Working at Cimigo is an opportunity to become a bridge, bringing the voice of consumers to businesses, helping to create better products and services.
To learn more visit: Cimigo.com
Cimigo is one of the leading market research companies in Vietnam and Asia. We operate with the aspiration to serve as the voice of consumers. Understanding consumers and clients is the cornerstone of success for every business. Cimigo consistently listens to consumer needs and communicates them to manufacturers and service providers.
Consumers come to Cimigo to express their viewpoints and needs, while businesses come to Cimigo to listen and understand those viewpoints to drive their future development.
Job Description:
Data Loading & Transformation: Manage the loading, transformation, and preparation of data from various sources to ensure it is ready for analysis and visualisation.
Data Automation: Write scripts to automate data transformation and extraction tasks, streamlining the data preparation process.
Documentation: Maintain clear and detailed documentation of data processes, methodologies, and findings to support the market research project.
Market Research Focus: Apply your analytical and storytelling skills to support the project&039;s market research goals, ensuring that insights align with business strategies.
Data Visualization & Storytelling: Develop and maintain interactive dashboards and reports in Power BI or other visualisation tools, and effectively use storytelling techniques to present data in a way that is clear, compelling, and actionable for stakeholders.
Collaboration with Project Lead: Partner with the project lead to understand the specific requirements of the market- research project and deliver data solutions accordingly.
SQL Querying: Write and optimize SQL queries to extract and manipulate data for analysis and visualization.
Data Analysis: Conduct detailed analyses to uncover trends, patterns, and insights relevant to the market research objectives.
Data Processing: Ensure data accuracy and reliability through comprehensive data cleansing and processing techniques.
