively and independently, with a curious and entrepreneurial mindset. • Strong analytical, troubleshooting, and communication skills with the ability to translate technical findings into business insights. • Familiarity with intake, prioritization, and governance processes for tooling/automation requests. • Bachelor’s degree in Computer Science, Information Technology, Business Analytics, or a related field.

🏖️ Benefits

• 100% remote from LATAM • Collaboration aligned to U.S. Eastern Time (ET)