Data Analyst

April 3

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Logo of Cint

Cint

Cint is a leading global technology platform that provides a comprehensive marketplace for market research. The company operates the world's largest programmatic research marketplace, known as the Cint Exchange, which connects surveys with millions of respondents across 130 countries. Cint offers services such as media measurement and audience monetization, leveraging powerful technology to provide insights-driven companies with actionable data. With a focus on quality and trust, Cint uses advanced AI and machine learning tools to ensure the integrity and accuracy of the data collected. It serves a wide range of industries by offering tools for measuring the impact of advertising, conducting brand lift studies, and optimizing marketing strategies in real time. Cint is trusted by thousands of companies for its innovative approach to connecting businesses with the right survey participants efficiently and effectively.

Software services • Insight technology • Panel monetization • insights exchange platform • Research sample

1001 - 5000 employees

Founded 2004

🤝 B2B

☁️ SaaS

💰 $13M Series B on 2010-09

📋 Description

• Analyze large datasets to identify trends, patterns, and insights, ensuring quality and reliability of results. • Respond to ad hoc client-specific requests including performing analyses, data manipulation and producing summary results. • Generate reports and visualizations to effectively communicate findings to stakeholders to support decision making. • Support campaign performance analysis and contribute to benchmark development and optimization. • Design scripts and tools to automate and streamline data extraction processes using Python, SQL, and APIs. • Develop interactive dashboards and reporting tools (such as Power BI, Tableau, Streamlit) to provide a clear overview of key metrics and insights. • Collaborate with stakeholders to enhance data collection processes.

🎯 Requirements

• Master’s degree or Bachelors in a quantitative field (e.g., Data Analytics, Statistics, Mathematics or a related discipline). • 1-2 year(s) of experience in a data analysis role, preferably in market research, or advertising analytics. • Proficiency in Python (especially pandas and NumPy) for data manipulation. • Strong experience with MS Excel for analysis and reporting. • Experience working with large datasets and performing complex data transformations. • Strong analytical skills with a focus on data validation and accuracy. • Excellent communication skills to present findings and collaborate with internal teams and customers. • Self-starter with ability to work independently.

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