Research Executive

Research Executive - Casual manages and analyzes data to find insights. This includes organizing data, cleaning it, and tagging key attributes like sentiment, journalist, spokesperson, or topic based on project needs.Responsibilities: Organize and clean data for analysis. Tag data with attributes like sentiment, journalist, spokesperson, or topic. Ensure data accuracy and consistency. Create reports and visualizations. Work with teams to meet project goals. Ensures high rating accuracy on relevancy and sentiment applied Conforms to standing orders, account preferences and client specifications Codes and researches articles using the online system or other methods as required Facilitates overall content management and meets data handling deadline Performs deep review of data relevancy and applies sentiment that would suit the article/ post. Carries out content tagging as specifically instructed. Ensures that articles/ tickets are coded/ cleared, checked and tagged in a timely manner to meet the deadlines Conducts account checks and provides useful feedback from data handled. Assists the Research Team and overall Insights operations Adapts to changes in responsibilities and processes with ease Ensures compliance with Isentia policies and standards, and ensures compliance with all local statutory requirements. Requirements Strong understanding of data management. Degree in Business, Social Sciences or other Media and Communications related course Excellent reading, comprehension and analytical skills with an ability to summarise key issues and themes from media articles as well as organise and prioritise work according to tight deadlines At least 1-2 years in related industry with experience in market research and/ or project management Self-motivated, results driven, with the ability to work in a team. Able to work autonomously and under pressure, good time management skill, and strong attention to details with an interest in news and current affairs Skilled in data cleaning and organizing. Proficient in Excel and Google Sheets. Familiar with data tagging and classification. Experience with large datasets. Able to identify patterns and insights. Detail-oriented with problem-solving skills. Familiar with social media (Twitter, Facebook, Instagram, LinkedIn). Work duration based on project (daily, weekly, or monthly). Available to start immediately. Able to work from 06:00 AM or 07:00 AM.

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