**At #Cognizant, we have an ideal opportunity for you to be part of one of the largest companies in the digital industry worldwide. A company where we look for people who contribute new ideas, experiencing a dynamic and growing environment. At Cognizant, we promote an inclusive culture where we value different perspectives.** We are currently looking for a **Measurement Effectiveness Agent** to join our growing team. **What you´ll do** As a Measurement Effectiveness Agent, you will work at the intersection of digital marketing and data science, helping our teams unlock insights around incrementality testing, causal impacts, attribution, and media mix modeling in a privacy-centric digital advertising ecosystem. You’ll collaborate closely with marketing strategists, advertisers/agencies, and data scientists to run experiments, analyze media effectiveness, and measure true business impact. **What do we value?** People with initiative and responsibility, who have strong technical skills, good communication, and excellent client interaction. We will also value detail-oriented individuals. **Key Responsibilities:** + Execute end-to-end causal impact studies, including identifying covariates, pulling and aggregating data, and analyzing results. + Develop and implement measurement frameworks to evaluate the effectiveness of digital marketing campaigns. + Translate data into business recommendations and create insights-based presentations. + Collaborate with data teams to access the right datasets and build clear, actionable insights. + Build intuitive dashboards and reports to communicate results across stakeholders. + Support ongoing performance optimization through deep data analysis. + Advertising experience from either the advertiser, agency, or other media owner side. + Experience in marketing analytics, return on investment/financial modeling, or statistical analysis. + Strong knowledge and experience in causal impact analysis. + Familiarity with marketing platforms like Google Ads, Meta, GA4, etc. + Comfortable turning complex data into simple stories for non-technical audiences. **Necessary skills and experience required:** + At least 2 years of experience in media analytics, strategy consulting, financial analysis, or equivalent analytical position. + Experience in translating data into business recommendations and delivering insights-based presentations. + Ability to evaluate incrementality experiments and measure the causal impact of campaigns. + English proficiency: Upper intermediate and above. + Portuguese proficiency: Upper intermediate and above. **Why Cognizant?** + A career in one of the largest and fastest growing IT services providers worldwide. + Ongoing support and funding with training and development plans. + Opportunity to work for leading global companies. + Our work environment is diverse, collaborative and inclusive. We create conditions for everyone to thrive. + A highly competitive salary and great benefits, such as OSDE for you and your primary family group, annual bonus and many other benefits that we are going to share during the selection process. **Location:** Buenos Aires, Argentina. **Shift:** Full time. **Are you ready?** **Join our team!** _Cognizant is always looking for top talent. We are searching for candidates to fill future needs within the business. This job posting represents potential future employment opportunities with Cognizant. Although the position is not currently available, we want to provide you with the opportunity to express your interest in future employment opportunities with Cognizant. If a job opportunity that you may be qualified for becomes available in the future, we will notify you. At that time you can determine whether you would like to apply for the specific open position. Thank you for your interest in Cognizant career opportunities._ Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.