AI Efficiency, Innovation & Automation Analyst

General Summary

Sony Pictures Entertainment is seeking a hands-on technically strong AI Automation & Innovation Analyst to join the LATAM Data Analytics & Business Insights team based in Bogota Colombia or Buenos Aires Argentina.

Reporting into the Head of Data Analytics this role will work closely with Analytics and Data Science team members and collaborate with stakeholders across all business lines to identify design build and operationalize applied AI automation and data-driven solutions that improve efficiency innovation and decision-making.

The role requires a practical full-stack profile capable of translating business needs into working prototypes internal tools dashboards automations and AI-enabled workflows. The analyst will connect front-end interfaces backend logic APIs workflow automation and AWS-based data warehouse assets to deliver functional end-to-end solutions.

This position will work directly with the companys data ecosystem including hands-on querying data preparation integration and application development using trusted AWS-based data assets. The analyst will also coordinate with Sony Cloud Operations DevOps Information Security and technology governance teams to support deployment readiness infrastructure alignment access controls documentation security reviews and compliance with internal technology standards.

The ideal candidate combines strong technical execution business curiosity agility and a practical innovation mindset. This is an individual contributor role.

Responsibilities

AI-Enabled Automation & Efficiency

Develop and implement automation solutions that streamline repetitive manual or time-consuming business processes. Build AI-enabled workflows using Python APIs workflow automation tools approved generative AI capabilities and cloud-based data assets to improve productivity speed consistency and decision-making.

Full-Stack Solution Development

Design and build end-to-end solutions including data ingestion backend logic APIs user interfaces dashboards lightweight web applications internal tools and deployment-ready prototypes.

AWS Data Warehouse & Data Integration

Work hands-on with the companys AWS-based data warehouse to query transform integrate and prepare data for AI automation and business-facing solutions. Develop reusable SQL queries data extracts backend logic and data workflows that connect internal data sources with applications dashboards automations and AI tools.

Analytics & Data Science Collaboration

Partner with Analytics and Data Science teams to understand analytical assets predictive models business logic reporting products and strategic priorities. Support the integration of analytics and model outputs into tools workflows dashboards and AI-enabled solutions.

Cloud DevOps & Information Security Coordination

Coordinate with Sony Cloud Operations DevOps Information Security and technology governance teams to support the approval deployment and operationalization of AI and automation solutions. Prepare technical documentation solution diagrams access requirements data flow descriptions and deployment information for internal reviews.

Applied AI Innovation

Identify and apply practical AI techniques to solve concrete business problems with emphasis on usability speed and measurable business value. Experiment with emerging AI capabilities including generative AI natural language interfaces document intelligence semantic search summarization classification recommendation support and AI-assisted content workflows. Stay connected with external vendors technology partners startups and innovation ecosystems to bring relevant AI automation and emerging technology advancements into Sony helping identify opportunities for pilots proof-of-concepts and scalable business applications.

Agile Delivery & Documentation

Develop quick prototypes pilots and modular solutions that can be tested refined approved and scaled. Document solutions workflows assumptions dependencies technical requirements and governance considerations to support adoption maintenance and scalability.

Qualifications

Education & Languages

Bachelors or advanced degree in Computer Science Data Science Engineering Information Systems Statistics Business Analytics or a related quantitative or technical field. Fluent Spanish and English required; Portuguese is a plus.

Experience

2 to 4 years of professional experience in full-stack development analytics engineering data automation AI solution development data engineering business intelligence engineering or related technical roles.

Full-Stack Development

Experience building practical end-to-end solutions involving user interfaces backend logic databases APIs workflow orchestration and deployment-ready prototypes. The role does not require enterprise software engineering ownership but does require the ability to build functional reliable tools that business users can test and adopt.

Programming & Data Skills

Strong proficiency in Python and SQL is required. Experience with JavaScript TypeScript React Flask FastAPI Streamlit Dash or similar frameworks is a strong plus.

AWS Data Warehouse & Cloud Analytics

Hands-on experience with cloud-based data warehouses or modern data platforms preferably AWS. Experience with AWS services such as Redshift S3 Glue Athena Lambda SageMaker or related analytics services is a strong plus.

Applied AI & Automation

Working knowledge of generative AI tools large language models prompt engineering document automation semantic search embeddings vector search RAG architectures chatbot development or AI-assisted workflow design.

APIs Pipelines & Integrations

Experience with APIs data pipelines data integration system connectivity workflow automation data quality checks and scalable analytical workflows. Familiarity with Airflow AWS Step Functions Prefect Dagster or similar orchestration tools is a plus.

Cloud DevOps & Governance

Ability to work with Cloud Ops DevOps InfoSec and enterprise technology teams. Familiarity with cloud deployment processes CI/CD concepts containerization access controls data privacy and information security review processes is a plus.

Visualization & Business-Facing Outputs

Experience presenting data automation outputs AI-assisted results monitoring metrics and operational insights through dashboards reports custom tools or Python visualization frameworks.

Industry Experience

Media and entertainment experience is a plus especially in streaming production studios theatrical distribution TV networks digital media social media marketing analytics advertising content distribution or audience insights.

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