Market Intelligence Specialist

Bebeedataresearch; Manaus; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A data research company is seeking a Data Research Analyst to design and analyze large-scale surveys for the Gaming industry. The role involves crafting unbiased questions, producing accurate data, and creating visualizations using Tableau. Key qualifications include strong analytical skills and proficiency in Tableau. Excellent communication and collaboration skills are also essential for the position. This role offers an opportunity to work within a dynamic research environment in Manaus, Amazonas, Brazil.

Qualificações

• Strong understanding of research methodologies.
• Excellent analytical skills and ability to produce accurate data.
• Proficient in using Tableau for data visualization.

Responsabilidades

• Develop unbiased questions for surveys.
• Create actionable and accurate data.
• Retrieve data from multiple databases.
• Present findings through written reports.

Conhecimentos

Research methodologies

Analytical skills

Tableau proficiency

Communication skills

Interpersonal skills

Ferramentas

Tableau

Descrição da oferta de emprego

Data Research Analyst Role Summary

The primary objective of this role is to design, execute, and analyze large-scale surveys for the Gaming industry. This involves crafting unbiased questions, producing accurate data, and creating advanced data visualizations using Tableau.

Main Responsibilities

• Question Design: Developing questions that do not bias respondents.
• Data Production: Creating actionable, accurate, and representative data.
• Database Querying: Retrieving data from multiple databases.
• Reporting and Writing: Presenting data in meetings through written reports.

Job Requirements and Expectations

The ideal candidate will have a strong understanding of research methodologies, excellent analytical skills, and proficiency in using Tableau for data visualization.

Strong communication and interpersonal skills are also essential for effective collaboration with cross-functional teams.