We are looking for a strong Media Data Analyst to join us at Nielsen Sports asap. This role plays a crucial role in analysing media data to extract valuable insights for our clients in the sports marketing industry. This role focuses on utilizing provided data to develop and implement analytical models, interpret findings, and communicate results to evaluate media performance, measure sponsorship ROI, and support strategic decision-making. Will act as a trusted advisor to our clients, providing data-driven audience insights and strategic recommendations based on a deep understanding of the (French) sports market.
Research and Methodology:
Stay informed about industry best practices and emerging trends in media evaluation, audience analytics, and sports marketing.
Maintain modern analytical techniques and tools to enhance data interpretation and reporting.
Contribute to the development and refinement of methodologies for media evaluation and sponsorship ROI measurement.
Client Communication and Reporting:
Prepare clear and concise reports and presentations to communicate findings to clients.
Effectively explain complex data analysis in a way that is understandable and actionable for non-technical audiences.
Collaborate with clients to understand their specific needs and tailor analyses accordingly.
Present results and recommendations to clients in a professional and persuasive manner.
Data Analysis and Modelling:
Utilize existing datasets of media coverage from various sources (e.g., print, online, broadcast incl. TV ratings) to perform in-depth analysis.
Apply statistical skills to identify trends, extract key performance indicators (KPIs), and evaluate media effectiveness.
Analyse audience data to understand viewership, engagement, and demographics.
Team Collaboration:
Work closely with other members of the media solutions & media delivery team to ensure consistent and high-quality analysis.
Share knowledge and expertise with colleagues to contribute to the overall development of the team.
Qualifications
Education: Bachelor's or Master's degree from a Business or a Sports Management School or in a quantitative field such as Statistics, Mathematics or Economics
Experience:
Proven experience (2+ years) in data analysis and modelling, preferably in the sports, media, or marketing industries. An experience in an audience measurement company or an advertising agency would be highly advantageous.
Strong understanding of media evaluation methodologies and KPIs.
Experience with sponsorship ROI measurement is a plus.
Experience working with television ratings data, such as Nielsen ratings.
Skills:
Technical & Analytical Skills:
Proficiency in statistical and data visualisation tools or packages (Excel/VBA, Power BI/Tableau, Python, etc)
Strong analytical and problem-solving abilities.
Ability to interpret and draw insights from complex data.
Attention to detail and accuracy.
Ability to leverage AI tools (e.g., Gemini) to enhance problem-solving, automate routine tasks, and accelerate analysis for greater efficiency.
Communication Skills:
Fluent in English and French
Excellent written and verbal communication skills.
Ability to present complex information clearly and concisely.
Strong interpersonal and client-facing skills.
Additional Desired Qualifications:
Familiarity with sports marketing and the media landscape.
Knowledge of different media channels and their characteristics.
Experience with social media analytics.
About Nielsen:
By connecting clients to audiences, we fuel the media industry with the most accurate understanding of what people listen to and watch. To discover what audiences love, we measure across all channels and platforms - from podcasts to streaming TV to social media. And when companies and advertisers are truly connected to their audiences, they can see the most important opportunities and accelerate growth.
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Work on cutting-edge sports data and analytics. Join a team that's revolutionizing how we understand sports performance with AI and machine learning.
Salary: $65,000 - $100,000
🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.
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