Media Analytics & Insights Lead

Posted 4 Days Ago
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Hiring Remotely in Montevideo, URY
In-Office or Remote
Senior level
Database • Analytics
The Role
Lead media measurement and analytics across digital and offline channels. Develop measurement frameworks, analyze cross-channel performance, run test-and-learn programs, interpret MMM, and provide actionable recommendations. Use SQL and Python for analysis, partner with stakeholders, launch audience/media products, and mentor analysts.
Summary Generated by Built In
Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com.

Job Description

This person will lead and oversee campaign strategy and development, audience creation, campaign launch, optimization and reporting, test and learn analysis, and use case development, and the development of actionable recommendations across channels including paid social, programmatic, display, video, connected television, and other digital and offline media. 

Key responsibilities: 

  • Lead measurement and analytics strategies for digital media and performance marketing campaigns.
  • Analyze cross-channel campaign performance (Paid Social, Programmatic, Display, Video, CTV, etc.) and identify optimization opportunities.
  • Develop measurement frameworks, KPI structures, and test-and-learn programs.
  • Translate complex data into actionable insights and business recommendations.
  • Problem-solving using SQL and Python to support analysis and reporting.
  • Partner with marketing, media, analytics, and client stakeholders to drive decision-making.
  • Support the launch of new audience and media products.
  • Mentor and guide analysts while ensuring high-quality analytical deliverables.
  • interpret MMM outputs and leverage findings to support media investment, budget allocation, and campaign optimization decisions.

Qualifications

  • Strong experience analyzing performance across multiple digital media channels.
  • Deep understanding of media metrics, campaign optimization, and performance measurement.
  • Experience developing measurement plans, KPI frameworks, and executive-level reporting.
  • Ability to translate business questions into analytical solutions and actionable recommendations.
  • Intermediate SQL skills with the ability to query, transform, and analyze large datasets from multiple sources.
  • Proficiency in Python for data analysis, automation, reporting, and campaign performance evaluation. 
  • Strong client-facing communication and stakeholder management skills.
  • Experience leading projects and/or managing analytics teams.
  • Proficiency with Media platforms such as Google Ads, DV360, CM360, Meta Ads, LinkedIn Ads, Amazon Ads, and The Trade Desk.
  • Web analytics tools such as Google Analytics 4 (GA4) and Adobe Analytics.
  • Data visualization tools including Tableau, Power BI, or Looker.
  • Experience working with marketing effectiveness measurement frameworks, including attribution and Marketing Mix Modeling (MMM).
  • Familiarity with testing and measurement methodologies, including A/B testing, Conversion Lift, Brand Lift, Geo Testing, Attribution, and Marketing Mix Modeling.

What about languages? 

Advanced English proficiency is required for effective communication with international teams and stakeholders. 

How much experience must I have? 

5–8 years of experience in Media Analytics, Marketing Analytics, Performance Marketing, or a related field.

Additional Information

Our Perks and Benefits: 

📚 Learning Opportunities: 

  • Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. 
  • Access to AI learning paths to stay up to date with the latest technologies. 
  • Study plans, courses, and additional certifications tailored to your role. 
  • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. 
  • English lessons to support your professional communication. 

👩‍🏫 Mentoring and Development: 

  • Career development plans and mentorship programs to help shape your path. 
     
  • 🎁 Celebrations & Support: 
  • Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. 
  • Company-provided equipment.  

⚖️ Flexible working options to help you strike the right balance.    

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters. 

Skills Required

  • 5-8 years of experience in Media Analytics, Marketing Analytics, Performance Marketing, or related field
  • Strong experience analyzing performance across multiple digital media channels (Paid Social, Programmatic, Display, Video, CTV, etc.)
  • Deep understanding of media metrics, campaign optimization, and performance measurement
  • Experience developing measurement plans, KPI frameworks, and executive-level reporting
  • Ability to translate business questions into analytical solutions and actionable recommendations
  • Intermediate SQL skills to query, transform, and analyze large datasets
  • Proficiency in Python for data analysis, automation, and reporting
  • Strong client-facing communication and stakeholder management skills
  • Experience leading projects and/or managing analytics teams
  • Proficiency with media platforms: Google Ads, DV360, CM360, Meta Ads, LinkedIn Ads, Amazon Ads, The Trade Desk
  • Familiarity with web analytics tools: Google Analytics 4 (GA4) and Adobe Analytics
  • Experience with data visualization tools: Tableau, Power BI, or Looker
  • Experience with marketing effectiveness frameworks, including attribution and Marketing Mix Modeling (MMM)
  • Familiarity with testing and measurement methodologies: A/B testing, Conversion Lift, Brand Lift, Geo Testing, Attribution
  • Advanced English proficiency
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