Analytics Engineer

• Conduct deep technical discovery and align AI/data initiatives with business objectives
• Architect scalable solutions across on-prem, cloud, and hybrid environments
• Deliver customized demos, workshops, and executive briefings
• Lead end-to-end POV deployments, including installation, configuration, and validation
• Troubleshoot performance, integration, and security issues during rollout
• Drive production adoption through documentation, enablement, and expansion planning
• Serve as the technical liaison between customers and internal Product/Engineering teams

Senior Solutions Engineer – Enterprise AI, Data Infrastructure

• Lead technical discovery with enterprise customers; translate business objectives (AI readiness, governance, compliance, cost/risk) into scalable solution architectures
• Deliver live demos, technical deep dives, and executive-level presentations tailored to diverse stakeholders
• Design and document deployment architectures across on-prem, cloud, and hybrid environments, outlining trade-offs and phased rollout strategies
• Own end-to-end proof-of-value engagements, including installation, configuration, integration, validation, and outcome measurement
• Troubleshoot deployment and performance issues; validate throughput, accuracy, and measurable business impact
• Drive transition from POV to production through documentation, knowledge transfer, and expansion planning
• Act as the technical voice of the customer, providing structured feedback to Product and Engineering teams

Senior Solutions Engineer – AI Data, Unstructured Data Platforms

• Play a critical role in the design, implementation, and delivery of modern digital measurement and data solutions for customers
• Focus on implementing and managing digital analytics platforms, event tracking frameworks, customer data platforms, and data pipelines
• Work closely with marketing teams, engineers, and data stakeholders to ensure reliable, scalable, and accurate data collection across web and mobile platforms
• Take initiative, work well with little guidance, and enjoy solving complex technical problems
• Translate business and marketing requirements into scalable tracking and measurement architectures
• Communicate technical measurement concepts clearly to both technical teams and marketing stakeholders

Digital Analytics Engineer

• Design, develop, and maintain high-quality dashboards and reports in Power BI tailored to business needs.
• Perform efficient data queries and modeling in SQL and Databricks, ensuring data integrity and performance.
• Collaborate on data integration and governance processes across multiple data sources.
• Interact with sales, operations, and support teams to understand their processes and translate them into actionable BI solutions.
• Support automation and optimization initiatives for reporting to minimize operational overhead.
• Document data processes, business definitions, and reporting best practices.

Analytics Engineer jobs in Argentina

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Senior Solutions Engineer – Enterprise AI, Data Infrastructure

Senior Solutions Engineer – Enterprise AI, Data Infrastructure

Senior Solutions Engineer – AI Data, Unstructured Data Platforms

Digital Analytics Engineer

Senior Data Analyst, Engineer