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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