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Streamhub

Business Analyst / Data Scientist

Reposted 10 Days Ago
In-Office
Bengaluru, Karnataka
Mid level
In-Office
Bengaluru, Karnataka
Mid level
Analyze audience measurement data, apply methodologies for audience insights, support reporting and research projects, and collaborate with teams on data accuracy and quality.
The summary above was generated by AI

Job Type: Full-time

Industry: Audience measurement, OTT/CTV Analytics, Research, Advertising

Company size: 20-50

Company type: Tech Startup going into Scaleup phase

Streamhub is a data analytics SaaS platform providing audience measurement, segmentation and targeting for streaming services. Our purpose is to understand how video shapes our everyday life, and our mission to make people's everyday better by being the most actionable data platform for the video business. Working at Streamhub will bring unparalleled access to cutting-edge challenges in the complex adtech / media industry, working within an international and rewarding entrepreneurial culture. We are at an exciting growth phase, making a number of key hires who will form the founding blocks with our teams in Bangalore, London and Tokyo!

At our startup you'll be part of our entrepreneurial gang where our purpose is to understand how video shapes our everyday life, and our mission to be the most actionable data platform for the video business. We innovate and achieve goals as a team with plenty of self-development. Being at an exciting phase of our growth into multiple regions and verticals, we are looking for your B2B marketing/sales expertise in the media/ad tech space to make it count.

Role Overview

We are looking for a Business Analyst / Data Scientist to join our team. This role is ideal for someone who is both analytical and technical, with a strong interest in audience measurement and media analytics. You should be detail-oriented and eager to build your skills in data exploration, working with complex calculation logic, reporting, and insights generation.

In this role, you’ll gain hands-on experience with real-world media consumption data across the linear TV, OTT, and CTV ecosystem. You’ll collaborate with product, engineering, and business teams to support reporting, research, and analytical projects that shape how video audiences are measured and understood in today’s fast-evolving media landscape.

Key Responsibilities
  • Analyze audience measurement data (streaming, panel, OTT, CTV) to uncover trends, patterns, and actionable insights.
  • Learn and apply complex methodologies to generate audience insights, combining both data science and technical perspectives.
  • Collaborate with industry experts, customers, product, and engineering teams to ensure data accuracy, validation, and quality.
  • Contribute to market research and benchmarking projects, linking data-driven findings with broader industry context.
  • Translate business questions into analytical tasks and support the preparation of client-facing reports and presentations.
Skills & Qualifications
  • 3+ years of experience in the media industry (publisher, agency, or audience measurement/analytics platforms), ideally with exposure to technology and data-driven workflows.
  • Strong analytical mindset with intermediate knowledge of statistics and data analysis.
  • Proficiency in at least one data analysis tool (Python, R, SQL, or BI tools).
  • Clear and confident communication skills to present findings and insights effectively.
  • High attention to detail with a proactive attitude and eagerness to learn in a fast-paced startup environment.

The Package

  • Competitive salary.
  • Full-time, permanent position
  • Immense learning working with open, diverse, and experienced colleagues in an entrepreneurial team culture.
  • Flexible timings
  • Flexible hybrid working with 3 days at office as needed
  • 28 days holiday including public holidays
  • Health insurance and pension cover

Thank you for your interest in Streamhub!

We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.

Top Skills

Bi Tools
Python
R
SQL

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