Director, Business Intelligence

đŸ”„ 17 minutes ago

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Logo of Cint

Cint

1001 - 5000 employees

Founded 2004

đŸ€ B2B

☁ SaaS

💰 Venture Round on 2016-01

Market Research ‱ B2B ‱ SaaS

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.

📋 Description

‱ Define and execute the BI strategy ‱ Partner with senior stakeholders across various departments ‱ Define and operationalize enterprise KPIs and executive-level dashboards ‱ Oversee the evolution of our modern cloud data stack ‱ Unify enterprise data models across the organization ‱ Maintain ownership of data cataloging, quality, and governance standards ‱ Establish rigorous data quality, observability, and reliability standards ‱ Own vendor relationships and the BI budget ‱ Oversee and ensure timely delivery of month-end data ‱ Champion the use of AI and advanced analytics ‱ Lead the transition to modern BI tools ‱ Lead organizational change management and data literacy initiatives ‱ Lead and mentor a global team of engineer and analyst professionals

🎯 Requirements

‱ Skilled at leading distributed, high-performing teams through organizational change ‱ Proven track record of leading global BI functions within technology companies ‱ Deep understanding of modern data stacks, specifically Databricks ‱ Experience leading teams through organizational change, platform migrations, and tool deprecations ‱ Exceptional ability to translate complex data infrastructure concepts into clear business value for non-technical senior leadership ‱ Experience managing remote/distributed teams across multiple time zones ‱ Degree in a quantitative field (Mathematics, CS, Data Science) or equivalent professional experience

đŸ–ïž Benefits

‱ Remote work options ‱ Professional development opportunities

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