Streaming Data Analyst
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Job Description
Streaming data analyst troubleshooting catalogs, feeds, and data processes for Simply.TV’s streaming services in Mexico. Using Python, AI tools, and root-cause analysis to resolve technical issues.
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 analysing data, system behaviour, 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 understanding of Simply.TV’s streaming products, data architecture, and technical workflows.
- Reports to the Head of Streaming.
- Full-time contractor; 40 hours per week.
Requirements:
- 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.
- Previous experience in data analytics, data operations, technical support, technical operations, QA, or a similar analytical role is a nice-to-have.
- Experience working with APIs, JSON/XML, databases, SQL, logs, scripting, or data pipelines is a nice-to-have.
- Experience with streaming technologies, OTT platforms, broadcasting, media technology, metadata, or digital content is a nice-to-have.
- Previous experience working with client-facing technical issues is a nice-to-have.
- Experience using Python for automation or building small internal tools is a nice-to-have.
- Familiarity with debugging technical workflows and identifying issues across multiple systems is a nice-to-have.
- Previous experience in an international or cross-functional environment is a nice-to-have.
- Previous experience in television or streaming is helpful but not required.
Benefits:
- Compensation: $2,000–$3,000 USD per month, depending on experience and technical skill level, based on a full-time contractor setup.
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