Ideal candidate will be required to deliver daily prompt analysis of data to client stakeholders, as required to meet their needs.

Main Responsibilities:

• Drive client satisfaction by providing insights and actionable recommendations during reporting, presentations and business reviews and also by providing value-added analyses and response to special requests.
• Build and maintain ongoing relationships with the identified key persons within client organization.
• Liaise daily with senior management to identify their needs and recommend then deliver new analyses beyond their expectations and understanding.

Knowledge and Skills Requirement:

• Strong understanding of measurement data to enable meaningful conversations with all client stakeholders, and ensure accurate representation of the data in reporting and insights.
• Knowledge of statistics and multivariate analysis.
• Ability to understand all technical and delivery aspects of the modeling process to carry out internal Nielsen and client based conversations.
• Experienced with analysis tools for data extraction at a complex level.
• Strong client focus – able to influence and persuade.
• Strong customer service and interpersonal communication skills.
• Ability to analyse and interpret data in a challenging and insightful manner.
• Excellent presentation development skills to creatively to bring data to life with story-telling and attractive reporting to client expectations.
• Confident presenting skills to deliver insights, stories and actions in face to face or group presentations.
• Efficient time management, ability to multi-task and detail oriented.
• Displays maturity and creative problem solving skills in handling crises.
• Recommend improvements in work processes within area of responsibility.
• Able to operate in a multi-cultural environment.

Qualifications

• 2-5 years’ experience and proven success with Market research (quantitative essential, qualitative an advantage).
• Bachelor’s degree from a recognized university.
• Strong analysis skills and insight generation.
• Good grounding in custom research principles, methodologies, statistical techniques.
• Basic business understanding (e.g. comfortable with terminology: revenue, profit, loss, margin).
• Excellent PowerPoint and Excel skills or Google Slides and Google Sheets.