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 company’s 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 company’s 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
Bachelor’s 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, Node.js, 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.
#LI-NT1
Skills Required
- Bachelor's or advanced degree in Computer Science, Data Science, Engineering, Information Systems, Statistics, Business Analytics, or related field
- Fluent Spanish and English
- 2 to 4 years professional experience in full-stack development, analytics engineering, data automation, AI solution development, data engineering, or related technical roles
- Strong proficiency in Python
- Strong proficiency in SQL
- Experience building end-to-end solutions including UIs, backend logic, databases, APIs, workflow orchestration, and deployment-ready prototypes
- Hands-on experience with an AWS-based data warehouse and data integration (querying, transforming, preparing data for solutions)
- Working knowledge of generative AI tools, large language models, prompt engineering, document automation, semantic search, embeddings, vector search, RAG, or chatbot development
- Experience presenting data, automation outputs, and AI-assisted results via dashboards, reports, or custom tools
- Ability to coordinate with Cloud Operations, DevOps, Information Security, and governance teams (documentation, deployment readiness, access controls)
- Experience with JavaScript, TypeScript, React, Node.js, Flask, FastAPI, Streamlit, or Dash
- Hands-on experience with AWS services such as Redshift, S3, Glue, Athena, Lambda, SageMaker
- Familiarity with orchestration tools (Airflow, AWS Step Functions, Prefect, Dagster)
- Familiarity with CI/CD concepts and containerization
- Media and entertainment industry experience (streaming, studios, distribution, audience insights)
Sony Pictures Entertainment Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sony Pictures Entertainment and has not been reviewed or approved by Sony Pictures Entertainment.
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Healthcare Strength — Medical, dental, vision, mental-health, and wellness programs are broadly available, with recent updates such as CVS/Caremark for prescriptions on Aetna plans. Multiple plan types (including HSA‑eligible options and a California HMO) point to comprehensive coverage breadth.
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Retirement Support — A 401(k) with immediate company matching and auto-enrollment/auto-increase features supports long-term savings. Additional programs like an Employee Stock Purchase Plan and employer HSA contributions further bolster financial wellbeing.
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Parental & Family Support — Paid parental leave described as generous, along with childcare, fertility support, adoption/surrogacy assistance, and backup care, provides broad family coverage. Ancillary supports like Milk Stork and legal assistance reinforce family-related needs.
Sony Pictures Entertainment Insights
What We Do
We are in the business of creativity, making some of the most beloved film and television of all time for every platform in the world. As the most creative and proudly independent studio, our future is boundless. Sony Pictures Entertainment (SPE) is a division of Sony Group Corporation, a creative entertainment company built on a foundation of technology. Along with our sister companies, we make movies, television, music and games that engage billions of people, connecting creators and audiences around the globe. We are looking for innovators to join us as we forge the future of entertainment! SPE's global operations encompass motion picture production and distribution; television production and distribution; digital content creation and distribution; worldwide channel investments; home entertainment acquisition and distribution, operation of studio facilities; development of new entertainment products, services and technologies; and distribution of filmed entertainment in more than 130 countries.
