Role and Responsibilities

• Partner with product managers and other stakeholders to drive and create the right product roadmap.
• Work with large ambiguous problem statements and break them down into meaningful problems to solve.
• Partner with product managers to conduct research, create business cases and translate them into meaningful problems to solve.
• Identify the right business and product metrics to be analyzed and tracked for every feature/problem statement.
• Constantly monitor and analyse metrics identified, publish insights/any anomalies along with a hypothesis.
• Work with the product manager to design the right experiments.
• Evangelize the right analytical practices within the team.
• Work with engineering/data platform teams on designing, building, and deploying data analysis systems for large data sets and extracting meaningful data for product teams
• Recommend and create the right algorithms to extract information from large data sets

Position Requirements

• Strong background in statistical concepts and calculations with more than 4+ Years of experience with real data.
• Innovative and strong analytical and algorithmic problem solvers.
• Extensive experience solving analytical problems using quantitative approaches, data visualization and presentation
• Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly verbally and in written form
• Excellent stakeholder management skills.
• The desire to fundamentally change the way product managers look at their data and execute on their roadmap
• Qualification BTech with > 6 years of experience
• Would consider Statistics & Data Analytics Majors with Business Analytics experience
• Expert in advanced Excel, MySQL, Python, Any other BI Tool
• Expertise in working with Big Data technologies (Hadoop, Hive, Spark, etc)
• Experience in B2C companies operating at a scale; Internet/ Consumer Tech companies preferred.
• Experience should be relevant to the role with growing application/ business outcomes responsibility.
• Demonstrated success in data science platforms and business analytics 

Good To Have

• Experience in Media & Entertainment domain. (Must have for Content Analytics Pod)
• Subject Matter Expertise within the pod of recruitment (Marketing Analytics, Product Funnel Analytics, CLM, Ad Tech/ Revenue Analytics etc)