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Data AnalystKantar Media • Miami, FL, United States
Data Analyst

Data Analyst

Kantar Media • Miami, FL, United States
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  • [job_card.full_time]
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Data Analyst

WFA Cross Media Measurement Initiative

Miami, FL / On Site

Kantar Media has won the contract to build a new Cross-Media Measurement panel in the United States, one of the first of its kind in the world. We are looking for forward-thinking, analytical, and detail-oriented professionals to join our team and help transform the way advertisers understand audiences.

The Media Division at Kantar are experts in decoding the evolving media landscape. Our Audience Measurement teams are developing innovative ways to quantify how people consume media across platforms, from streaming services to broadcast TV. This new U.S. panel represents the future of measurement, integrating the latest technologies, partnerships with global platforms (including Google and Meta), and cutting-edge data visualization.

Kantar is the world’s leading data, insights, and consulting company. We understand more about how people think, feel, shop, share, vote, and view than anyone else. Combining deep human insight with advanced analytics, Kantar’s 25,000 employees in over 100 countries help the world’s leading organizations succeed and grow. Nobody knows people better than Kantar. This is your opportunity to be part of something genuinely transformative.

Job Details

Our Data Analyst will play a key role in ensuring the accuracy, consistency, and insightfulness of data used across the Cross-Media Measurement initiative. You will clean, structure, and analyze panel and operational data, create dashboards and reports, and provide data-driven insights to stakeholders across Operations, Product, and Client Services.

This is a hands-on analytical role that combines strong technical skills with business acumen and storytelling ability. You will help ensure our metrics are not only accurate but actionable, turning raw data into meaningful insights that drive decisions.

Tasks & Responsibilities

  • Clean, validate, and structure raw panel and operational datasets for reporting and analysis.
  • Develop and maintain Excel dashboards, Power BI reports, and Power Apps solutions that streamline data entry, tracking, and visualization workflows.
  • Build and manage Power Apps used by operations teams for data capture, process automation, and reporting integration.
  • Identify data anomalies, trends, and root causes of issues that impact panel performance or data quality.
  • Partner with Operations and Technology teams to ensure data integrity and proper data flow across systems.
  • Automate routine reporting processes and improve efficiency in data collection and transformation.
  • Support leadership with ad-hoc analysis, visualizations, and performance summaries to inform strategic decisions.
  • Collaborate cross-functionally to design and implement new KPIs and data views aligned with project goals.
  • Ensure compliance with data governance standards and documentation best practices.
  • Contribute to continuous improvement initiatives through data insights and analytics innovation.

The Skills & Experience Needed

  • A minimum of one year of professional experience using Excel, Power BI, and Power Apps is required.
  • Strong proficiency in Microsoft Excel (pivot tables, advanced formulas, Power Query, VBA desirable).
  • Experience with Power BI, building dashboards, data models, and visual reports from multiple data sources.
  • Hands-on experience with Microsoft Power Apps, including building and maintaining low-code applications, automating workflows, and integrating with Power BI and SharePoint.
  • Proven analytical and problem-solving skills with exceptional attention to detail and accuracy.
  • Solid understanding of data structures, quality assurance, and basic statistical concepts.
  • Ability to interpret complex datasets and communicate findings in a clear, concise, and actionable way.
  • Experience working with large operational or media datasets preferred.
  • Knowledge of SQL, Python, or similar data manipulation tools is a plus (but not required).
  • Strong organizational and time management skills, able to prioritize and deliver under tight deadlines.
  • Excellent collaboration skills, comfortable working cross-functionally in a dynamic, fast-paced environment.
  • Fluent English essential; Spanish desirable.
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