Analytics Developer for the Media Platform

Yandex's Media Platform is one of the primary traffic generators of the Russian-language internet. We develop infrastructure for processing, storing, transmitting, and displaying multimedia content (live streams, movies, series, music, and other formats) used by the company's major services. Simultaneously, we serve hundreds of thousands of users and transfer terabits of traffic per second. More about the team and its tasks — on the page.

We are looking for an analytics developer who will work with Media Platform data and write code for its analysis, metric building, anomaly detection, and calculation automation. You will have to understand a complex technical system, find patterns in large streams of events, and help teams make data-driven decisions.

What tasks await you

Analysis and research You will analyze viewing logs, player telemetry, playback quality data, CDN, backend components, and transcoding. You will also research user experience (why startup times change, what the launch success rate is, buffering, what playback errors exist, and other key quality indicators). Furthermore, your tasks will include analyzing A/B experiments, detecting anomalies, and formulating insights that help decision-making.

System development, design, and metric development You will need to develop the system of technical and product metrics for the platform (including quality measurement tools, analytical data marts, and cubes), design pipelines, dashboards, and internal tools for analysis, monitoring, and supporting developers in debugging. Together with developers, you will find bottlenecks in content playback and delivery, prioritizing improvements. You will also develop new metrics and ML components — for example, a system for predicting optimal video startup quality based on accumulated logs.

More about analytics at Yandex — in the channel Yandex for Analytics

We expect that you

• Have worked with analytical DBMS (preferably ClickHouse)
• Have built metrics, data marts, dashboards, or internal analytical services
• Are proficient in SQL and work with large volumes of data
• Can write code for analysis, automation, and developing application tools
• Understand the basics of statistics and A/B experiment analysis methods
• Can independently formulate tasks, work with ambiguous data, and bring analysis to a useful result
• Are ready to dive deep into the technical context and communicate with engineers using the same language

Will be a plus

• Have worked with DataLens or other BI tools
• Have analyzed observability and telemetry data of high-load systems
• Have designed event schemas, verified data correctness, and built analytical pipelines
• Understand video streaming technologies (video codecs, HLS/DASH, CDN, ABR, startup time, rebuffering, latency)
• Can solve machine learning tasks or show a clear interest in applying ML in data analytics