Streaming Data & Operations Analyst (Full-time Contractor, Mexico)
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As a Streaming Data & Operations Analyst, you will take ownership of technical and data-related issues affecting Simply.TV’s streaming services—from initial investigation through resolution.
This is an analytical and technically hands-on role for someone with a strong academic background in Computer Science, Data, or a closely related field, solid Python skills, and the ability to use AI tools and effective prompting as part of their problem-solving workflow.
You will investigate why streaming catalogs, feeds, or data processes are not working as expected, identify root causes, resolve issues where possible, and escalate more complex problems with a clear technical diagnosis.
You will work closely with Streaming, Development, Operations, and other technical teams while also communicating directly with clients when needed. This means you should be equally comfortable diving into data and technical problems as you are explaining your findings clearly to others.
This is not a traditional support role. We are looking for someone who is analytical, curious, technically confident, and able to take ownership of problems rather than simply follow established runbooks.
Responsibilities
- Take ownership of streaming data issues from initial investigation through resolution.
- Investigate incorrect catalogs, feeds, data anomalies, failed processes, and other streaming-related issues.
- Identify root causes by analyzing data, system behavior, logs, feeds, and technical workflows.
- Use Python to investigate, validate, manipulate, or troubleshoot data and technical processes.
- Resolve issues independently where possible or escalate them to Development or other technical teams with a clear diagnosis and supporting information.
- Work with structured data, APIs, logs, feeds, internal systems, and other technical sources.
- Use AI tools and effective prompting to support analysis, investigation, troubleshooting, and productivity.
- Communicate technical findings clearly to both technical and non-technical stakeholders.
- Communicate directly with clients regarding streaming-data issues, investigations, and resolutions.
- Collaborate with Development, Operations, and Streaming teams to improve workflows and prevent recurring issues.
- Manage multiple investigations and priorities while meeting deadlines and SLA requirements.
- Document findings, solutions, and recurring problems to improve team knowledge and processes.
- Continuously develop your understanding of Simply.TV’s streaming products, data architecture, and technical workflows.
Requirements
Must-haves
- Bachelor’s or Master’s degree in Computer Science, Data Science, Data Analytics, Software Engineering, IT, or a closely related technical field.
- Solid practical Python skills and confidence using Python for data analysis, investigation, automation, or troubleshooting.
- Strong analytical and problem-solving skills, with the ability to investigate an issue and identify its root cause.
- Good understanding of data structures, technical systems, and how data moves between different systems or processes.
- Experience using AI tools effectively, including strong prompting skills for research, analysis, troubleshooting, or productivity.
- Ability to work independently on technical problems and take ownership from investigation through resolution.
- Ability to understand technical information and communicate findings clearly to both technical and non-technical audiences.
- Strong written and spoken English.
- Confidence communicating directly with clients.
- Strong organizational skills and the ability to manage multiple investigations or priorities simultaneously.
- High attention to detail and a strong commitment to data accuracy.
- Proactive, curious, and comfortable exploring unfamiliar technical problems.
- Ability to thrive in a fast-paced environment where priorities can change.
Nice-to-haves
- Previous experience in data analytics, data operations, technical support, technical operations, QA, or a similar analytical role.
- Experience working with APIs, JSON/XML, databases, SQL, logs, scripting, or data pipelines.
- Experience with streaming technologies, OTT platforms, broadcasting, media technology, metadata, or digital content.
- Previous experience working with client-facing technical issues.
- Experience using Python for automation or building small internal tools.
- Familiarity with debugging technical workflows and identifying issues across multiple systems.
- Previous experience in an international or cross-functional environment.
Previous experience in television or streaming is helpful but not required. Strong technical fundamentals, analytical thinking, Python skills, and the ability to learn complex systems are more important.
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Simply.tv
View Company ProfileSimply.tv is a premier, enterprise-grade media technology platform engineered to orchestrate massive-scale entertainment ecosystems and intelligent frictionless content discovery workflows. Operating as a highly integrated global TV metadata hub, the company eliminates the operational friction of traditional localized content aggregation by seamlessly deploying advanced video intelligence telemetry, rigorous cross-platform data architectures, and cohesive streaming navigation frameworks. Moving beyond rigid legacy TV guide schedules, Simply.tv empowers global broadcasters, high-growth streaming services, and digital TV operators to dynamically synchronize their content delivery pipelines with elite personalized execution. Under the hood, their sophisticated proprietary data infrastructure natively handles complex global metadata ingestion across thousands of channels, instantaneous deep-link routing, and seamless AI-driven semantic tagging integration, ensuring frictionless viewership readiness and uncompromising search accuracy. What sets Simply.tv apart is its uncompromising dedication to frictionless metadata orchestration; by bridging the gap between rigorous content cataloging and accessible personalized user experiences, the platform empowers entertainment platforms to radically accelerate their user engagement velocity, optimize cross-platform discovery logistics, and build an unassailable foundation for continuous commercial dominance in the modern media landscape.
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