Business Analyst - Content

9 Months ago • 1-4 Years • Editorial

Job Summary

Job Description

As a Business Analyst - Content, you'll analyze complex data sets to understand user behavior, improve content recommendations, and optimize user experience. You will work with cross-functional teams (product, engineering, content, marketing) to ensure data-informed decisions. Key responsibilities include tracking and analyzing content performance across cultures, creating dashboards and reports, analyzing viewer preferences, supporting content acquisition with performance insights, and building forecasting models to predict content success and ROI. The role requires strong analytical skills, proficiency in SQL, Excel, product analytics tools (Mixpanel, Amplitude), and BI tools (Tableau).
Must have:
  • 1-4 years product analytics experience (B2C)
  • Proficiency in SQL, Excel, product & BI tools
  • Strong problem-solving skills
  • Exceptional attention to detail
  • Ability to work independently and collaboratively
Good to have:
  • Ability to judge metrics for different problems
  • Ability to design and run experiments
  • Excellent analytical document writing
  • OTT/entertainment industry experience
  • Experience designing event tracking schemas

Job Details

About the opportunity :

As a Business Analyst - Content, you will play a critical role in analysing and interpreting complex data sets to help us understand user behaviour,improve content recommendations, optimize user experience, and drive strategic decisions. You will work closely with cross functional teams, including product, engineering, content,and marketing, to ensure our day-to-day work is strongly data-informed.


Key responsibilities:

  1. Track and analyse content performance across regional cultures.

    • Analyse metrics like watch time, completion rates, and engagement for content in different cultures

    • Compare performance across cultures to identify successful content patterns

  2. Create content performance dashboards and reports

    • Build automated dashboards showing key content metrics

    • Generate regular reports on content performance for stakeholders and content team

  3. Analyse viewer preferences and behaviour by cultures and regions

    • Study how different regions consume content.

    • Understand peak viewing times, preferred devices, and viewing patterns by cultures

  4. Support content acquisition with performance insights and forecasts

    • Help acquisition team make data-driven decisions on content purchases

    • Predict potential performance of new content based on historical data

  5. Generate ROI analysis for content investments

    • Calculate return on investment for different types of content

    • Compare ROI across cultures and genres

  6. Optimize content scheduling based on viewing patterns

    • Recommend best release times for new content

    • Optimize content placement on platform based on viewing data

  7. Create content performance forecasting models

    • Build models to predict content success

    • Develop viewership forecasts for new content releases

Our ideal candidate:


Must have:

● 1-4 years of product analytics experience in a B2C context

● Proficiency with SQL, Excel, product analytics (Mix panel, Amplitude or similar) and Business Intelligence (Tableau or similar) tools

● Strong problem-solving skills and an insatiable curiosity to get behind the ‘why’of every problem statement

● Exceptional attention to detail and the ability to work both independently and collaboratively within a cross-functional team

Should have:

● Ability to judge what metrics to measure for different problem statements

● Ability to design and run experiments independently

● Ability to write great analysis documents/notes to succinctly communicate your findings to a broad audience

● Experience designing event tracking schemas

Nice to have:

● Experience in the OTT/entertainment industry




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About The Company

Uttar Pradesh, India (On-Site)

Noida, Uttar Pradesh, India (On-Site)

Noida, Uttar Pradesh, India (On-Site)

Noida, Uttar Pradesh, India (On-Site)

Noida, Uttar Pradesh, India (On-Site)

Noida, Uttar Pradesh, India (On-Site)

Noida, Uttar Pradesh, India (On-Site)

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