Analytics Head – OTT Platform

10\-10 Years

Noida

Full time

Analytics Head OTT Platform (Manager and Head)

We are looking for an experienced Analytics Head to lead analytics, data strategy, business intelligence, and reporting for a large\-scale OTT platform under the Prasar Bharati Project. The candidate will drive analytics architecture, define KPIs and reporting frameworks, ensure data quality, and translate business requirements into scalable technical solutions. The role requires strong technical leadership, client\-facing communication, and experience managing analytics and data teams.

Key Responsibilities

Lead the overall analytics, data, and reporting strategy for the OTT platform.

Work closely with clients and stakeholders to understand business, audience, content, and reporting requirements.

Define KPIs, reporting schemas, data dictionaries, event schemas, and dashboard specifications.

Ensure data accuracy through validation, reconciliation, and quality checks.

Analyze user behavior, content consumption, engagement, retention, and platform performance.

Collaborate with engineering and data teams on analytics architecture, instrumentation, and ETL/ELT pipelines.

Lead, mentor, and manage analytics and reporting teams.

Convert business requirements into technical specifications and scalable implementation plans.

Drive insights related to subscriptions, advertising, live streaming, and content recommendations.

Required Skills \& Qualifications

8–15 years of experience in Analytics, Data, Business Intelligence, Reporting, or related technology domains.

Minimum 5 years of technical leadership experience managing analytics/data platforms or teams.

Strong SQL and database expertise, including PostgreSQL, MySQL, SQL Server, or equivalent.

Experience with Big Data technologies, distributed data processing, and large\-scale data architectures.

Knowledge of NoSQL databases such as MongoDB, Cassandra, or DynamoDB.

Strong understanding of Data Lakes, Data Warehouses, ETL/ELT, data modelling, and modern analytics architecture.

Cloud data experience, preferably AWS S3, Athena, Glue, and Redshift.

Experience with Power BI, Tableau, Looker, Metabase, or equivalent BI tools.

Understanding of AI/ML analytics, recommendation engines, personalization, and experimentation.

Excellent stakeholder management, communication, analytical thinking, and problem\-solving skills.

Good to Have

Experience in OTT, media, broadcasting, streaming, or digital platforms.

Knowledge of Python, APIs, and automated data extraction.

Experience with Kafka, AWS Kinesis, or real\-time streaming technologies.

Exposure to BigQuery, Snowflake, Azure Synapse, GA4, Firebase, Mixpanel, or Amplitude.

Understanding of OTT metrics such as DAU/MAU, watch time, completion rates, retention, subscription funnels, impressions, CPM, concurrent users, and playback quality.

Education

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Analytics, Statistics, IT, or a related field.