Telewebion is a leading Over-the-Top (OTT) platform that has revolutionized how audiences interact with broadcasting in Iran. We provide live streaming and Video-on-Demand (VOD) archives of major television networks, allowing users to enjoy a diverse collection of entertainment—including films, series, sports, and news—for free and across various devices. With a team of over 60 dedicated professionals and an extensive user base, we are committed to enhancing the user viewing experience and delivering high-quality content to our audience.
About the Role
Your role is to enable data-driven decision-making in the product development process. You will accomplish this by interacting with product teams, understanding their needs, translating those needs into data requirements, and extracting and analyzing product data to support informed decisions.
Responsibilities
As a Junior Product Analyst, you will support product teams by analyzing user behavior and consumption data and providing relevant data-driven insights. You will develop and maintain product dashboards. You will also clarify product data requirements based on analyses and requests from product teams.
Your responsibilities include:

• Defining data requirements to address product needs
• Interacting with stakeholders involved in product development (especially the Product Manager) to understand the product team's problem and the required data analyses for decision-making
• Extracting, analyzing, and delivering the data required by product teams
• Developing and maintaining product dashboards
• Conducting ad-hoc analyses to answer specific business questions and support strategic initiatives
• Analyzing user behavior and consumption to discover problems, patterns, and actionable insights
• Preparing data required for management and executive-level reports
• Building and maintaining data products needed by the product
• Delivering clear presentations and data storytelling of analytical outputs and insights

Must-Have Skills & Qualifications

• Strong problem-solving and problem-deconstruction skills
• Meticulous attention to detail and patience for thorough data validation
• Experience in data analysis and extracting insights from data
• Good communication and teamwork skills
• Ability to present and narrate data outputs and insights clearly and effectively
• Proficiency in SQL
• Foundational understanding of Statistics
• Proficiency in at least one data visualization tool such as Power BI, Tableau, MetaBase, Grafana, etc.
• Proficiency in Excel

Nice-to-Have Skills

• Familiarity with product analysis frameworks
• Skill in data-driven hypothesis generation and hypothesis testing (A/B test, ANOVA, t-test, etc.)
• Proficiency in Google Analytics 4 (GA4) and Google Tag Manager (GTM)
• Familiarity with Python or R for data processing and analysis (Proficiency in R is a plus)
• Familiarity with PySpark is a plus
• Familiarity with machine learning and deep learning techniques such as clustering, regression, association rules, classification, etc.
• Advanced proficiency in Statistics is a plus

Requirements

• Minimum 1 year of work experience in this role or similar roles
• Bachelor's degree or higher in Basic Sciences (e.g., Mathematics, Physics, Chemistry), Engineering, Business Administration, or related quantitative fields. Fields such as Mathematics, Statistics, or Economics are a plus.