Senior Data Analyst I

At Nielsen, we are passionate about our work to power a better media future for all people by providing powerful insights that drive client decisions and deliver extraordinary results. Our talented, global workforce is dedicated to capturing audience engagement with content - wherever and whenever it’s consumed. Together, we are proudly rooted in our deep legacy as we stand at the forefront of the media revolution. When you join Nielsen, you will join a dynamic team committed to excellence, perseverance, and the ambition to make an impact together. We champion you, because when you succeed, we do too. We enable your best to power our future.

Key Responsibilities

1. Strategic Analysis & Storytelling

• Analyze information independently to turn results into compelling stories that provide added value and ROI insights for clients.

  
  

• Create detailed ROI reports and dashboards that demonstrate the monetary value of sponsorships based on audience size and advertising rates.

  
  

• Conduct market research, including survey analysis and trend forecasting, to help brands understand emerging behaviors and demographics.

  
  

2. Project Management & Delivery

• Manage complex client analytical projects, serving as a liaison between Sales and Operations to ensure solutions meet client needs.

  
  

• Define scope, perform cost calculations, and conduct feasibility checks for projects, ensuring they meet budget expectations and profitability goals.

  
  

• Use project planning tools (such as ROSCO or Monday.com) to track project progress and coordinate with diverse media services teams to meet service-level agreements.

  
  

3. Process Optimization & Automation

• Drive the automation of standardized, repeatable business processes to improve efficiency and effectiveness.

  
  

• Utilize technical skills (Python, VB Script) to optimize delivery workflows and contribute to the continuous improvement of services.

  
  

• AI Integration: Design and implement AI workflows and utilize prompt engineering to enhance data processing speed and analytical capabilities. 

  
  

4. Media Valuation & Quality Indexing

• Oversee methodologies for "Media Value" determination, including Brand Tracking (identifying logos in video footage) and Quality Indexing (grading logo visibility, focus, and screen time).

  
  

• Ensure accurate valuation calculation using proprietary tools and audience data.

  
  

Essential Skills & Qualifications

• 3 - 6 yrs experience - Data Expertise: Strong proficiency in Excel, including advanced formulas, pivot tables, and complex data transformation techniques.

  
  

• Analytical Mindset: Possess an analytical mindset and strong time management and prioritization skills.

  
  

• Communication: Excellent communication and presentation skills, with the ability to turn analysis into clear recommendations for diverse audiences.

  
  

• Industry Knowledge: Deep knowledge of media and sponsorship within the advertising industry.

  
  

• Schedule Flexibility: Must be willing to work in shifts to provide seamless support to our USA market clients.

  
  

• Communication: Excellent spoken and written communication skills in English are mandatory for presenting recommendations to different audiences and building trust with stakeholders.

  
  

• Project Management: Strong time management and prioritization skills, with the ability to coordinate ongoing client projects independently.

  
  

• Global Mindset: Ability to collaborate with international colleagues and maintain an internal and external network.

  
  

Technical Proficiency

• Advanced Data Manipulation: High proficiency in Python and SQL to extract and manipulate data from a variety of sources is required.

  
  

• Visualization & BI Tools: Extensive experience with Power BI or Tableau. Candidates must understand the underlying architecture, not just the User Interface.

  
  

• Spreadsheet Mastery: Advanced skills in Google sheets, Microsoft Excel, including pivot tables and VLOOKUPs.

  
  

• AI & Automation: Exposure to basic AI concepts, including prompt engineering and the creation of AI workflows to automate data tasks.

  
  

• Statistical Analysis: Familiarity with statistical software such as SPSS or R is beneficial for research-heavy tasks. - Preferrable

  
  

• Technical Advantage: Experience with scripting or coding languages, such as Python or VBA (Visual Basic for Applications). 

  
  

• Automating various iterative tasks within MS Excel or any other tools using Python. 

  
  

Please be aware that job-seekers may be at risk of targeting by scammers seeking personal data or money. Nielsen recruiters will only contact you through official job boards, LinkedIn, or email with a nielsen.com domain. Be cautious of any outreach claiming to be from Nielsen via other messaging platforms or personal email addresses. Always verify that email communications come from an @nielsen.com address. If you're unsure about the authenticity of a job offer or communication, please contact Nielsen directly through our official website or verified social media channels.