Job Definition

Media House is an innovative team dedicated to shaping the future of digital media and advertising. We are currently looking for a curious and results-oriented Business Data Analyst (Mid-Level) to join our team.

We're looking for a curious, results-oriented Business Data Analyst (Mid-Level) who is passionate about using data to understand user behavior, measure product progress, and drive day-to-day decisions. In this role, you won't be building complex machine learning models; instead, you will act as the analytical engine of the product team, evaluating key product performance metrics and measuring the impact of new feature releases.

Job Description

As a Business Data Analyst in the Media team, you will:

• Collaborate closely with the Product Team to translate product requirements and business questions into actionable data analysis.
• Monitor key product metrics and conduct root cause analysis to explain sudden anomalies, drops, or spikes in user behavior.
• Analyze conversion funnels, user journeys, and feature impacts to provide actionable product insights.
• Extract data, write complex queries, and analyze results using statistical techniques.
• Design, develop, and maintain ongoing metrics, dashboards, and automated reports to drive key product decisions.
• Support the design and evaluation of A/B tests to measure the success of product changes.
• Deliver effective presentations of findings, transforming raw data into clear product narratives.

Requirements

• Minimum of 3 years of experience as a Data Analyst, Product Analyst, or in a similar role.
• Bachelor’s degree in Math, Statistics, Computer Science, Engineering, or any related field.
• Strong proficiency in SQL for data extraction and manipulation.
• Proficiency in Python and its data analysis libraries (such as Pandas and NumPy).
• Solid understanding of statistical concepts, hypothesis testing, and statistical inference.
• Strong Product Sense: Familiarity with digital product metrics (e.g., Retention, Churn, Conversion Rates) rather than just traditional business/marketing metrics.
• Proven analytical ability to use hard data to back up assumptions and complete root cause analyses.
• Strong verbal and written communication skills that enable you to explain complex mathematical insights with clarity to non-technical stakeholders.

Nice to Have

• Experience with BI and visualization tools (e.g., Metabase).
• Familiarity with VOD platforms, media streaming business models, or content discovery.
• Familiarity with Big Data technologies.