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.

We are looking for someone to execute 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. The ideal candidate is a hands-on analytics professional with strong media measurement expertise who can independently analyze campaign performance, uncover actionable insights, and support optimization efforts. Comfortable working with large datasets, collaborating across teams, and translating data into clear business recommendations.

Key responsibilities: 

• Analyze and monitor performance across digital media campaigns, including Paid Social, Programmatic, Display, Video, and CTV.
• Develop recurring and ad hoc reports to evaluate campaign effectiveness and identify performance trends.
• Translate campaign data into actionable insights and optimization recommendations.
• Support the development of measurement frameworks, KPI structures, and campaign performance analyses.
• Partner with media, marketing, and analytics teams to answer business questions and evaluate campaign outcomes.
• SQL and Python as tools for analysis, data preparation, automation, and insight generation. 
• Assist with test-and-learn initiatives by supporting hypothesis development, analysis, and reporting.
• Ensure data quality, reporting accuracy, and consistency across analytics deliverables.
• Contribute to audience analysis, campaign measurement, and performance reporting efforts.
• Support marketing effectiveness analyses by incorporating insights from Marketing Mix Models (MMM), attribution frameworks, and other measurement approaches to evaluate channel performance and business impact.

• Strong experience analyzing campaign performance across multiple digital media channels.
• Solid understanding of media metrics, campaign structures, optimization levers, and reporting methodologies.
• Experience with SQL and Python for analysis, data preparation, automation, and insight generation. 
• Experience building reports, dashboards, and performance analyses that support business decisions.
• Ability to identify trends, diagnose performance drivers, and communicate findings clearly.
• Strong analytical, problem-solving, and organizational skills.
• Ability to work effectively in cross-functional and client-facing environments.
• Experience with media platforms such as Google Ads, DV360, CM360, Meta Ads Manager, LinkedIn Ads, Amazon Ads, or similar.
• Familiarity with web analytics tools such as Google Analytics 4 (GA4) or Adobe Analytics.
• Proficiency in data visualization tools such as Tableau, Power BI, or Looker.
• Understanding of marketing measurement methodologies, including A/B testing, attribution, conversion lift, brand lift, geo-testing, and Marketing Mix Modeling (MMM).
• Ability to interpret MMM outputs and leverage findings to support media investment, budget allocation, and campaign optimization decisions.
• Advanced Excel and strong data analysis skills.
• Experience working with marketing performance data and familiarity with media effectiveness measurement frameworks, including attribution and Marketing Mix Modeling (MMM).
• Ability to connect campaign-level performance metrics with broader business outcomes and marketing investment decisions.

What about languages? 

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

How much experience must I have? 

3+ years of experience in Media Analytics, Marketing Analytics, Performance Marketing, or a related field.

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.