Data Analyst

Profile- Data Analyst

Location- Mumbai

Industry Preferred- Media/TV/OTT/Entertainment/Multiplex

Experience- 4-10 Years

Roles and Responsibilities

• Optimize and automate current reporting solutions to facilitate the decision making process
• Build business review decks to empower business team for retaining and on-board new advertisers
• Translate business requirement into data-driven insights to empower Ad sales and marketing team with go to market narratives
• Develop and design interactive dashboards to track key performance indicators across teams
• Deliver innovative consumer insights solutions for pro-active engagements with agencies and clients to drive new monetization opportunities
• Explore data to identify key user behavior and consumer trends and anomalies
• Clean and validate data before analysis
• Data storytelling - Ability to translate technical analysis into a actionable insights for non-technical audience
• Develop working relationships across teams and exchange best practices with other Samsung Ads entities

Skills and Qualifications

• Degree in computer science/engineering or quantitative discipline (Economics, Statistics, Engineering, Physics, Mathematics). Masters Preferred.
• Strong statistical acumen and spreadsheet wizard
• 4- 5 years in a related engineering / analytics work / data mining
• Strong SQL skills – 3-4 years using SQL/ Snowflake
• Strong Python and/or R skills - 3+ years working with Python and/or R for data manipulation, cleansing and automation
• Strong experience in BI / data visualization tools
• Experience with AWS tools such as EC2 and S3
• Jira, Confluence, GitHub , Snowflake and other agile development tool experience

Background

• Knowledge of research design and frameworks for analysis
• Deep understanding of Streaming TV, Linear TV, and Digital Video
• Proficiency in quantitative and qualitative research methodologies
• Expertise in market research and audience behaviour
• Thorough understanding of the media landscape and media agency ecosystem
• Strong experience designing data solutions aligned to client business needs
• Knowledge of measurement, attribution
• Experience in digital/addressable targeting